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Update app.py
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app.py
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import
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import
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from telegram import Update
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from telegram.ext import ApplicationBuilder, MessageHandler, filters, ContextTypes
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model = OpenAIServerModel(
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model_id="qwen2.5-3b-instruct",
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api_base="https://jacky2305-llm-api.hf.space/v1",
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api_key="sk-any",
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)
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additional_authorized_imports=["requests", "json", "re"],
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)
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except Exception as e:
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await update.message.reply_text(f"❌ 出错了:{e}")
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if __name__ == "__main__":
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token = os.environ["TELEGRAM_TOKEN"]
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app = ApplicationBuilder().token(token).build()
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app.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, handle_message))
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print("Bot 启动中...")
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app.run_polling()
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import gradio as gr
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from openai import OpenAI
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import json
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client = OpenAI(
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base_url="https://jacky2305-llm-api.hf.space/v1",
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api_key="sk-any"
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)
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tools = [
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{
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"type": "function",
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"function": {
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"name": "get_weather",
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"description": "获取某个城市的天气",
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"parameters": {
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"type": "object",
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"properties": {
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"city": {"type": "string", "description": "城市名称"}
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},
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"required": ["city"]
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}
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}
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},
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{
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"type": "function",
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"function": {
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"name": "calculate",
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"description": "执行数学计算",
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"parameters": {
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"type": "object",
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"properties": {
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"expression": {"type": "string", "description": "数学表达式"}
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},
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"required": ["expression"]
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}
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}
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}
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]
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def run_tool(name, args):
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if name == "get_weather":
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return f"{args['city']}今天晴天,28°C"
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if name == "calculate":
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try:
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return str(eval(args["expression"]))
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except:
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return "计算出错"
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def test_tool_calling(user_msg):
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log = []
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messages = [{"role": "user", "content": user_msg}]
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resp = client.chat.completions.create(
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model="qwen2.5-3b-instruct",
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messages=messages,
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tools=tools,
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tool_choice="auto",
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max_tokens=300
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)
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msg = resp.choices[0].message
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finish_reason = resp.choices[0].finish_reason
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log.append(f"finish_reason: {finish_reason}")
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if finish_reason != "tool_calls" or not msg.tool_calls:
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log.append(f"⚠️ 模型没有调用工具,直接回答:\n{msg.content}")
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return "\n".join(log)
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for tool_call in msg.tool_calls:
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name = tool_call.function.name
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args = json.loads(tool_call.function.arguments)
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log.append(f"✅ 调用工具:{name}({args})")
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result = run_tool(name, args)
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log.append(f"工具返回:{result}")
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messages.append(msg)
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messages.append({
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"role": "tool",
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"tool_call_id": tool_call.id,
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"content": result
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})
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resp2 = client.chat.completions.create(
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model="qwen2.5-3b-instruct",
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messages=messages,
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max_tokens=300
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)
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log.append(f"\n最终回答:\n{resp2.choices[0].message.content}")
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return "\n".join(log)
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with gr.Blocks() as demo:
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gr.Markdown("## Qwen 3B 工具调用测试")
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with gr.Row():
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inp = gr.Textbox(label="输入问题", placeholder="试试:吉隆坡天气怎么样?")
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btn = gr.Button("测试")
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out = gr.Textbox(label="结果日志", lines=15)
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gr.Examples(
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examples=[
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["吉隆坡今天天气怎么样?"],
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["帮我算一下 1234 * 5678"],
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["你好"], # 不需要工具
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],
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inputs=inp
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)
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btn.click(test_tool_calling, inputs=inp, outputs=out)
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demo.launch()
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