Update app.py

app.py

@@ -239,6 +239,8 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme") as demo:
                 info="(Optional) Provide a custom Hugging Face model path. Overrides any selected featured model.",
                 placeholder="damo-vilab/text-to-video-ms-1.7b"
             )
+            
+            gr.Markdown("[See all available models](https://huggingface.co/models?inference_provider=all&pipeline_tag=text-to-video&sort=trending)")
     
     # Advanced settings in an accordion
     with gr.Accordion("Advanced Settings", open=False):
@@ -409,38 +411,7 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme") as demo:
         outputs=provider_radio
     )
     
-    # Information tab
-    with gr.Accordion("Information & Help", open=False):
-        gr.Markdown("""
-        # 🎬 Serverless-VideoGen-Hub
-        
-        This application uses Hugging Face's Serverless Inference API to generate videos from text prompts.
-        
-        ## Supported Providers
-        
-        - **hf-inference**: Hugging Face's default inference API (free)
-        - **fal-ai**: Fal AI provider (requires API key)
-        - **novita**: Novita AI provider (requires API key)
-        - **replicate**: Replicate provider (requires API key)
-        
-        ## Parameters Explained
-        
-        - **Prompt**: The text description of your desired video
-        - **Negative Prompt**: What you DON'T want to see in the video
-        - **Width/Height**: Dimensions of the generated video
-        - **Number of Frames**: Total frames to generate
-        - **FPS**: Frames per second for playback
-        - **Inference Steps**: More steps = higher quality but slower generation
-        - **Guidance Scale**: How closely to follow the prompt (higher values = more faithful)
-        - **Motion Bucket ID**: Controls motion intensity (for Stable Video Diffusion models)
-        - **Seed**: For reproducible results, -1 means random
-        
-        ## Models
-        
-        You can either select from the featured models or enter a custom model path.
-        
-        Check out [Hugging Face's models page](https://huggingface.co/models?pipeline_tag=text-to-video) for more video generation models.
-        """)
+
 
 # Launch the app
 if __name__ == "__main__":