Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# 加载 Hugging Face 上的预训练模型（以 DeepSeek 为例）
+model_name = "deepseek-ai/deepseek-7b"
+pipe = pipeline("text-generation", model=model_name, tokenizer=model_name)
+
+# 定义与模型对话的函数
+def chat_with_ai(prompt):
+    # 使用模型生成文本
+    response = pipe(prompt, max_length=100, do_sample=True)
+    return response[0]["generated_text"]
+
+# 创建 Gradio 界面
+with gr.Blocks() as demo:
+    gr.Markdown("# 🤖 AI Chatbot powered by DeepSeek")
+    
+    # 聊天框组件
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox(label="Type your message:")
+    clear = gr.Button("Clear")
+
+    # 定义响应函数，处理用户输入并更新聊天历史
+    def respond(message, chat_history):
+        response = chat_with_ai(message)
+        chat_history.append((message, response))  # 将对话记录添加到聊天历史
+        return "", chat_history
+
+    # 提交消息并更新聊天记录
+    msg.submit(respond, [msg, chatbot], [msg, chatbot])
+    # 清空聊天记录
+    clear.click(lambda: [], None, chatbot)
+
+# 启动 Gradio 界面
+demo.launch()