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littlesuccess

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书生开源大模型训练营-第3讲-作业

提交方式:在各个班级对应的 GitHub Discussion 帖子中进行提交。

基础作业:

复现课程知识库助手搭建过程 (截图)

1 环境配置

1.1 InternLM 模型部署

 

创建一个InternLM的虚拟环境,方法是从已有的internlm-base中克隆:

输入命令:

bash /root/share/install_conda_env_internlm_base.sh InternLM

屏幕输出:

tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Cordoba: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Santo_Domingo
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Santo_Domingo: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Guatemala
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Guatemala: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/La_Paz
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/La_Paz: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Coral_Harbour
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Coral_Harbour: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Blanc-Sablon
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Blanc-Sablon: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Phoenix
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Phoenix: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Cayman
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Cayman: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Grand_Turk
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Grand_Turk: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Chihuahua
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Chihuahua: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Montreal
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Montreal: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/St_Vincent
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/St_Vincent: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Campo_Grande
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Campo_Grande: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/St_Kitts
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/St_Kitts: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Nome
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Nome: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Caracas
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Caracas: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Knox
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Knox: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Winamac
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Winamac: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Marengo
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Marengo: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Petersburg
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Petersburg: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Indianapolis
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Indianapolis: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Tell_City
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Tell_City: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Vincennes
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Vincennes: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Vevay
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Indiana/Vevay: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Thunder_Bay
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Thunder_Bay: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/St_Johns
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/St_Johns: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/St_Lucia
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/St_Lucia: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Vancouver
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Vancouver: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Costa_Rica
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/America/Costa_Rica: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Factory
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Factory: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Zulu
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Zulu: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/CST6CDT
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/CST6CDT: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/GB
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/GB: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/GMT-0
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/GMT-0: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/zone1970.tab
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/zone1970.tab: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Monrovia
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Monrovia: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Ouagadougou
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Ouagadougou: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Nouakchott
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Nouakchott: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Khartoum
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Khartoum: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Malabo
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Malabo: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Algiers
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Algiers: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Kigali
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Kigali: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Conakry
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Conakry: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Luanda
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Luanda: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Libreville
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Libreville: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Banjul
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Banjul: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Kinshasa
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Kinshasa: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Lome
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Lome: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Niamey
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Niamey: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Johannesburg
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Johannesburg: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Porto-Novo
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Porto-Novo: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Windhoek
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Windhoek: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Sao_Tome
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Sao_Tome: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Maseru
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Maseru: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Mogadishu
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Mogadishu: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Bamako
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Bamako: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Bujumbura
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Bujumbura: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/El_Aaiun
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/El_Aaiun: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Blantyre
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Blantyre: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Bissau
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Bissau: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Ceuta
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Ceuta: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Bangui
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Bangui: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Harare
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Harare: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Cairo
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Cairo: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Dar_es_Salaam
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Dar_es_Salaam: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Brazzaville
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Brazzaville: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Freetown
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Freetown: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Abidjan
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Abidjan: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Addis_Ababa
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Addis_Ababa: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Casablanca
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Casablanca: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Asmara
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Asmara: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Douala
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Douala: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Dakar
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Dakar: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Gaborone
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Gaborone: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Kampala
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Kampala: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Accra
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Accra: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Maputo
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Maputo: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Lusaka
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Lusaka: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Djibouti
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Djibouti: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Lubumbashi
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Lubumbashi: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Timbuktu
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Timbuktu: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Asmera
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Asmera: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Mbabane
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Mbabane: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Juba
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Juba: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Tripoli
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Tripoli: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Lagos
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Lagos: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Nairobi
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Nairobi: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Ndjamena
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Ndjamena: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Tunis
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Africa/Tunis: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Kwajalein
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Kwajalein: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/MST7MDT
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/MST7MDT: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Brazil/
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Brazil: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Brazil/West
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Brazil/West: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Brazil/DeNoronha
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Brazil/DeNoronha: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Brazil/East
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Brazil/East: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Brazil/Acre
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Brazil/Acre: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/GB-Eire
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/GB-Eire: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/CET
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/CET: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Arctic/
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Arctic: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Arctic/Longyearbyen
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Arctic/Longyearbyen: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/ROK
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/ROK: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/zone.tab
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/zone.tab: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Turkey
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Turkey: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/MET
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/MET: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/UCT
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/UCT: skipping existing file
./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Cuba
tar: ./pkgs/tzdata-2023c-h04d1e81_0/share/zoneinfo/Cuba: skipping existing file
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----------
start create the new conda env: InternLM
Retrieving notices: ...working... done
Source:      /share/conda_envs/internlm-base
Destination: /root/.conda/envs/InternLM
Packages: 96
Files: 0

Downloading and Extracting Packages:


Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate InternLM
#
# To deactivate an active environment, use
#
#     $ conda deactivate

Finised!
Now you can use your environment by typing:
conda activate InternLM
(base) root@intern-studio-069640:/opt/jupyterlab# 
View Code

激活刚刚创建的InternLM虚拟环境:

conda activate InternLM

 代表已经激活虚拟环境InternLM。

接下来在环境中安装运行 demo 所需要的依赖。 

 

# 升级pip
python -m pip install --upgrade pip

pip install modelscope==1.9.5
pip install transformers==4.35.2
pip install streamlit==1.24.0
pip install sentencepiece==0.1.99
pip install accelerate==0.24.1

屏幕输出:

(InternLM) root@intern-studio-069640:/opt/jupyterlab# # 升级pip
(InternLM) root@intern-studio-069640:/opt/jupyterlab# python -m pip install --upgrade pip

Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Requirement already satisfied: pip in /root/.conda/envs/InternLM/lib/python3.10/site-packages (23.3.1)
Collecting pip
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Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 23.3.1
    Uninstalling pip-23.3.1:
      Successfully uninstalled pip-23.3.1
Successfully installed pip-24.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# 
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install modelscope==1.9.5
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
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Installing collected packages: sortedcontainers, pytz, crcmod, addict, zipp, xxhash, tzdata, tqdm, tomli, six, simplejson, scipy, pyyaml, pycryptodome, pyarrow, platformdirs, packaging, multidict, jmespath, gast, fsspec, frozenlist, einops, dill, attrs, async-timeout, yarl, python-dateutil, multiprocess, importlib-metadata, huggingface-hub, aiosignal, yapf, pandas, aliyun-python-sdk-core, aiohttp, aliyun-python-sdk-kms, oss2, datasets, modelscope
Successfully installed addict-2.4.0 aiohttp-3.9.3 aiosignal-1.3.1 aliyun-python-sdk-core-2.14.0 aliyun-python-sdk-kms-2.16.2 async-timeout-4.0.3 attrs-23.2.0 crcmod-1.7 datasets-2.13.0 dill-0.3.6 einops-0.7.0 frozenlist-1.4.1 fsspec-2024.2.0 gast-0.5.4 huggingface-hub-0.20.3 importlib-metadata-7.0.1 jmespath-0.10.0 modelscope-1.9.5 multidict-6.0.5 multiprocess-0.70.14 oss2-2.18.4 packaging-23.2 pandas-2.2.0 platformdirs-4.2.0 pyarrow-15.0.0 pycryptodome-3.20.0 python-dateutil-2.8.2 pytz-2024.1 pyyaml-6.0.1 scipy-1.12.0 simplejson-3.19.2 six-1.16.0 sortedcontainers-2.4.0 tomli-2.0.1 tqdm-4.66.2 tzdata-2024.1 xxhash-3.4.1 yapf-0.40.2 yarl-1.9.4 zipp-3.17.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install transformers==4.35.2
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting transformers==4.35.2
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/12/dd/f17b11a93a9ca27728e12512d167eb1281c151c4c6881d3ab59eb58f4127/transformers-4.35.2-py3-none-any.whl (7.9 MB)
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Collecting regex!=2019.12.17 (from transformers==4.35.2)
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Collecting tokenizers<0.19,>=0.14 (from transformers==4.35.2)
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Installing collected packages: safetensors, regex, tokenizers, transformers
Successfully installed regex-2023.12.25 safetensors-0.4.2 tokenizers-0.15.2 transformers-4.35.2
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install streamlit==1.24.0
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting streamlit==1.24.0
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/3d/5f/1716c66c58a8b080f9673e7ca569044b1b8ac6a5cd8519fe4b1afa89abf8/streamlit-1.24.0-py2.py3-none-any.whl (8.9 MB)
Collecting altair<6,>=4.0 (from streamlit==1.24.0)
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Collecting blinker<2,>=1.0.0 (from streamlit==1.24.0)
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Collecting click<9,>=7.0 (from streamlit==1.24.0)
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Collecting pillow<10,>=6.2.0 (from streamlit==1.24.0)
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Collecting protobuf<5,>=3.20 (from streamlit==1.24.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/15/db/7f731524fe0e56c6b2eb57d05b55d3badd80ef7d1f1ed59db191b2fdd8ab/protobuf-4.25.3-cp37-abi3-manylinux2014_x86_64.whl (294 kB)
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Collecting rich<14,>=10.11.0 (from streamlit==1.24.0)
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Collecting toml<2 (from streamlit==1.24.0)
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Collecting validators<1,>=0.2 (from streamlit==1.24.0)
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Collecting gitpython!=3.1.19,<4,>=3 (from streamlit==1.24.0)
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Collecting pydeck<1,>=0.1.dev5 (from streamlit==1.24.0)
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Collecting tornado<7,>=6.0.3 (from streamlit==1.24.0)
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Collecting watchdog (from streamlit==1.24.0)
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Collecting jsonschema>=3.0 (from altair<6,>=4.0->streamlit==1.24.0)
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Collecting toolz (from altair<6,>=4.0->streamlit==1.24.0)
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Collecting gitdb<5,>=4.0.1 (from gitpython!=3.1.19,<4,>=3->streamlit==1.24.0)
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Collecting markdown-it-py>=2.2.0 (from rich<14,>=10.11.0->streamlit==1.24.0)
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Collecting pygments<3.0.0,>=2.13.0 (from rich<14,>=10.11.0->streamlit==1.24.0)
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Collecting pytz-deprecation-shim (from tzlocal<5,>=1.1->streamlit==1.24.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/eb/73/3eaab547ca809754e67e06871cff0fc962bafd4b604e15f31896a0f94431/pytz_deprecation_shim-0.1.0.post0-py2.py3-none-any.whl (15 kB)
Collecting smmap<6,>=3.0.1 (from gitdb<5,>=4.0.1->gitpython!=3.1.19,<4,>=3->streamlit==1.24.0)
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Collecting jsonschema-specifications>=2023.03.6 (from jsonschema>=3.0->altair<6,>=4.0->streamlit==1.24.0)
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Collecting referencing>=0.28.4 (from jsonschema>=3.0->altair<6,>=4.0->streamlit==1.24.0)
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Collecting rpds-py>=0.7.1 (from jsonschema>=3.0->altair<6,>=4.0->streamlit==1.24.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/15/f5/769fc90b3af55e6288ce683539ffd68b93dbdf1a5d86050f063828e5911e/rpds_py-0.18.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB)
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Collecting mdurl~=0.1 (from markdown-it-py>=2.2.0->rich<14,>=10.11.0->streamlit==1.24.0)
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Installing collected packages: watchdog, validators, tornado, toolz, toml, tenacity, smmap, rpds-py, pytz-deprecation-shim, pympler, pygments, protobuf, pillow, mdurl, importlib-metadata, click, cachetools, blinker, tzlocal, referencing, pydeck, markdown-it-py, gitdb, rich, jsonschema-specifications, gitpython, jsonschema, altair, streamlit
  Attempting uninstall: pillow
    Found existing installation: Pillow 10.0.1
    Uninstalling Pillow-10.0.1:
      Successfully uninstalled Pillow-10.0.1
  Attempting uninstall: importlib-metadata
    Found existing installation: importlib-metadata 7.0.1
    Uninstalling importlib-metadata-7.0.1:
      Successfully uninstalled importlib-metadata-7.0.1
Successfully installed altair-5.2.0 blinker-1.7.0 cachetools-5.3.2 click-8.1.7 gitdb-4.0.11 gitpython-3.1.42 importlib-metadata-6.11.0 jsonschema-4.21.1 jsonschema-specifications-2023.12.1 markdown-it-py-3.0.0 mdurl-0.1.2 pillow-9.5.0 protobuf-4.25.3 pydeck-0.8.1b0 pygments-2.17.2 pympler-1.0.1 pytz-deprecation-shim-0.1.0.post0 referencing-0.33.0 rich-13.7.0 rpds-py-0.18.0 smmap-5.0.1 streamlit-1.24.0 tenacity-8.2.3 toml-0.10.2 toolz-0.12.1 tornado-6.4 tzlocal-4.3.1 validators-0.22.0 watchdog-4.0.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install sentencepiece==0.1.99
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting sentencepiece==0.1.99
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/7f/e5/323dc813b3e1339305f888d035e2f3725084fc4dcf051995b366dd26cc90/sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)
Installing collected packages: sentencepiece
Successfully installed sentencepiece-0.1.99
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install accelerate==0.24.1
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting accelerate==0.24.1
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  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/c5/4f/0e22aaa246f96d6ac87fe5ebb9c5a693fbe8877f537a1022527c47ca43c5/psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB)
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Installing collected packages: psutil, accelerate
Successfully installed accelerate-0.24.1 psutil-5.9.8
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# 
View Code

