app.py

import subprocess, sys

# ---- Force install moviepy + ffmpeg at runtime (HF build sometimes skips it)
subprocess.run(
    [sys.executable, "-m", "pip", "install", "moviepy==1.0.3", "imageio[ffmpeg]"],
    check=True
)

import gradio as gr
from diffusers import StableVideoDiffusionPipeline
import torch
import moviepy.editor as mpy
from PIL import Image

device = "cuda" if torch.cuda.is_available() else "cpu"

pipe = StableVideoDiffusionPipeline.from_pretrained(
    "stabilityai/stable-video-diffusion-img2vid",
    torch_dtype=torch.float16 if device == "cuda" else torch.float32,
    variant="fp16" if device == "cuda" else None
).to(device)

def generate_video(image, frames=25, motion_strength=0.8, fps=8):
    image = image.convert("RGB")
    result = pipe(
        image,
        num_frames=frames,
        motion_bucket_id=int(motion_strength * 127),
        noise_aug_strength=0.05
    )
    frames_list = result.frames[0]
    clip = mpy.ImageSequenceClip(frames_list, fps=fps)
    output_path = "/tmp/generated_video.mp4"
    clip.write_videofile(output_path, codec="libx264", audio=False, verbose=False, logger=None)
    return output_path

iface = gr.Interface(
    fn=generate_video,
    inputs=[
        gr.Image(label="Upload Image", type="pil"),
        gr.Slider(10, 50, value=25, step=1, label="Frames"),
        gr.Slider(0.0, 1.0, value=0.8, step=0.05, label="Motion Strength"),
        gr.Slider(4, 12, value=8, step=1, label="FPS")
    ],
    outputs=gr.Video(label="Generated Video"),
    title="🎥 AI Image → Video Generator",
    description="Upload any photo and generate a short cinematic motion video using Stable Video Diffusion."
)

iface.launch()