app.py

# -*- coding: utf-8 -*-
import gradio as gr
import os
import re
import json
import subprocess
from openai import OpenAI
from retry import retry
from random import choices
from datetime import datetime

os.environ["OPENAI_BASE_URL"] = "http://117.50.185.39:50080/v1"
os.environ["OPENAI_API_KEY"] = "0"
client = OpenAI()
execution_desc = ["运行以上代码，输出会是： ",
                  "现在将上面的代码复制到Python环境中运行，运行结果为：",
                  "执行上述Python代码，运行结果将是：",
                  "上面的Python代码执行结果为：",
                  "运行上述代码，我们可以得到题目要求的答案。输出结果将是："]

@retry(exceptions=Exception, tries=3, delay=2)
def question_answer(query):
    g = open("collect.json", "a", encoding="utf-8")
    messages = [{"role": "system", "content": "你是一个数学解题大师，请解决以下数学题，务必详细说明解题思路，并在必要时提供Python代码来支持你的推理。答案中的数值应使用\\boxed{}包围，最后的答案以“因此”开头并直接给出结论，不要添加任何多余的内容。"}]
    messages.append({"role": "user", "content": f"题目：{query}"})
    result = client.chat.completions.create(messages=messages, 
                                            model="gpt-3.5-turbo",
                                            temperature=0.2,
                                            stream=True)
    reply_message = ""
    for chunk in result:
        if hasattr(chunk, "choices") and chunk.choices[0].delta.content:
            reply_message += chunk.choices[0].delta.content
    
    # find python code and execute the code
    if '```python' in reply_message:
        reply_message = '```'.join(reply_message.split('```')[:-1]).replace('```python', '\n```python') + '```'
        messages.append({"role": "assistant", "content": reply_message})
        python_code_string = re.findall(r'```python\n(.*?)\n```', reply_message, re.S)[0]
        python_file_path = 'temp.py'
        with open(python_file_path, 'w') as f:
            f.write(python_code_string)
        python_code_run = subprocess.run(['python3', python_file_path], stdout=subprocess.PIPE, timeout=10)
        if python_code_run.returncode:
            print("生成的Python代码无法运行！")
            raise RuntimeError("生成的Python代码无法运行！")
        python_code_execution = python_code_run.stdout.decode('utf-8')
        os.remove(python_file_path)
        if "``````" in python_code_execution:
            raise ValueError("执行Python代码结果为空!")
        code_reply_str = choices(execution_desc, k=1)[0]
        code_reply = f"\n{code_reply_str}```{python_code_execution.strip()}```\n"
        reply_message += code_reply
        # yield reply_message
        messages.append({"role": "user", "content": code_reply})
        result = client.chat.completions.create(messages=messages, 
                                            model="gpt-3.5-turbo",
                                            temperature=0.2,
                                            stream=True)
        
        for chunk in result:
            if hasattr(chunk, "choices") and chunk.choices[0].delta.content:
                reply_message += chunk.choices[0].delta.content
                # yield reply_message
    print(reply_message)
    g.write(json.dumps({"query": query, 
                        "answer": reply_message, 
                        "time": datetime.now().strftime('%Y-%m-%d %H:%M:%S %f')
                        }, ensure_ascii=False)+"\n")
    g.close()
    return reply_message


demo = gr.Interface(
    fn=question_answer,
    inputs=gr.Textbox(lines=3, placeholder="题目", label="数学题目"),
    outputs=gr.Markdown(),
)

demo.launch()