 

1.2 模型下载

在本地的 /root/share/temp/model_repos/internlm-chat-7b 目录下已存储有所需的模型文件参数,可以直接拷贝到个人目录的模型保存地址:

mkdir -p /root/data/model/Shanghai_AI_Laboratory
cp -r /root/share/temp/model_repos/internlm-chat-7b /root/data/model/Shanghai_AI_Laboratory/internlm-chat-7b

屏幕输出:

(InternLM) root@intern-studio-069640:/opt/jupyterlab# mkdir -p /root/data/model/Shanghai_AI_Laboratory
(InternLM) root@intern-studio-069640:/opt/jupyterlab# cp -r /root/share/temp/model_repos/internlm-chat-7b /root/data/model/Shanghai_AI_Laboratory/internlm-chat-7b
(InternLM) root@intern-studio-069640:/opt/jupyterlab# 

确认文件已经拷贝好:

 

1.3 LangChain 相关环境配置

在已完成 InternLM 的部署基础上,还需要安装以下依赖包:

pip install langchain==0.0.292
pip install gradio==4.4.0
pip install chromadb==0.4.15
pip install sentence-transformers==2.2.2
pip install unstructured==0.10.30
pip install markdown==3.3.7

屏幕输出:

(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install langchain==0.0.292
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting langchain==0.0.292
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/86/dc/e2c7599b03455ea675107472b60e836f693ac8453e7c1119b61e6e60f574/langchain-0.0.292-py3-none-any.whl (1.7 MB)
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Collecting SQLAlchemy<3,>=1.4 (from langchain==0.0.292)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/52/35/07882bf478515af007b7c3809fae9dbfa38f5bdd089efd31ce6abdbe66a5/SQLAlchemy-2.0.27-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB)
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Collecting dataclasses-json<0.6.0,>=0.5.7 (from langchain==0.0.292)
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Collecting marshmallow<4.0.0,>=3.18.0 (from dataclasses-json<0.6.0,>=0.5.7->langchain==0.0.292)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/57/e9/4368d49d3b462da16a3bac976487764a84dd85cef97232c7bd61f5bdedf3/marshmallow-3.20.2-py3-none-any.whl (49 kB)
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Collecting greenlet!=0.4.17 (from SQLAlchemy<3,>=1.4->langchain==0.0.292)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/24/35/945d5b10648fec9b20bcc6df8952d20bb3bba76413cd71c1fdbee98f5616/greenlet-3.0.3-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (616 kB)
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Collecting mypy-extensions>=0.3.0 (from typing-inspect<1,>=0.4.0->dataclasses-json<0.6.0,>=0.5.7->langchain==0.0.292)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/2a/e2/5d3f6ada4297caebe1a2add3b126fe800c96f56dbe5d1988a2cbe0b267aa/mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)
Installing collected packages: pydantic-core, numexpr, mypy-extensions, marshmallow, greenlet, annotated-types, typing-inspect, SQLAlchemy, pydantic, langsmith, dataclasses-json, langchain
Successfully installed SQLAlchemy-2.0.27 annotated-types-0.6.0 dataclasses-json-0.5.14 greenlet-3.0.3 langchain-0.0.292 langsmith-0.0.92 marshmallow-3.20.2 mypy-extensions-1.0.0 numexpr-2.9.0 pydantic-2.6.1 pydantic-core-2.16.2 typing-inspect-0.9.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install gradio==4.4.0
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting gradio==4.4.0
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/bc/d7/265f368048d5c6d87901db82a470cd9ca3b95320f2c5bbb548336c1c72a6/gradio-4.4.0-py3-none-any.whl (15.4 MB)
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Collecting aiofiles<24.0,>=22.0 (from gradio==4.4.0)
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/c5/19/5af6804c4cc0fed83f47bff6e413a98a36618e7d40185cd36e69737f3b0e/aiofiles-23.2.1-py3-none-any.whl (15 kB)
Requirement already satisfied: altair<6.0,>=4.2.0 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from gradio==4.4.0) (5.2.0)
Collecting fastapi (from gradio==4.4.0)
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/bf/97/60351307ab4502908d29f64f2801a36709a3f1888447bb328bc373d6ca0e/fastapi-0.109.2-py3-none-any.whl (92 kB)
Collecting ffmpy (from gradio==4.4.0)
  Using cached ffmpy-0.3.2-py3-none-any.whl
Collecting gradio-client==0.7.0 (from gradio==4.4.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/34/0d/94ef1fe636519984b50a1a8dc1339601e45af32b9cf7e78c67e595a75c73/gradio_client-0.7.0-py3-none-any.whl (302 kB)
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Collecting httpx (from gradio==4.4.0)
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/39/9b/4937d841aee9c2c8102d9a4eeb800c7dad25386caabb4a1bf5010df81a57/httpx-0.26.0-py3-none-any.whl (75 kB)
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Collecting matplotlib~=3.0 (from gradio==4.4.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/c1/f2/325897d6c498278b0f8b460d44b516f5db865ddb4ba9018e9fe58a3e4633/matplotlib-3.8.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.6 MB)
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Collecting orjson~=3.0 (from gradio==4.4.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/41/41/302b51345b61afb68ce166e4be2ebeef0b86d7aa9f28ca4fcf7c3d612d45/orjson-3.9.14-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (138 kB)
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Collecting typer<1.0,>=0.9 (from typer[all]<1.0,>=0.9->gradio==4.4.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/bf/0e/c68adf10adda05f28a6ed7b9f4cd7b8e07f641b44af88ba72d9c89e4de7a/typer-0.9.0-py3-none-any.whl (45 kB)
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Collecting uvicorn>=0.14.0 (from gradio==4.4.0)
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Collecting websockets<12.0,>=10.0 (from gradio-client==0.7.0->gradio==4.4.0)
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Collecting contourpy>=1.0.1 (from matplotlib~=3.0->gradio==4.4.0)
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Collecting cycler>=0.10 (from matplotlib~=3.0->gradio==4.4.0)
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Collecting fonttools>=4.22.0 (from matplotlib~=3.0->gradio==4.4.0)
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Collecting kiwisolver>=1.3.1 (from matplotlib~=3.0->gradio==4.4.0)
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Collecting pyparsing>=2.3.1 (from matplotlib~=3.0->gradio==4.4.0)
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Collecting colorama<0.5.0,>=0.4.3 (from typer[all]<1.0,>=0.9->gradio==4.4.0)
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Collecting shellingham<2.0.0,>=1.3.0 (from typer[all]<1.0,>=0.9->gradio==4.4.0)
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Collecting starlette<0.37.0,>=0.36.3 (from fastapi->gradio==4.4.0)
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Collecting typing-extensions~=4.0 (from gradio==4.4.0)
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Collecting anyio (from httpx->gradio==4.4.0)
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Collecting httpcore==1.* (from httpx->gradio==4.4.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/11/a6/24139fa27831cf2127fcf578d6d0a852a611f10cefecd800b1c557333d7a/httpcore-1.0.3-py3-none-any.whl (77 kB)
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Collecting sniffio (from httpx->gradio==4.4.0)
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Collecting exceptiongroup>=1.0.2 (from anyio->httpx->gradio==4.4.0)
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Installing collected packages: pydub, ffmpy, websockets, typing-extensions, tomlkit, sniffio, shellingham, semantic-version, python-multipart, pyparsing, orjson, kiwisolver, importlib-resources, h11, fonttools, exceptiongroup, cycler, contourpy, colorama, aiofiles, uvicorn, typer, matplotlib, httpcore, anyio, starlette, httpx, gradio-client, fastapi, gradio
  Attempting uninstall: typing-extensions
    Found existing installation: typing_extensions 4.7.1
    Uninstalling typing_extensions-4.7.1:
      Successfully uninstalled typing_extensions-4.7.1
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
triton 2.0.0 requires cmake, which is not installed.
triton 2.0.0 requires lit, which is not installed.
Successfully installed aiofiles-23.2.1 anyio-4.2.0 colorama-0.4.6 contourpy-1.2.0 cycler-0.12.1 exceptiongroup-1.2.0 fastapi-0.109.2 ffmpy-0.3.2 fonttools-4.49.0 gradio-4.4.0 gradio-client-0.7.0 h11-0.14.0 httpcore-1.0.3 httpx-0.26.0 importlib-resources-6.1.1 kiwisolver-1.4.5 matplotlib-3.8.3 orjson-3.9.14 pydub-0.25.1 pyparsing-3.1.1 python-multipart-0.0.9 semantic-version-2.10.0 shellingham-1.5.4 sniffio-1.3.0 starlette-0.36.3 tomlkit-0.12.0 typer-0.9.0 typing-extensions-4.9.0 uvicorn-0.27.1 websockets-11.0.3
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install chromadb==0.4.15
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting chromadb==0.4.15
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f1/2a/549be867b5ab45112aacd9d113af788768a015e9e6d0ade831b45c1df877/chromadb-0.4.15-py3-none-any.whl (479 kB)
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Requirement already satisfied: requests>=2.28 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from chromadb==0.4.15) (2.31.0)
Requirement already satisfied: pydantic>=1.9 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from chromadb==0.4.15) (2.6.1)
Collecting chroma-hnswlib==0.7.3 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/2f/48/f7609a3cb15a24c5d8ec18911ce10ac94144e9a89584f0a86bf9871b024c/chroma_hnswlib-0.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB)
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Requirement already satisfied: fastapi>=0.95.2 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from chromadb==0.4.15) (0.109.2)
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Collecting posthog>=2.4.0 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/55/05/81ace5be5e4026c09fb2dfde6ff7862b9133535a471fcec4c2232727160f/posthog-3.4.1-py2.py3-none-any.whl (41 kB)
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Requirement already satisfied: typing-extensions>=4.5.0 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from chromadb==0.4.15) (4.9.0)
Collecting pulsar-client>=3.1.0 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/5d/d0/5d9ae2c1732eacbbd679e700027888da14aa4bc491874363450458edcb7e/pulsar_client-3.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.4 MB)
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Collecting onnxruntime>=1.14.1 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/7c/c8/9131986ad60c900af8790dad66d7422b169daa578d6e047798ff02434c48/onnxruntime-1.17.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (6.8 MB)
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Collecting opentelemetry-api>=1.2.0 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/fc/2e/a8509051aa446783e24ee03d74bd268c07d5d25a8d48686cfcf3429d5d32/opentelemetry_api-1.22.0-py3-none-any.whl (57 kB)
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Collecting opentelemetry-exporter-otlp-proto-grpc>=1.2.0 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/88/76/9057dce1afb24204cbe7f1c04629980f7b0f9aa5f5114c39d2e25f24209a/opentelemetry_exporter_otlp_proto_grpc-1.22.0-py3-none-any.whl (18 kB)
Collecting opentelemetry-sdk>=1.2.0 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/ff/94/588f49e0dd9a62ec46102736d2378330032a55e19c79ff7e4febea7ebed1/opentelemetry_sdk-1.22.0-py3-none-any.whl (105 kB)
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Requirement already satisfied: tokenizers>=0.13.2 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from chromadb==0.4.15) (0.15.2)
Collecting pypika>=0.48.9 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/c7/2c/94ed7b91db81d61d7096ac8f2d325ec562fc75e35f3baea8749c85b28784/PyPika-0.48.9.tar.gz (67 kB)
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  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Installing backend dependencies ... done
  Preparing metadata (pyproject.toml) ... done
Requirement already satisfied: tqdm>=4.65.0 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from chromadb==0.4.15) (4.66.2)
Collecting overrides>=7.3.1 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/2c/ab/fc8290c6a4c722e5514d80f62b2dc4c4df1a68a41d1364e625c35990fcf3/overrides-7.7.0-py3-none-any.whl (17 kB)
Requirement already satisfied: importlib-resources in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from chromadb==0.4.15) (6.1.1)
Collecting grpcio>=1.58.0 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/db/d4/8643b32c1ca0efa31b0a75b33e5750fe1597724bff684128096670eea13d/grpcio-1.60.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.4 MB)
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Collecting bcrypt>=4.0.1 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/42/9d/a88027b5a8752f4b1831d957470f48e23cebc112aaf762880f3adbfba9cf/bcrypt-4.1.2-cp39-abi3-manylinux_2_28_x86_64.whl (698 kB)
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Building wheels for collected packages: pypika
  Building wheel for pypika (pyproject.toml) ... done
  Created wheel for pypika: filename=PyPika-0.48.9-py2.py3-none-any.whl size=53723 sha256=9e820bd826f21c74e3dc851ce1794c67a87f7959a2b6beaec86acef05bd55771
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Successfully built pypika
Installing collected packages: pypika, monotonic, flatbuffers, wrapt, websocket-client, uvloop, python-dotenv, pyasn1, pulsar-client, overrides, opentelemetry-semantic-conventions, opentelemetry-proto, oauthlib, humanfriendly, httptools, grpcio, googleapis-common-protos, chroma-hnswlib, bcrypt, backoff, watchfiles, rsa, requests-oauthlib, pyasn1-modules, posthog, opentelemetry-exporter-otlp-proto-common, deprecated, coloredlogs, opentelemetry-api, onnxruntime, google-auth, opentelemetry-sdk, kubernetes, opentelemetry-exporter-otlp-proto-grpc, chromadb
Successfully installed backoff-2.2.1 bcrypt-4.1.2 chroma-hnswlib-0.7.3 chromadb-0.4.15 coloredlogs-15.0.1 deprecated-1.2.14 flatbuffers-23.5.26 google-auth-2.28.0 googleapis-common-protos-1.62.0 grpcio-1.60.1 httptools-0.6.1 humanfriendly-10.0 kubernetes-29.0.0 monotonic-1.6 oauthlib-3.2.2 onnxruntime-1.17.0 opentelemetry-api-1.22.0 opentelemetry-exporter-otlp-proto-common-1.22.0 opentelemetry-exporter-otlp-proto-grpc-1.22.0 opentelemetry-proto-1.22.0 opentelemetry-sdk-1.22.0 opentelemetry-semantic-conventions-0.43b0 overrides-7.7.0 posthog-3.4.1 pulsar-client-3.4.0 pyasn1-0.5.1 pyasn1-modules-0.3.0 pypika-0.48.9 python-dotenv-1.0.1 requests-oauthlib-1.3.1 rsa-4.9 uvloop-0.19.0 watchfiles-0.21.0 websocket-client-1.7.0 wrapt-1.16.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install sentence-transformers==2.2.2
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting sentence-transformers==2.2.2
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  Preparing metadata (setup.py) ... done
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Building wheels for collected packages: sentence-transformers
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Successfully built sentence-transformers
Installing collected packages: threadpoolctl, joblib, scikit-learn, nltk, sentence-transformers
Successfully installed joblib-1.3.2 nltk-3.8.1 scikit-learn-1.4.1.post1 sentence-transformers-2.2.2 threadpoolctl-3.3.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install unstructured==0.10.30
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting unstructured==0.10.30
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/e3/95/28c08bbdd98a9bdbb7f52c07c0e81090ea5f89af5b6cac7c7c6d86ce2a5e/unstructured-0.10.30-py3-none-any.whl (1.7 MB)
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Collecting chardet (from unstructured==0.10.30)
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  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/40/44/4a5f08c96eb108af5cb50b41f76142f0afa346dfa99d5296fe7202a11854/tabulate-0.9.0-py3-none-any.whl (35 kB)
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  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b1/fe/e8c672695b37eecc5cbf43e1d0638d88d66ba3a44c4d321c796f4e59167f/beautifulsoup4-4.12.3-py3-none-any.whl (147 kB)
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Building wheels for collected packages: langdetect
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Installing collected packages: filetype, tabulate, soupsieve, rapidfuzz, python-magic, python-iso639, lxml, langdetect, emoji, chardet, beautifulsoup4, unstructured
Successfully installed beautifulsoup4-4.12.3 chardet-5.2.0 emoji-2.10.1 filetype-1.2.0 langdetect-1.0.9 lxml-5.1.0 python-iso639-2024.2.7 python-magic-0.4.27 rapidfuzz-3.6.1 soupsieve-2.5 tabulate-0.9.0 unstructured-0.10.30
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install markdown==3.3.7

