Update app.py

app.py

@@ -1,110 +1,18 @@
-import gradio as gr
 import os
 from openai import OpenAI
 
-# 读取环境变量
-DASHSCOPE_API_KEY = os.getenv("DASHSCOPE_API_KEY")  # 从环境变量读取 API Key
-DASHSCOPE_API_URL = "https://dashscope.aliyuncs.com/compatible-mode/v1"
+# 设置 API 密钥和 API 地址
+api_key = os.getenv("DASHSCOPE_API_KEY")  # 确保环境变量已设置
+base_url = "https://dashscope.aliyuncs.com/compatible-mode/v1"
 
-# 设置 DashScope API 客户端
-client = OpenAI(
-    api_key=DASHSCOPE_API_KEY,
-    base_url=DASHSCOPE_API_URL
-)
-
-# 定义对话函数
-def answer(question, history):
-    if history is None:
-        history = []
-
-    # 将历史记录与用户输入合并
-    messages = [{'role': 'user', 'content': question}]
-    
-    # 向 DashScope API 发送请求
-    try:
-        completion = client.chat.completions.create(
-            model="deepseek-r1",  # 使用 DeepSeek-R1 模型
-            messages=messages
-        )
-
-        # 获取思考过程与最终答案
-        reasoning_content = completion.choices[0].message.get("reasoning_content", "没有思考过程")
-        bot_response = completion.choices[0].message["content"]
-
-        # 输出思考过程与最终答案（用于调试）
-        print("思考过程：", reasoning_content)
-        print("最终答案：", bot_response)
-
-        # 更新历史记录
-        history.append({"role": "user", "content": question})
-        history.append({"role": "assistant", "content": bot_response})
+# 创建 API 客户端
+client = OpenAI(api_key=api_key, base_url=base_url)
 
-        return history, history
-
-    except Exception as e:
-        print("API 请求失败：", e)
-        return history, history  # 返回空的 history
-
-
-# 创建 Gradio 界面
-with gr.Blocks(css="""
-    #chatbot {
-        height: 400px;
-        background-color: #f7f7f7;
-        border-radius: 10px;
-        padding: 20px;
-        box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
-    }
-    .gradio-container {
-        background-color: #212121;
-        border-radius: 20px;
-        padding: 40px;
-    }
-    .gr-button {
-        background-color: #4CAF50;
-        color: white;
-        border-radius: 10px;
-        padding: 10px 20px;
-        border: none;
-        font-weight: bold;
-    }
-    .gr-button:hover {
-        background-color: #45a049;
-    }
-    .gr-chatbot {
-        font-family: 'Arial', sans-serif;
-        height: 400px;
-    }
-    .chatbot-message {
-        margin: 10px;
-        padding: 10px;
-        border-radius: 15px;
-        background-color: #e1f5fe;
-    }
-    .user-message {
-        background-color: #a5d6a7;
-        color: #ffffff;
-    }
-    .assistant-message {
-        background-color: #e3f2fd;
-        color: #000000;
-    }
-    input[type="text"] {
-        font-size: 16px;
-        border-radius: 10px;
-        padding: 10px;
-        width: 100%;
-    }
-    .gradio-container .gr-chatbot .overflow-y-auto {
-        max-height: 500px;
-    }
-""") as demo:
-    chatbot = gr.Chatbot(elem_id="chatbot", type="messages")  # 使用 Gradio 的聊天组件
-    state = gr.State([])
-
-    with gr.Row():
-        txt = gr.Textbox(placeholder="请输入您的问题，并按回车发送", lines=1)
-
-    txt.submit(answer, [txt, state], [chatbot, state])
+# 测试调用
+response = client.chat.completions.create(
+    model="deepseek-r1",
+    messages=[{"role": "user", "content": "9.9和9.11谁大"}]
+)
 
-demo.launch()
+# 输出响应内容
+print(response.choices[0].message["content"])