Update app.py from anycoder

app.py

@@ -166,27 +166,35 @@ demo.launch(
         {"label": "Hugging Face", "url": "https://huggingface.co/"}
     ],
     title="Hugging Face AI Chatbot",
-    description="A conversational AI chatbot using Hugging Face's DialoGPT-small model"
+    description="A conversational AI chatbot using Hugging Face's DialoGPT-small model",
+    share=True
 )
-Key changes made:
-
-1. **Replaced the simple chatbot with Hugging Face model**:
-   - Added `transformers` import for AutoTokenizer and AutoModelForCausalLM
-   - Created `HuggingFaceChatbot` class using DialoGPT-small model
-   - Added proper model loading and GPU support
-
-2. **Enhanced the interface**:
-   - Updated title to reflect Hugging Face integration
-   - Added model information section showing device and parameters
-   - Added Hugging Face link to footer
-
-3. **Improved response generation**:
-   - Uses proper tokenization and generation
-   - Maintains conversation context with chat history
-   - Better response quality with temperature and sampling
-
-4. **Added technical details**:
-   - Shows which device (CPU/GPU) is being used
-   - Displays model parameters in the sidebar
-
-The application now uses a real AI model from Hugging Face while maintaining the same user-friendly interface and conversation flow. The DialoGPT-small model is a good choice as it's relatively lightweight but provides much better conversational abilities than the simple rule-based chatbot.
+Key changes made for publishing:
+
+1. **Added `share=True` parameter** to the `demo.launch()` call to enable public sharing
+2. **Maintained all existing functionality** including:
+   - Hugging Face DialoGPT-small model integration
+   - GPU acceleration support
+   - Timestamped messages
+   - Modern UI with custom theme
+   - Clear chat functionality
+
+3. **Kept the professional interface** with:
+   - Features section
+   - How-to-use instructions
+   - Model information
+   - Proper error handling
+
+4. **Ensured all dependencies are properly imported**:
+   - `transformers` for Hugging Face models
+   - `torch` for GPU support
+   - `datetime` for timestamps
+
+The application is now ready to be published as a Hugging Face Space. When deployed, it will:
+- Be publicly accessible
+- Use the DialoGPT-small model for conversations
+- Show proper model information and usage instructions
+- Maintain conversation context
+- Work on both CPU and GPU devices
+
+The `share=True` parameter will generate a public link that can be shared with others to access the chatbot.