(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install markdown==3.3.7
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting markdown==3.3.7
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f3/df/ca72f352e15b6f8ce32b74af029f1189abffb906f7c137501ffe69c98a65/Markdown-3.3.7-py3-none-any.whl (97 kB)
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Installing collected packages: markdown
Successfully installed markdown-3.3.7
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab#

 

接下来安装开源向量模型。首先需要使用 huggingface 官方提供的 huggingface-cli 命令行工具。安装依赖:

pip install -U huggingface_hub

屏幕输出:

(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install -U huggingface_hub
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Requirement already satisfied: huggingface_hub in /root/.conda/envs/InternLM/lib/python3.10/site-packages (0.20.3)
Requirement already satisfied: filelock in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface_hub) (3.13.1)
Requirement already satisfied: fsspec>=2023.5.0 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface_hub) (2024.2.0)
Requirement already satisfied: requests in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface_hub) (2.31.0)
Requirement already satisfied: tqdm>=4.42.1 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface_hub) (4.66.2)
Requirement already satisfied: pyyaml>=5.1 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface_hub) (6.0.1)
Requirement already satisfied: typing-extensions>=3.7.4.3 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface_hub) (4.9.0)
Requirement already satisfied: packaging>=20.9 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface_hub) (23.2)
Requirement already satisfied: charset-normalizer<4,>=2 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->huggingface_hub) (2.0.4)
Requirement already satisfied: idna<4,>=2.5 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->huggingface_hub) (3.4)
Requirement already satisfied: urllib3<3,>=1.21.1 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->huggingface_hub) (1.26.18)
Requirement already satisfied: certifi>=2017.4.17 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->huggingface_hub) (2023.11.17)
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# 
View Code

在/root/data/目录下建立download_hf.py文件,其代码如下:

import os

# 下载模型
os.system('huggingface-cli download --resume-download sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 --local-dir /root/data/model/sentence-transformer')

切换到/root/data目录,执行上述python脚本:

屏幕输出:

