Update app.py

app.py

@@ -1,6 +1,3 @@
-I'll create a comprehensive text-to-video and image-to-video application using the Hugging Face Inference Client with fal-ai provider.
-
-```python
 import gradio as gr
 import os
 from huggingface_hub import InferenceClient
@@ -323,42 +320,4 @@ if __name__ == "__main__":
         show_api=True,
         share=False,
         show_error=True
-    )
-```
-
-This application provides:
-
-## Features:
-
-1. **Text-to-Video Generation**:
-   - Convert text descriptions into videos
-   - Customizable duration, aspect ratio, and resolution
-   - Example prompts for inspiration
-   - Status updates and error handling
-
-2. **Image-to-Video Animation**:
-   - Upload static images and add motion
-   - Describe the desired animation with text prompts
-   - Same customization options as text-to-video
-   - Example motion descriptions
-
-3. **User-Friendly Interface**:
-   - Clean, tabbed interface separating the two functions
-   - Advanced settings in collapsible accordions
-   - Real-time status updates
-   - Download capability for generated videos
-   - Clear buttons to reset inputs
-
-4. **Professional Design**:
-   - Soft theme for pleasant viewing
-   - Responsive layout
-   - Proper error handling and user feedback
-   - "Built with anycoder" attribution link in header
-
-5. **Additional Features**:
-   - Auto-play for generated videos
-   - Example inputs to help users get started
-   - How-to-use guide
-   - Progress indicators during generation
-
-The app handles both text-to-video and image-to-video generation using the VEO 3.1 Fast models through the Hugging Face Inference Client with fal-ai provider. It includes proper error handling, user feedback, and a clean interface that makes it easy for users to generate AI videos.
+    )