145 lines
4.4 KiB
Python
145 lines
4.4 KiB
Python
import os
|
||
import json
|
||
import gradio as gr
|
||
import requests
|
||
from dotenv import load_dotenv
|
||
|
||
# 加载环境变量
|
||
load_dotenv()
|
||
API_KEY = os.getenv("API_KEY")
|
||
API_URL = "https://api.deepseek.com/v1/chat/completions"
|
||
|
||
def build_messages(query: str, history: list):
|
||
"""构造对话历史"""
|
||
messages = [{"role": "system", "content": "你是一个有帮助的助手"}]
|
||
for user_msg, bot_msg in history:
|
||
messages.extend([
|
||
{"role": "user", "content": user_msg},
|
||
{"role": "assistant", "content": bot_msg}
|
||
])
|
||
messages.append({"role": "user", "content": query})
|
||
return messages
|
||
|
||
def stream_response(query: str, history: list):
|
||
"""流式响应生成器"""
|
||
headers = {
|
||
"Authorization": f"Bearer {API_KEY}",
|
||
"Content-Type": "application/json"
|
||
}
|
||
|
||
try:
|
||
response = requests.post(
|
||
API_URL,
|
||
headers=headers,
|
||
json={
|
||
"model": "deepseek-chat",
|
||
"messages": build_messages(query, history),
|
||
"temperature": 0.7,
|
||
"stream": True
|
||
},
|
||
stream=True,
|
||
timeout=60
|
||
)
|
||
|
||
# 先检查响应状态再处理内容
|
||
if response.status_code != 200:
|
||
error_msg = f"API 返回错误状态码: {response.status_code} - {response.text}"
|
||
print(error_msg)
|
||
yield error_msg
|
||
return
|
||
|
||
partial_message = ""
|
||
for chunk in response.iter_lines():
|
||
# 过滤空行和 keep-alive 消息
|
||
if not chunk or b'[DONE]' in chunk:
|
||
continue
|
||
|
||
try:
|
||
# 调试输出原始数据
|
||
print("原始 chunk:", chunk)
|
||
|
||
decoded = chunk.decode('utf-8').strip()
|
||
# 处理可能的多个 data: 前缀
|
||
if decoded.startswith('data:'):
|
||
json_str = decoded[5:].strip()
|
||
else:
|
||
json_str = decoded
|
||
|
||
# 验证 JSON 有效性
|
||
if not json_str.startswith('{'):
|
||
continue
|
||
|
||
data = json.loads(json_str)
|
||
|
||
if content := data['choices'][0]['delta'].get('content'):
|
||
partial_message += content
|
||
yield partial_message
|
||
|
||
except json.JSONDecodeError as e:
|
||
print(f"JSON 解析失败: {e} | 原始数据: {decoded}")
|
||
continue
|
||
except Exception as e:
|
||
print(f"处理 chunk 时发生错误: {str(e)}")
|
||
continue
|
||
|
||
except Exception as e:
|
||
yield f"⚠️ 请求失败：{str(e)}"
|
||
|
||
def stream_response_back(query: str, history: list):
|
||
"""流式响应生成器"""
|
||
headers = {
|
||
"Authorization": f"Bearer {API_KEY}",
|
||
"Content-Type": "application/json"
|
||
}
|
||
|
||
print(query)
|
||
print(history)
|
||
|
||
try:
|
||
response = requests.post(
|
||
API_URL,
|
||
headers=headers,
|
||
json={
|
||
"model": "deepseek-chat",
|
||
"messages": build_messages(query, history),
|
||
"temperature": 0.7,
|
||
"stream": True
|
||
},
|
||
stream=True,
|
||
timeout=60
|
||
)
|
||
response.raise_for_status()
|
||
|
||
print(response)
|
||
|
||
partial_message = ""
|
||
for chunk in response.iter_lines():
|
||
if chunk:
|
||
# 处理流式数据格式
|
||
decoded = chunk.decode('utf-8').strip()
|
||
if decoded.startswith('data:'):
|
||
data = json.loads(decoded[5:])
|
||
if content := data['choices'][0]['delta'].get('content'):
|
||
partial_message += content
|
||
yield partial_message
|
||
|
||
except Exception as e:
|
||
yield f"⚠️ 请求失败：{str(e)}"
|
||
|
||
# 创建带打字机效果的聊天界面
|
||
demo = gr.ChatInterface(
|
||
fn=stream_response,
|
||
title="DeepSeek 智能助手",
|
||
description="输入消息开始对话（支持流式打字效果）",
|
||
theme="soft",
|
||
examples=["你好！", "如何学习AI？", "写一首关于春天的诗"],
|
||
cache_examples=False,
|
||
# retry_btn=None,
|
||
# undo_btn=None,
|
||
# clear_btn="清空历史",
|
||
stop_btn="停止生成",
|
||
)
|
||
|
||
if __name__ == "__main__":
|
||
demo.launch(server_name="0.0.0.0", server_port=7860)
|