(InternLM) root@intern-studio-069640:~/data# python download_hf.py 
Consider using `hf_transfer` for faster downloads. This solution comes with some limitations. See https://huggingface.co/docs/huggingface_hub/hf_transfer for more details.
Fetching 14 files:   0%|                                                                                                                                                                              | 0/14 [00:00<?, ?it/s]downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/.gitattributes to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/ef4a55971246c7825073cfa3690eeda3d967f376.incomplete
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Installing collected packages: pydantic-core, numexpr, mypy-extensions, marshmallow, greenlet, annotated-types, typing-inspect, SQLAlchemy, pydantic, langsmith, dataclasses-json, langchain
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WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install gradio==4.4.0
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
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Collecting importlib-resources<7.0,>=1.3 (from gradio==4.4.0)
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Collecting matplotlib~=3.0 (from gradio==4.4.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/c1/f2/325897d6c498278b0f8b460d44b516f5db865ddb4ba9018e9fe58a3e4633/matplotlib-3.8.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.6 MB)
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Collecting orjson~=3.0 (from gradio==4.4.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/41/41/302b51345b61afb68ce166e4be2ebeef0b86d7aa9f28ca4fcf7c3d612d45/orjson-3.9.14-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (138 kB)
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Requirement already satisfied: packaging in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from gradio==4.4.0) (23.2)
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Collecting pydub (from gradio==4.4.0)
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Collecting python-multipart (from gradio==4.4.0)
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Collecting semantic-version~=2.0 (from gradio==4.4.0)
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Collecting tomlkit==0.12.0 (from gradio==4.4.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/68/4f/12207897848a653d03ebbf6775a29d949408ded5f99b2d87198bc5c93508/tomlkit-0.12.0-py3-none-any.whl (37 kB)
Collecting typer<1.0,>=0.9 (from typer[all]<1.0,>=0.9->gradio==4.4.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/bf/0e/c68adf10adda05f28a6ed7b9f4cd7b8e07f641b44af88ba72d9c89e4de7a/typer-0.9.0-py3-none-any.whl (45 kB)
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Collecting uvicorn>=0.14.0 (from gradio==4.4.0)
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Collecting websockets<12.0,>=10.0 (from gradio-client==0.7.0->gradio==4.4.0)
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Collecting contourpy>=1.0.1 (from matplotlib~=3.0->gradio==4.4.0)
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Collecting cycler>=0.10 (from matplotlib~=3.0->gradio==4.4.0)
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Collecting fonttools>=4.22.0 (from matplotlib~=3.0->gradio==4.4.0)
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Collecting kiwisolver>=1.3.1 (from matplotlib~=3.0->gradio==4.4.0)
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Collecting pyparsing>=2.3.1 (from matplotlib~=3.0->gradio==4.4.0)
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Collecting colorama<0.5.0,>=0.4.3 (from typer[all]<1.0,>=0.9->gradio==4.4.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl (25 kB)
Collecting shellingham<2.0.0,>=1.3.0 (from typer[all]<1.0,>=0.9->gradio==4.4.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/e0/f9/0595336914c5619e5f28a1fb793285925a8cd4b432c9da0a987836c7f822/shellingham-1.5.4-py2.py3-none-any.whl (9.8 kB)
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Collecting h11>=0.8 (from uvicorn>=0.14.0->gradio==4.4.0)
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Collecting starlette<0.37.0,>=0.36.3 (from fastapi->gradio==4.4.0)
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Collecting typing-extensions~=4.0 (from gradio==4.4.0)
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Collecting anyio (from httpx->gradio==4.4.0)
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/bf/cd/d6d9bb1dadf73e7af02d18225cbd2c93f8552e13130484f1c8dcfece292b/anyio-4.2.0-py3-none-any.whl (85 kB)
Collecting httpcore==1.* (from httpx->gradio==4.4.0)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/11/a6/24139fa27831cf2127fcf578d6d0a852a611f10cefecd800b1c557333d7a/httpcore-1.0.3-py3-none-any.whl (77 kB)
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Collecting sniffio (from httpx->gradio==4.4.0)
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Collecting exceptiongroup>=1.0.2 (from anyio->httpx->gradio==4.4.0)
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Installing collected packages: pydub, ffmpy, websockets, typing-extensions, tomlkit, sniffio, shellingham, semantic-version, python-multipart, pyparsing, orjson, kiwisolver, importlib-resources, h11, fonttools, exceptiongroup, cycler, contourpy, colorama, aiofiles, uvicorn, typer, matplotlib, httpcore, anyio, starlette, httpx, gradio-client, fastapi, gradio
  Attempting uninstall: typing-extensions
    Found existing installation: typing_extensions 4.7.1
    Uninstalling typing_extensions-4.7.1:
      Successfully uninstalled typing_extensions-4.7.1
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
triton 2.0.0 requires cmake, which is not installed.
triton 2.0.0 requires lit, which is not installed.
Successfully installed aiofiles-23.2.1 anyio-4.2.0 colorama-0.4.6 contourpy-1.2.0 cycler-0.12.1 exceptiongroup-1.2.0 fastapi-0.109.2 ffmpy-0.3.2 fonttools-4.49.0 gradio-4.4.0 gradio-client-0.7.0 h11-0.14.0 httpcore-1.0.3 httpx-0.26.0 importlib-resources-6.1.1 kiwisolver-1.4.5 matplotlib-3.8.3 orjson-3.9.14 pydub-0.25.1 pyparsing-3.1.1 python-multipart-0.0.9 semantic-version-2.10.0 shellingham-1.5.4 sniffio-1.3.0 starlette-0.36.3 tomlkit-0.12.0 typer-0.9.0 typing-extensions-4.9.0 uvicorn-0.27.1 websockets-11.0.3
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install chromadb==0.4.15
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting chromadb==0.4.15
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f1/2a/549be867b5ab45112aacd9d113af788768a015e9e6d0ade831b45c1df877/chromadb-0.4.15-py3-none-any.whl (479 kB)
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Requirement already satisfied: requests>=2.28 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from chromadb==0.4.15) (2.31.0)
Requirement already satisfied: pydantic>=1.9 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from chromadb==0.4.15) (2.6.1)
Collecting chroma-hnswlib==0.7.3 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/2f/48/f7609a3cb15a24c5d8ec18911ce10ac94144e9a89584f0a86bf9871b024c/chroma_hnswlib-0.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB)
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Requirement already satisfied: fastapi>=0.95.2 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from chromadb==0.4.15) (0.109.2)
Requirement already satisfied: uvicorn>=0.18.3 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from uvicorn[standard]>=0.18.3->chromadb==0.4.15) (0.27.1)
Collecting posthog>=2.4.0 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/55/05/81ace5be5e4026c09fb2dfde6ff7862b9133535a471fcec4c2232727160f/posthog-3.4.1-py2.py3-none-any.whl (41 kB)
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Requirement already satisfied: typing-extensions>=4.5.0 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from chromadb==0.4.15) (4.9.0)
Collecting pulsar-client>=3.1.0 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/5d/d0/5d9ae2c1732eacbbd679e700027888da14aa4bc491874363450458edcb7e/pulsar_client-3.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.4 MB)
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Collecting onnxruntime>=1.14.1 (from chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/7c/c8/9131986ad60c900af8790dad66d7422b169daa578d6e047798ff02434c48/onnxruntime-1.17.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (6.8 MB)
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Collecting pyasn1<0.6.0,>=0.4.6 (from pyasn1-modules>=0.2.1->google-auth>=1.0.1->kubernetes>=28.1.0->chromadb==0.4.15)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/d1/75/4686d2872bf2fc0b37917cbc8bbf0dd3a5cdb0990799be1b9cbf1e1eb733/pyasn1-0.5.1-py2.py3-none-any.whl (84 kB)
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Building wheels for collected packages: pypika
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Successfully built pypika
Installing collected packages: pypika, monotonic, flatbuffers, wrapt, websocket-client, uvloop, python-dotenv, pyasn1, pulsar-client, overrides, opentelemetry-semantic-conventions, opentelemetry-proto, oauthlib, humanfriendly, httptools, grpcio, googleapis-common-protos, chroma-hnswlib, bcrypt, backoff, watchfiles, rsa, requests-oauthlib, pyasn1-modules, posthog, opentelemetry-exporter-otlp-proto-common, deprecated, coloredlogs, opentelemetry-api, onnxruntime, google-auth, opentelemetry-sdk, kubernetes, opentelemetry-exporter-otlp-proto-grpc, chromadb
Successfully installed backoff-2.2.1 bcrypt-4.1.2 chroma-hnswlib-0.7.3 chromadb-0.4.15 coloredlogs-15.0.1 deprecated-1.2.14 flatbuffers-23.5.26 google-auth-2.28.0 googleapis-common-protos-1.62.0 grpcio-1.60.1 httptools-0.6.1 humanfriendly-10.0 kubernetes-29.0.0 monotonic-1.6 oauthlib-3.2.2 onnxruntime-1.17.0 opentelemetry-api-1.22.0 opentelemetry-exporter-otlp-proto-common-1.22.0 opentelemetry-exporter-otlp-proto-grpc-1.22.0 opentelemetry-proto-1.22.0 opentelemetry-sdk-1.22.0 opentelemetry-semantic-conventions-0.43b0 overrides-7.7.0 posthog-3.4.1 pulsar-client-3.4.0 pyasn1-0.5.1 pyasn1-modules-0.3.0 pypika-0.48.9 python-dotenv-1.0.1 requests-oauthlib-1.3.1 rsa-4.9 uvloop-0.19.0 watchfiles-0.21.0 websocket-client-1.7.0 wrapt-1.16.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install sentence-transformers==2.2.2
