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app.py

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+import gradio as gr 
+from transformers import pipeline 
+ 
+def respond(message, history): 
+    """Process user message with conversation history""" 
+    # Format conversation history 
+    prompt = "" 
+    if history: 
+        for human_msg, bot_msg in history: 
+            prompt += f"Human: {human_msg}\nAssistant: {bot_msg}\n" 
+ 
+    # Add current message 
+    prompt += f"Human: {message}\nAssistant:" 
+ 
+    # Initialize chatbot 
+    chatbot = pipeline("text-generation", model="microsoft/DialoGPT-medium") 
+ 
+    # Generate response 
+    response = chatbot( 
+        prompt, 
+        max_length=200, 
+        temperature=0.7, 
+        top_p=0.9, 
+        repetition_penalty=1.1, 
+        do_sample=True, 
+        pad_token_id=50256 
+    ) 
+ 
+    # Extract only the assistant's response 
+    full_text = response[0]['generated_text'] 
+    assistant_response = full_text.split("Assistant:")[-1].strip() 
+ 
+    return assistant_response 
+ 
+# Create Gradio interface 
+demo = gr.ChatInterface( 
+    fn=respond, 
+    title="?? SimpleAI Chatbot", 
+    description="A conversational AI powered by DialoGPT", 
+    examples=["Hello!", "What's AI?", "Tell me a joke"], 
+    theme="soft", 
+    retry_btn=None, 
+    undo_btn=None, 
+    clear_btn="Clear Chat" 
+) 
+ 
+if __name__ == "__main__": 
+    demo.launch()