Delete app.py

app.py

@@ -1,54 +0,0 @@
-import gradio as gr
-import torch
-from diffusers import StableVideoDiffusionPipeline
-from PIL import Image
-import imageio
-import os
-import uuid
-
-# Load model (automatically uses GPU if available)
-device = "cuda" if torch.cuda.is_available() else "cpu"
-
-pipe = StableVideoDiffusionPipeline.from_pretrained(
-    "stabilityai/stable-video-diffusion-img2vid-xt",
-    torch_dtype=torch.float16 if device == "cuda" else torch.float32
-)
-
-pipe = pipe.to(device)
-
-def generate_video(image, fps):
-    if image is None:
-        return None
-
-    image = image.convert("RGB")
-
-    # Generate frames
-    frames = pipe(image, num_frames=25).frames[0]
-
-    # Save video
-    filename = f"output_{uuid.uuid4().hex}.mp4"
-    imageio.mimsave(filename, frames, fps=fps)
-
-    return filename
-
-# UI
-with gr.Blocks() as demo:
-    gr.Markdown("# 🎬 StuffMotion AI (Image → Video)")
-    gr.Markdown("Upload an image and generate AI motion video")
-
-    with gr.Row():
-        image_input = gr.Image(type="pil", label="Input Image")
-
-    fps = gr.Slider(5, 30, value=12, step=1, label="FPS")
-
-    generate_btn = gr.Button("Generate Video")
-
-    video_output = gr.Video()
-
-    generate_btn.click(
-        fn=generate_video,
-        inputs=[image_input, fps],
-        outputs=video_output
-    )
-
-demo.launch()