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting sentence-transformers==2.2.2
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/20/9c/f07bd70d128fdb107bc02a0c702b9058b4fe147d0ba67b5a0f4c3cf15a54/sentence-transformers-2.2.2.tar.gz (85 kB)
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  Preparing metadata (setup.py) ... done
Requirement already satisfied: transformers<5.0.0,>=4.6.0 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from sentence-transformers==2.2.2) (4.35.2)
Requirement already satisfied: tqdm in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from sentence-transformers==2.2.2) (4.66.2)
Requirement already satisfied: torch>=1.6.0 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from sentence-transformers==2.2.2) (2.0.1)
Requirement already satisfied: torchvision in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from sentence-transformers==2.2.2) (0.15.2)
Requirement already satisfied: numpy in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from sentence-transformers==2.2.2) (1.26.2)
Collecting scikit-learn (from sentence-transformers==2.2.2)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/bc/b9/6a637668d69de04b7f8b917e837aff282950601f09998a5f6c9f23f6642d/scikit_learn-1.4.1.post1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.1 MB)
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Requirement already satisfied: scipy in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from sentence-transformers==2.2.2) (1.12.0)
Collecting nltk (from sentence-transformers==2.2.2)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a6/0a/0d20d2c0f16be91b9fa32a77b76c60f9baf6eba419e5ef5deca17af9c582/nltk-3.8.1-py3-none-any.whl (1.5 MB)
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Requirement already satisfied: sentencepiece in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from sentence-transformers==2.2.2) (0.1.99)
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Requirement already satisfied: filelock in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface-hub>=0.4.0->sentence-transformers==2.2.2) (3.13.1)
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Requirement already satisfied: requests in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface-hub>=0.4.0->sentence-transformers==2.2.2) (2.31.0)
Requirement already satisfied: pyyaml>=5.1 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface-hub>=0.4.0->sentence-transformers==2.2.2) (6.0.1)
Requirement already satisfied: typing-extensions>=3.7.4.3 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface-hub>=0.4.0->sentence-transformers==2.2.2) (4.9.0)
Requirement already satisfied: packaging>=20.9 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface-hub>=0.4.0->sentence-transformers==2.2.2) (23.2)
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Requirement already satisfied: tokenizers<0.19,>=0.14 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from transformers<5.0.0,>=4.6.0->sentence-transformers==2.2.2) (0.15.2)
Requirement already satisfied: safetensors>=0.3.1 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from transformers<5.0.0,>=4.6.0->sentence-transformers==2.2.2) (0.4.2)
Requirement already satisfied: click in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from nltk->sentence-transformers==2.2.2) (8.1.7)
Collecting joblib (from nltk->sentence-transformers==2.2.2)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/10/40/d551139c85db202f1f384ba8bcf96aca2f329440a844f924c8a0040b6d02/joblib-1.3.2-py3-none-any.whl (302 kB)
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Collecting threadpoolctl>=2.0.0 (from scikit-learn->sentence-transformers==2.2.2)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b1/2c/f504e55d98418f2fcf756a56877e6d9a45dd5ed28b3d7c267b300e85ad5b/threadpoolctl-3.3.0-py3-none-any.whl (17 kB)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from torchvision->sentence-transformers==2.2.2) (9.5.0)
Requirement already satisfied: MarkupSafe>=2.0 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from jinja2->torch>=1.6.0->sentence-transformers==2.2.2) (2.1.1)
Requirement already satisfied: charset-normalizer<4,>=2 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->huggingface-hub>=0.4.0->sentence-transformers==2.2.2) (2.0.4)
Requirement already satisfied: idna<4,>=2.5 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->huggingface-hub>=0.4.0->sentence-transformers==2.2.2) (3.4)
Requirement already satisfied: urllib3<3,>=1.21.1 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->huggingface-hub>=0.4.0->sentence-transformers==2.2.2) (1.26.18)
Requirement already satisfied: certifi>=2017.4.17 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->huggingface-hub>=0.4.0->sentence-transformers==2.2.2) (2023.11.17)
Requirement already satisfied: mpmath>=0.19 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from sympy->torch>=1.6.0->sentence-transformers==2.2.2) (1.3.0)
Building wheels for collected packages: sentence-transformers
  Building wheel for sentence-transformers (setup.py) ... done
  Created wheel for sentence-transformers: filename=sentence_transformers-2.2.2-py3-none-any.whl size=125923 sha256=6b3b9561ed651ab64c69d352e7f04f0f724ba58ccce3d3295852c7ab41a8b982
  Stored in directory: /root/.cache/pip/wheels/66/0c/99/a3942d61ac4446e2d615ed4634a1f3ed69a37728e5ac184cf3
Successfully built sentence-transformers
Installing collected packages: threadpoolctl, joblib, scikit-learn, nltk, sentence-transformers
Successfully installed joblib-1.3.2 nltk-3.8.1 scikit-learn-1.4.1.post1 sentence-transformers-2.2.2 threadpoolctl-3.3.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install unstructured==0.10.30
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting unstructured==0.10.30
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/e3/95/28c08bbdd98a9bdbb7f52c07c0e81090ea5f89af5b6cac7c7c6d86ce2a5e/unstructured-0.10.30-py3-none-any.whl (1.7 MB)
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Collecting chardet (from unstructured==0.10.30)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/38/6f/f5fbc992a329ee4e0f288c1fe0e2ad9485ed064cac731ed2fe47dcc38cbf/chardet-5.2.0-py3-none-any.whl (199 kB)
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Collecting filetype (from unstructured==0.10.30)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/18/79/1b8fa1bb3568781e84c9200f951c735f3f157429f44be0495da55894d620/filetype-1.2.0-py2.py3-none-any.whl (19 kB)
Collecting python-magic (from unstructured==0.10.30)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/6c/73/9f872cb81fc5c3bb48f7227872c28975f998f3e7c2b1c16e95e6432bbb90/python_magic-0.4.27-py2.py3-none-any.whl (13 kB)
Collecting lxml (from unstructured==0.10.30)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/25/5c/979167df4ca5a1c308105bb1590412c54bd1b0baa1883212f39cb42d4fcd/lxml-5.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (8.0 MB)
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Requirement already satisfied: nltk in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from unstructured==0.10.30) (3.8.1)
Collecting tabulate (from unstructured==0.10.30)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/40/44/4a5f08c96eb108af5cb50b41f76142f0afa346dfa99d5296fe7202a11854/tabulate-0.9.0-py3-none-any.whl (35 kB)
Requirement already satisfied: requests in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from unstructured==0.10.30) (2.31.0)
Collecting beautifulsoup4 (from unstructured==0.10.30)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b1/fe/e8c672695b37eecc5cbf43e1d0638d88d66ba3a44c4d321c796f4e59167f/beautifulsoup4-4.12.3-py3-none-any.whl (147 kB)
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Collecting emoji (from unstructured==0.10.30)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/98/00/00d56e704d69cee4a92b1d517676579b4af5f2f8bc72946c464a504705b2/emoji-2.10.1-py2.py3-none-any.whl (421 kB)
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Requirement already satisfied: dataclasses-json in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from unstructured==0.10.30) (0.5.14)
Collecting python-iso639 (from unstructured==0.10.30)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/01/62/2fed44ba10fe805345fb0e9c46c7f8dcdaf1bffd642f051fcc3db9bf55d8/python_iso639-2024.2.7-py3-none-any.whl (274 kB)
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Collecting langdetect (from unstructured==0.10.30)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/0e/72/a3add0e4eec4eb9e2569554f7c70f4a3c27712f40e3284d483e88094cc0e/langdetect-1.0.9.tar.gz (981 kB)
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  Preparing metadata (setup.py) ... done
Requirement already satisfied: numpy in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from unstructured==0.10.30) (1.26.2)
Collecting rapidfuzz (from unstructured==0.10.30)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/02/39/3f94121e21b78e0a2699b272a8906ee5eb6f9d70082d90784464b0a4fcc8/rapidfuzz-3.6.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB)
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Requirement already satisfied: backoff in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from unstructured==0.10.30) (2.2.1)
Requirement already satisfied: typing-extensions in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from unstructured==0.10.30) (4.9.0)
Collecting soupsieve>1.2 (from beautifulsoup4->unstructured==0.10.30)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/4c/f3/038b302fdfbe3be7da016777069f26ceefe11a681055ea1f7817546508e3/soupsieve-2.5-py3-none-any.whl (36 kB)
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Requirement already satisfied: typing-inspect<1,>=0.4.0 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from dataclasses-json->unstructured==0.10.30) (0.9.0)
Requirement already satisfied: six in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from langdetect->unstructured==0.10.30) (1.16.0)
Requirement already satisfied: click in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from nltk->unstructured==0.10.30) (8.1.7)
Requirement already satisfied: joblib in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from nltk->unstructured==0.10.30) (1.3.2)
