Create app.py

app.py

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+import openai
+import gradio as gr
+import time
+
+# 设置OpenAI API密钥
+openai.api_key = 'sk-proj-yhAZYjSv6CBPOuOKV0iYT3BlbkFJg5k1dOwWdh7WZxNstGIt'
+
+# 初始化OpenAI客户端
+client = openai.OpenAI(api_key=openai.api_key)
+
+# 创建助手
+assistant = client.beta.assistants.create(
+    name="医疗模型",
+    instructions="You are a personal math tutor. Write and run code to answer math questions.",
+    tools=[{"type": "code_interpreter"}],
+    model="gpt-4o",
+)
+
+# 定义与助手进行交互的函数
+def chat_with_gpt4o(input_text):
+    # 创建对话线程和用户消息
+    thread = client.beta.threads.create()
+    message = client.beta.threads.messages.create(
+        thread_id=thread.id,
+        role="user",
+        content=input_text
+    )
+
+    # 开始运行助手
+    run = client.beta.threads.runs.create(
+        thread_id=thread.id,
+        assistant_id=assistant.id,
+        instructions="Please address the user as Jane Doe. The user has a premium account."
+    )
+
+    # 等待助手运行完成
+    while True:
+        run = client.beta.threads.runs.retrieve(run.id, thread_id=thread.id)
+        if run.status == 'completed':
+            break
+        time.sleep(1)
+
+    # 获取对话线程中的消息
+    messages = client.beta.threads.messages.list(thread_id=thread.id)
+
+    # 提取最后一条助手消息的内容
+    assistant_message = None
+    for msg in messages:
+        if msg.role == 'assistant':
+            assistant_message = msg.content[0].text.value
+
+    if assistant_message:
+        return assistant_message
+    else:
+        return "未找到助手的响应。"
+
+# 创建Gradio接口
+iface = gr.Interface(
+    fn=chat_with_gpt4o,
+    inputs="text",
+    outputs="text",
+    title="GPT-4o 医疗模型",
+    description="与GPT-4o进行对话并获取响应。"
+)
+
+# 启动接口
+iface.launch()