调用deepseek接口
import requests
import json
# 设置API端点和你的API密钥
api_url = "https://api.deepseek.com/v1/chat/completions" # 假设这是DeepSeek的API端点
api_key = "sk-2515a5f832bd4183b711e39ee1a04723" # 替换为你的DeepSeek API密钥
# 设置请求头
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {api_key}"
}
# 设置请求体
data = {
"model": "deepseek-chat", # 假设这是DeepSeek的模型名称
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello, how are you?"}
]
}
# 发送POST请求
response = requests.post(api_url, headers=headers, data=json.dumps(data))
# 检查响应状态码
if response.status_code == 200:
# 解析响应内容
result = response.json()
print("API Response:", result)
else:
print("Failed to call API. Status code:", response.status_code)
print("Response:", response.text)
import json
# 设置API端点和你的API密钥
api_url = "https://api.deepseek.com/v1/chat/completions" # 假设这是DeepSeek的API端点
api_key = "sk-2515a5f832bd4183b711e39ee1a04723" # 替换为你的DeepSeek API密钥
# 设置请求头
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {api_key}"
}
# 设置请求体
data = {
"model": "deepseek-chat", # 假设这是DeepSeek的模型名称
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello, how are you?"}
]
}
# 发送POST请求
response = requests.post(api_url, headers=headers, data=json.dumps(data))
# 检查响应状态码
if response.status_code == 200:
# 解析响应内容
result = response.json()
print("API Response:", result)
else:
print("Failed to call API. Status code:", response.status_code)
print("Response:", response.text)