Requirement already satisfied: regex>=2021.8.3 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from nltk->unstructured==0.10.30) (2023.12.25)
Requirement already satisfied: tqdm in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from nltk->unstructured==0.10.30) (4.66.2)
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Requirement already satisfied: idna<4,>=2.5 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->unstructured==0.10.30) (3.4)
Requirement already satisfied: urllib3<3,>=1.21.1 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->unstructured==0.10.30) (1.26.18)
Requirement already satisfied: certifi>=2017.4.17 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->unstructured==0.10.30) (2023.11.17)
Requirement already satisfied: packaging>=17.0 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses-json->unstructured==0.10.30) (23.2)
Requirement already satisfied: mypy-extensions>=0.3.0 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses-json->unstructured==0.10.30) (1.0.0)
Building wheels for collected packages: langdetect
  Building wheel for langdetect (setup.py) ... done
  Created wheel for langdetect: filename=langdetect-1.0.9-py3-none-any.whl size=993224 sha256=76cfd25e44e53b8b0e53f438122aa9c4351991aa70793d77eaeb7f3e659d29a2
  Stored in directory: /root/.cache/pip/wheels/ee/e9/63/fe12d571f8675325c5e131236f64a52b7ed05da124bd628a74
Successfully built langdetect
Installing collected packages: filetype, tabulate, soupsieve, rapidfuzz, python-magic, python-iso639, lxml, langdetect, emoji, chardet, beautifulsoup4, unstructured
Successfully installed beautifulsoup4-4.12.3 chardet-5.2.0 emoji-2.10.1 filetype-1.2.0 langdetect-1.0.9 lxml-5.1.0 python-iso639-2024.2.7 python-magic-0.4.27 rapidfuzz-3.6.1 soupsieve-2.5 tabulate-0.9.0 unstructured-0.10.30
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install markdown==3.3.7
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting markdown==3.3.7
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f3/df/ca72f352e15b6f8ce32b74af029f1189abffb906f7c137501ffe69c98a65/Markdown-3.3.7-py3-none-any.whl (97 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 97.8/97.8 kB 938.8 kB/s eta 0:00:00
Installing collected packages: markdown
Successfully installed markdown-3.3.7
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# pip install -U huggingface_hub
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Requirement already satisfied: huggingface_hub in /root/.conda/envs/InternLM/lib/python3.10/site-packages (0.20.3)
Requirement already satisfied: filelock in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface_hub) (3.13.1)
Requirement already satisfied: fsspec>=2023.5.0 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface_hub) (2024.2.0)
Requirement already satisfied: requests in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface_hub) (2.31.0)
Requirement already satisfied: tqdm>=4.42.1 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface_hub) (4.66.2)
Requirement already satisfied: pyyaml>=5.1 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface_hub) (6.0.1)
Requirement already satisfied: typing-extensions>=3.7.4.3 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface_hub) (4.9.0)
Requirement already satisfied: packaging>=20.9 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from huggingface_hub) (23.2)
Requirement already satisfied: charset-normalizer<4,>=2 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->huggingface_hub) (2.0.4)
Requirement already satisfied: idna<4,>=2.5 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->huggingface_hub) (3.4)
Requirement already satisfied: urllib3<3,>=1.21.1 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->huggingface_hub) (1.26.18)
Requirement already satisfied: certifi>=2017.4.17 in /root/.conda/envs/InternLM/lib/python3.10/site-packages (from requests->huggingface_hub) (2023.11.17)
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(InternLM) root@intern-studio-069640:/opt/jupyterlab# ls
jupyterlab  jupyterlab.tar.gz
(InternLM) root@intern-studio-069640:/opt/jupyterlab# cd /root/data
(InternLM) root@intern-studio-069640:~/data# ls
download_hf.py  model
(InternLM) root@intern-studio-069640:~/data# python download_hf.py 
Consider using `hf_transfer` for faster downloads. This solution comes with some limitations. See https://huggingface.co/docs/huggingface_hub/hf_transfer for more details.
Fetching 14 files:   0%|                                                                                                                                                                              | 0/14 [00:00<?, ?it/s]downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/.gitattributes to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/ef4a55971246c7825073cfa3690eeda3d967f376.incomplete
downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/1_Pooling/config.json to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/d1514c3162bbe87b343f565fadc62e6c06f04f03.incomplete
downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/config_sentence_transformers.json to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/b974b349cb2d419ada11181750a733ff82f291ad.incomplete
downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/README.md to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/065b011b76fe98894d8975acfa28f028085fa35b.incomplete
downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/sentence_bert_config.json to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/5fd10429389515d3e5cccdeda08cae5fea1ae82e.incomplete
downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/modules.json to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/f7640f94e81bb7f4f04daf1668850b38763a13d9.incomplete
downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/config.json to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/c06d5b49495f044e6380e68a60538be17a6bd5d1.incomplete
downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/pytorch_model.bin to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/16cc9e54df6e083272378abec2d75dc34d7a48b5276db3ccc050d18de672ac59.incomplete
.gitattributes: 968B [00:00, 2.24MB/s]                                                                                                                                                                                       
1_Pooling/config.json: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 190/190 [00:00<00:00, 1.02MB/s]
config_sentence_transformers.json: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 122/122 [00:00<00:00, 1.35MB/s]
README.md: 4.12kB [00:00, 14.5MB/s]                                                                                                                                                                                          
sentence_bert_config.json: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 53.0/53.0 [00:00<00:00, 387kB/s]
modules.json: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 229/229 [00:00<00:00, 2.64MB/s]
config.json: 645B [00:00, 6.97MB/s]                                                                                                                                                                                          
Fetching 14 files:  29%|███████████████████████████████████████████████▍                                                                                                                      | 4/14 [00:01<00:02,  4.62it/s]downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/sentencepiece.bpe.model to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865.incomplete
downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/special_tokens_map.json to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/2ea7ad0e45a9d1d1591782ba7e29a703d0758831.incomplete
downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/tokenizer.json to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/2c3387be76557bd40970cec13153b3bbf80407865484b209e655e5e4729076b8.incomplete
downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/tf_model.h5 to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/22150b6ba00e477c7f816f1988d028fff924e2b52e14540889690c72c5add40e.incomplete
downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/tokenizer_config.json to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/0da3507018a1a1c625ff93179ff60bdb9202cc6c.incomplete
downloading https://hf-mirror.com/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/43dcf585e1eb6d4ece18c2e0c29474d9c5146b70/unigram.json to /root/.cache/huggingface/hub/models--sentence-transformers--paraphrase-multilingual-MiniLM-L12-v2/blobs/71b44701d7efd054205115acfa6ef126c5d2f84bd3affe0c59e48163674d19a6.incomplete
special_tokens_map.json: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 239/239 [00:00<00:00, 2.12MB/s]
tokenizer_config.json: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 480/480 [00:00<00:00, 4.65MB/s]
unigram.json: 14.8MB [00:02, 5.12MB/s]                                                                                                                                                             | 0.00/480 [00:00<?, ?B/s]
sentencepiece.bpe.model: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5.07M/5.07M [00:02<00:00, 2.03MB/s]
tokenizer.json: 9.08MB [00:02, 3.37MB/s]                                                                                                                                                          | 0.00/471M [00:00<?, ?B/s]
pytorch_model.bin: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 471M/471M [01:02<00:00, 7.52MB/s]
Fetching 14 files:  50%|███████████████████████████████████████████████████████████████████████████████████                                                                                   | 7/14 [01:05<01:21, 11.61s/it]
tf_model.h5:  49%|██████████████████████████████████████████████████████████████████████████████████▎                                                                                     | 231M/471M [00:57<01:50, 2.17MB/s]
tf_model.h5:  71%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                                | 336M/471M [09:07<08:57, 252kB/s]

