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"""
curl -X GET http://localhost:7680/api/models
curl -X POST https://sanbo1200-degpt.hf.space/hf/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "Qwen2.5-72B",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "你是什么模型,你有什么特点?"}
]
}'
"""
import requests
# 设置 API 密钥和请求的 URL
url = 'https://sanbo1200-degpt.hf.space/hf/v1/chat/completions'
# 构建请求头
headers = {
# 'Authorization': f'Bearer {api_key}',
'Content-Type': 'application/json',
}
# 构建请求体
data = {
'model': 'gpt-4o', # 或者使用其他可用的模型
'messages': [
{'role': 'user', 'content': '你好,你是谁?'},
],
'max_tokens': 100, # 设置生成的最大 token 数量
}
# 发送 POST 请求
response = requests.post(url, headers=headers, json=data)
# 检查响应状态
if response.status_code == 200:
# print('请求成功',response.text)
# 解析 JSON 响应
response_data = response.json()
# 获取生成的文本
generated_text = response_data['choices'][0]['message']['content']
print('ChatGPT 的回复:', generated_text)
else:
print('请求失败,状态码:', response.status_code)
print('错误信息:', response.text) |