Create app.py

app.py

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+import gradio as gr
+import openai
+
+# 设置 OpenAI API 密钥
+openai.api_key = "your-openai-api-key-here"
+
+# 定义 AI 响应函数
+def ai_response(message, chat_history):
+    # 组合历史聊天记录和用户输入的信息
+    conversation = [{"role": "system", "content": "You are a helpful assistant."}]
+    for msg in chat_history:
+        conversation.append({"role": msg['role'], "content": msg['message']})
+    conversation.append({"role": "user", "content": message})
+    
+    # 请求 OpenAI 的 GPT-3.5 或 GPT-4 模型生成响应
+    response = openai.ChatCompletion.create(
+        model="gpt-4",  # 可以根据需要选择不同的模型
+        messages=conversation
+    )
+    
+    # 获取模型的回答
+    assistant_message = response['choices'][0]['message']['content']
+    
+    # 返回新的聊天记录
+    chat_history.append({"role": "user", "message": message})
+    chat_history.append({"role": "assistant", "message": assistant_message})
+    
+    return assistant_message, chat_history
+
+# 创建 Gradio ChatInterface
+chat_interface = gr.ChatInterface(fn=ai_response, live=True)
+
+# 启动 Gradio 应用
+chat_interface.launch()