pytorch_model.bin: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 471M/471M [01:02<00:00, 7.67MB/s]



c                                                                                                                                                                                                                           

tf_model.h5:  73%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                            | 346M/471M [10:12<10:19, 202kB/s]





tf_model.h5: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 471M/471M [16:10<00:00, 485kB/s]
Fetching 14 files: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 14/14 [16:12<00:00, 69.49s/it]
/root/data/model/sentence-transformer██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 471M/471M [16:10<00:00, 271kB/s]
(InternLM) root@intern-studio-069640:~/data# 

 

1.4 下载 NLTK 相关资源

由于需要用到nltk工具,可以先从国内镜像站点gitee上clone到本地,然后从本地目录安装相关nltk的工具。

cd /root
git clone https://gitee.com/yzy0612/nltk_data.git  --branch gh-pages
cd nltk_data
mv packages/*  ./
cd tokenizers
unzip punkt.zip
cd ../taggers
unzip averaged_perceptron_tagger.zip

屏幕输出:

(InternLM) root@intern-studio-069640:~# git clone https://gitee.com/yzy0612/nltk_data.git  --branch gh-pages
Cloning into 'nltk_data'...
remote: Enumerating objects: 1692, done.
remote: Total 1692 (delta 0), reused 0 (delta 0), pack-reused 1692
Receiving objects: 100% (1692/1692), 952.80 MiB | 23.29 MiB/s, done.
Resolving deltas: 100% (909/909), done.
Updating files: 100% (244/244), done.
(InternLM) root@intern-studio-069640:~# cd nltk_data
(InternLM) root@intern-studio-069640:~/nltk_data# mv packages/*  ./
(InternLM) root@intern-studio-069640:~/nltk_data# cd tokenizers
(InternLM) root@intern-studio-069640:~/nltk_data/tokenizers# unzip punkt.zip
Archive:  punkt.zip
   creating: punkt/
  inflating: punkt/greek.pickle      
  inflating: punkt/estonian.pickle   
  inflating: punkt/turkish.pickle    
  inflating: punkt/polish.pickle     
   creating: punkt/PY3/
  inflating: punkt/PY3/greek.pickle  
  inflating: punkt/PY3/estonian.pickle  
  inflating: punkt/PY3/turkish.pickle  
  inflating: punkt/PY3/polish.pickle  
  inflating: punkt/PY3/russian.pickle  
  inflating: punkt/PY3/czech.pickle  
  inflating: punkt/PY3/portuguese.pickle  
  inflating: punkt/PY3/README        
  inflating: punkt/PY3/dutch.pickle  
  inflating: punkt/PY3/norwegian.pickle  
  inflating: punkt/PY3/slovene.pickle  
  inflating: punkt/PY3/english.pickle  
  inflating: punkt/PY3/danish.pickle  
  inflating: punkt/PY3/finnish.pickle  
  inflating: punkt/PY3/swedish.pickle  
  inflating: punkt/PY3/spanish.pickle  
  inflating: punkt/PY3/german.pickle  
  inflating: punkt/PY3/italian.pickle  
  inflating: punkt/PY3/french.pickle  
  inflating: punkt/russian.pickle    
  inflating: punkt/czech.pickle      
  inflating: punkt/portuguese.pickle  
  inflating: punkt/README            
  inflating: punkt/dutch.pickle      
  inflating: punkt/norwegian.pickle  
  inflating: punkt/slovene.pickle    
  inflating: punkt/english.pickle    
  inflating: punkt/danish.pickle     
  inflating: punkt/finnish.pickle    
  inflating: punkt/swedish.pickle    
  inflating: punkt/spanish.pickle    
  inflating: punkt/german.pickle     
  inflating: punkt/italian.pickle    
  inflating: punkt/french.pickle     
  inflating: punkt/.DS_Store         
  inflating: punkt/PY3/malayalam.pickle  
  inflating: punkt/malayalam.pickle  
(InternLM) root@intern-studio-069640:~/nltk_data/tokenizers# cd ../taggers
(InternLM) root@intern-studio-069640:~/nltk_data/taggers# unzip averaged_perceptron_tagger.zip
Archive:  averaged_perceptron_tagger.zip
   creating: averaged_perceptron_tagger/
  inflating: averaged_perceptron_tagger/averaged_perceptron_tagger.pickle  
(InternLM) root@intern-studio-069640:~/nltk_data/taggers# 
View Code

2 知识库搭建

选择由上海人工智能实验室开源的一系列大模型工具开源仓库作为语料库来源,首先我们需要将上述远程开源仓库 Clone 到本地,可以使用以下命令:

# 进入到数据库盘
cd /root/data
# clone 上述开源仓库
git clone https://gitee.com/open-compass/opencompass.git
git clone https://gitee.com/InternLM/lmdeploy.git
git clone https://gitee.com/InternLM/xtuner.git
git clone https://gitee.com/InternLM/InternLM-XComposer.git
git clone https://gitee.com/InternLM/lagent.git
git clone https://gitee.com/InternLM/InternLM.git

屏幕输出:

(InternLM) root@intern-studio-069640:~/nltk_data/taggers# cd /root/data
(InternLM) root@intern-studio-069640:~/data# # clone 上述开源仓库
(InternLM) root@intern-studio-069640:~/data# git clone https://gitee.com/open-compass/opencompass.git
Cloning into 'opencompass'...
remote: Enumerating objects: 7129, done.
remote: Counting objects: 100% (2550/2550), done.
remote: Compressing objects: 100% (958/958), done.
remote: Total 7129 (delta 1641), reused 2434 (delta 1569), pack-reused 4579
Receiving objects: 100% (7129/7129), 2.39 MiB | 716.00 KiB/s, done.
Resolving deltas: 100% (4403/4403), done.
Updating files: 100% (1594/1594), done.
(InternLM) root@intern-studio-069640:~/data# git clone https://gitee.com/InternLM/lmdeploy.git
Cloning into 'lmdeploy'...
remote: Enumerating objects: 4485, done.
remote: Total 4485 (delta 0), reused 0 (delta 0), pack-reused 4485
Receiving objects: 100% (4485/4485), 2.23 MiB | 596.00 KiB/s, done.
Resolving deltas: 100% (2914/2914), done.
Updating files: 100% (455/455), done.
(InternLM) root@intern-studio-069640:~/data# git clone https://gitee.com/InternLM/xtuner.git
Cloning into 'xtuner'...
remote: Enumerating objects: 6342, done.
remote: Counting objects: 100% (3757/3757), done.
remote: Compressing objects: 100% (747/747), done.
remote: Total 6342 (delta 3080), reused 3614 (delta 2964), pack-reused 2585
Receiving objects: 100% (6342/6342), 1.14 MiB | 1.18 MiB/s, done.
Resolving deltas: 100% (4901/4901), done.
Updating files: 100% (552/552), done.
(InternLM) root@intern-studio-069640:~/data# git clone https://gitee.com/InternLM/InternLM-XComposer.git
Cloning into 'InternLM-XComposer'...
remote: Enumerating objects: 680, done.
remote: Counting objects: 100% (680/680), done.
remote: Compressing objects: 100% (273/273), done.
remote: Total 680 (delta 361), reused 680 (delta 361), pack-reused 0
Receiving objects: 100% (680/680), 10.74 MiB | 856.00 KiB/s, done.
Resolving deltas: 100% (361/361), done.
(InternLM) root@intern-studio-069640:~/data# git clone https://gitee.com/InternLM/lagent.git
Cloning into 'lagent'...
remote: Enumerating objects: 414, done.
remote: Total 414 (delta 0), reused 0 (delta 0), pack-reused 414
Receiving objects: 100% (414/414), 214.97 KiB | 456.00 KiB/s, done.
Resolving deltas: 100% (197/197), done.
(InternLM) root@intern-studio-069640:~/data# git clone https://gitee.com/InternLM/InternLM.git
Cloning into 'InternLM'...
remote: Enumerating objects: 2604, done.
remote: Counting objects: 100% (592/592), done.
remote: Compressing objects: 100% (264/264), done.
remote: Total 2604 (delta 324), reused 581 (delta 318), pack-reused 2012
Receiving objects: 100% (2604/2604), 4.87 MiB | 1.16 MiB/s, done.
Resolving deltas: 100% (1608/1608), done.
(InternLM) root@intern-studio-069640:~/data# 
View Code

在/root/data目录下建立一个demo的文件夹,并在文件夹中创建create_db.py的python脚本,其代码如下:

# 首先导入所需第三方库
from langchain.document_loaders import UnstructuredFileLoader
from langchain.document_loaders import UnstructuredMarkdownLoader
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.vectorstores import Chroma
from langchain.embeddings.huggingface import HuggingFaceEmbeddings
from tqdm import tqdm
import os

# 获取文件路径函数
def get_files(dir_path):
    # args:dir_path,目标文件夹路径
    file_list = []
    for filepath, dirnames, filenames in os.walk(dir_path):
        # os.walk 函数将递归遍历指定文件夹
        for filename in filenames:
            # 通过后缀名判断文件类型是否满足要求
            if filename.endswith(".md"):
                # 如果满足要求,将其绝对路径加入到结果列表
                file_list.append(os.path.join(filepath, filename))
            elif filename.endswith(".txt"):
                file_list.append(os.path.join(filepath, filename))
    return file_list

