Create App.py

App.py

@@ -1,23 +1 @@
-import gradio as gr
-from huggingface_hub import hf_hub_download
-import torch
-# Note: This is a simple wrapper example. For real image-to-video, use a Space like Wan2.2 or LTX-2.3 preview if available.
-
-def image_to_video(image, prompt):
-    # Placeholder - in real use, load a model like Stable Video Diffusion or Wan2.2
-    # For beginner demo, return a message or use a public API
-    return "Video generation started. (In a real advanced Space, this would output a video clip.) Prompt: " + prompt
-
-demo = gr.Interface(
-    fn=image_to_video,
-    inputs=[
-        gr.Image(type="pil", label="Upload your image"),
-        gr.Textbox(label="Describe the motion or action", placeholder="The person walks forward slowly")
-    ],
-    outputs=gr.Video(label="Generated Video"),
-    title="Simple Image to Video Demo (Beginner Version)",
-    description="Upload an image and describe what should happen. This is a basic example - for better results, use public Spaces like Wan2.2 on Hugging Face."
-)
-
-if __name__ == "__main__":
-    demo.launch()
+git add app.py && git commit -m 'Add application file' && git push