app.py

import gradio as gr
from diffusers import StableVideoDiffusionPipeline
import torch

# Load AI Model
model_id = "stabilityai/stable-video-diffusion-img2vid"
pipe = StableVideoDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe.to("cuda")  # GPU use karein for better speed

# Define Function to Convert Image to Video
def image_to_video(input_image):
    video_frames = pipe(input_image).frames
    return video_frames

# Create Web Interface
demo = gr.Interface(
    fn=image_to_video,
    inputs=gr.Image(type="pil"),
    outputs="video",
    title="Free AI Image to Video Generator",
    description="Upload an image and get an AI-generated video.",
)

# Launch Website
demo.launch()