# 加载文件函数
def get_text(dir_path):
    # args:dir_path,目标文件夹路径
    # 首先调用上文定义的函数得到目标文件路径列表
    file_lst = get_files(dir_path)
    # docs 存放加载之后的纯文本对象
    docs = []
    # 遍历所有目标文件
    for one_file in tqdm(file_lst):
        file_type = one_file.split('.')[-1]
        if file_type == 'md':
            loader = UnstructuredMarkdownLoader(one_file)
        elif file_type == 'txt':
            loader = UnstructuredFileLoader(one_file)
        else:
            # 如果是不符合条件的文件,直接跳过
            continue
        docs.extend(loader.load())
    return docs

# 目标文件夹
tar_dir = [
    "/root/data/InternLM",
    "/root/data/InternLM-XComposer",
    "/root/data/lagent",
    "/root/data/lmdeploy",
    "/root/data/opencompass",
    "/root/data/xtuner"
]

# 加载目标文件
docs = []
for dir_path in tar_dir:
    docs.extend(get_text(dir_path))

# 对文本进行分块
text_splitter = RecursiveCharacterTextSplitter(
    chunk_size=500, chunk_overlap=150)
split_docs = text_splitter.split_documents(docs)

# 加载开源词向量模型
embeddings = HuggingFaceEmbeddings(model_name="/root/data/model/sentence-transformer")

# 构建向量数据库
# 定义持久化路径
persist_directory = 'data_base/vector_db/chroma'
# 加载数据库
vectordb = Chroma.from_documents(
    documents=split_docs,
    embedding=embeddings,
    persist_directory=persist_directory  # 允许我们将persist_directory目录保存到磁盘上
)
# 将加载的向量数据库持久化到磁盘上
vectordb.persist()

切换到/root/data/demo目录并运行上述python脚本:

屏幕输出:

(InternLM) root@intern-studio-069640:~/data# cd demo
(InternLM) root@intern-studio-069640:~/data/demo# ls
create_db.py
(InternLM) root@intern-studio-069640:~/data/demo# python create_db.py 
  0%|                                                                                                                                                                                                 | 0/25 [00:00<?, ?it/s]/root/.conda/envs/InternLM/lib/python3.10/site-packages/unstructured/documents/html.py:498: FutureWarning: The behavior of this method will change in future versions. Use specific 'len(elem)' or 'elem is not None' test instead.
  rows = body.findall("tr") if body else []
 40%|█████████████████████████████████████████████████████████████████████████▌                                                                                                              | 10/25 [00:28<00:24,  1.61s/it]/root/.conda/envs/InternLM/lib/python3.10/site-packages/unstructured/documents/html.py:498: FutureWarning: The behavior of this method will change in future versions. Use specific 'len(elem)' or 'elem is not None' test instead.
  rows = body.findall("tr") if body else []
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 25/25 [00:29<00:00,  1.19s/it]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:00<00:00, 22.35it/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 18/18 [00:00<00:00, 38.77it/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 72/72 [00:02<00:00, 25.19it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 130/130 [00:06<00:00, 19.27it/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 38/38 [00:02<00:00, 18.74it/s]
(InternLM) root@intern-studio-069640:~/data/demo# 
View Code

建成生成的向量数据库文件:

 

3 InternLM 接入 LangChain

自定义一个 InternLM LLM 子类,从而实现将 InternLM 接入到 LangChain 框架中。在demo下新建一个InternLM_LLM的python脚本文件:

from langchain.llms.base import LLM
from typing import Any, List, Optional
from langchain.callbacks.manager import CallbackManagerForLLMRun
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

class InternLM_LLM(LLM):
    # 基于本地 InternLM 自定义 LLM 类
    tokenizer : AutoTokenizer = None
    model: AutoModelForCausalLM = None

    def __init__(self, model_path :str):
        # model_path: InternLM 模型路径
        # 从本地初始化模型
        super().__init__()
        print("正在从本地加载模型...")
        self.tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
        self.model = AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True).to(torch.bfloat16).cuda()
        self.model = self.model.eval()
        print("完成本地模型的加载")

    def _call(self, prompt : str, stop: Optional[List[str]] = None,
                run_manager: Optional[CallbackManagerForLLMRun] = None,
                **kwargs: Any):
        # 重写调用函数
        system_prompt = """You are an AI assistant whose name is InternLM (书生·浦语).
        - InternLM (书生·浦语) is a conversational language model that is developed by Shanghai AI Laboratory (上海人工智能实验室). It is designed to be helpful, honest, and harmless.
        - InternLM (书生·浦语) can understand and communicate fluently in the language chosen by the user such as English and 中文.
        """
        
        messages = [(system_prompt, '')]
        response, history = self.model.chat(self.tokenizer, prompt , history=messages)
        return response
        
    @property
    def _llm_type(self) -> str:
        return "InternLM"

4 构建检索问答链

编写脚本代码run_gradio.py,功能包括加载向量数据库,实例化自定义 LLM 与 Prompt Template,以及构建检索问答链:

from langchain.vectorstores import Chroma
from langchain.embeddings.huggingface import HuggingFaceEmbeddings
import os
from LLM import InternLM_LLM
from langchain.prompts import PromptTemplate
from langchain.chains import RetrievalQA

def load_chain():
    # 加载问答链
    # 定义 Embeddings
    embeddings = HuggingFaceEmbeddings(model_name="/root/data/model/sentence-transformer")

    # 向量数据库持久化路径
    persist_directory = 'data_base/vector_db/chroma'

    # 加载数据库
    vectordb = Chroma(
        persist_directory=persist_directory,  # 允许我们将persist_directory目录保存到磁盘上
        embedding_function=embeddings
    )

    # 加载自定义 LLM
    llm = InternLM_LLM(model_path = "/root/data/model/Shanghai_AI_Laboratory/internlm-chat-7b")

    # 定义一个 Prompt Template
    template = """使用以下上下文来回答最后的问题。如果你不知道答案,就说你不知道,不要试图编造答
    案。尽量使答案简明扼要。总是在回答的最后说“谢谢你的提问!”。
    {context}
    问题: {question}
    有用的回答:"""

    QA_CHAIN_PROMPT = PromptTemplate(input_variables=["context","question"],template=template)

    # 运行 chain
    qa_chain = RetrievalQA.from_chain_type(llm,retriever=vectordb.as_retriever(),return_source_documents=True,chain_type_kwargs={"prompt":QA_CHAIN_PROMPT})
    
    return qa_chain

class Model_center():
    """
    存储检索问答链的对象 
    """
    def __init__(self):
        # 构造函数,加载检索问答链
        self.chain = load_chain()

    def qa_chain_self_answer(self, question: str, chat_history: list = []):
        """
        调用问答链进行回答
        """
        if question == None or len(question) < 1:
            return "", chat_history
        try:
            chat_history.append(
                (question, self.chain({"query": question})["result"]))
            # 将问答结果直接附加到问答历史中,Gradio 会将其展示出来
            return "", chat_history
        except Exception as e:
            return e, chat_history
import gradio as gr

# 实例化核心功能对象
model_center = Model_center()
# 创建一个 Web 界面
block = gr.Blocks()
with block as demo:
    with gr.Row(equal_height=True):   
        with gr.Column(scale=15):
            # 展示的页面标题
            gr.Markdown("""<h1><center>InternLM</center></h1>
                <center>书生浦语</center>
                """)

    with gr.Row():
        with gr.Column(scale=4):
            # 创建一个聊天机器人对象
            chatbot = gr.Chatbot(height=450, show_copy_button=True)
            # 创建一个文本框组件,用于输入 prompt。
            msg = gr.Textbox(label="Prompt/问题")

            with gr.Row():
                # 创建提交按钮。
                db_wo_his_btn = gr.Button("Chat")
            with gr.Row():
                # 创建一个清除按钮,用于清除聊天机器人组件的内容。
                clear = gr.ClearButton(
                    components=[chatbot], value="Clear console")
                
        # 设置按钮的点击事件。当点击时,调用上面定义的 qa_chain_self_answer 函数,并传入用户的消息和聊天历史记录,然后更新文本框和聊天机器人组件。
        db_wo_his_btn.click(model_center.qa_chain_self_answer, inputs=[
                            msg, chatbot], outputs=[msg, chatbot])

    gr.Markdown("""提醒:<br>
    1. 初始化数据库时间可能较长,请耐心等待。
    2. 使用中如果出现异常,将会在文本输入框进行展示,请不要惊慌。 <br>
    """)
gr.close_all()
# 直接启动
demo.launch()

5 运行run_gradio脚本

切换到/root/data/demo目录,运行命令:

python run_gradio.py

屏幕输出:

(InternLM) root@intern-studio-069640:~/data/demo# pwd
/root/data/demo
(InternLM) root@intern-studio-069640:~/data/demo# ls
LLM.py  create_db.py  data_base  run_gradio.py
(InternLM) root@intern-studio-069640:~/data/demo# python run_gradio.py

正在从本地加载模型...
Loading checkpoint shards: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 8/8 [00:33<00:00,  4.16s/it]
完成本地模型的加载
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.

本地端口映射:在本地的MacBook上执行:

ssh -CNg -L 7860:127.0.0.1:7860 root@ssh.intern-ai.org.cn -p 36970 -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null

在本地浏览器上输入http://127.0.0.1:7860即可进入到知识库试用的界面:

 

 

 

进阶作业:

选择一个垂直领域,收集该领域的专业资料构建专业知识库,并搭建专业问答助手,并在 OpenXLab 上成功部署(截图,并提供应用地址)

posted on 2024-02-17 18:37  littlesuccess  阅读(175)  评论(0)    收藏  举报

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