gradio_interface_extended.py.save

import gradio as gr
import os
import moviepy.editor as mp
import torch
from diffusers import StableDiffusionPipeline

# Load the Stable Diffusion model
pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
pipe.to("cpu")  # Change to "cuda" if you have a GPU

def generate_video(prompt, duration, framerate):
    temp_dir = "/tmp/sd_frames"
    if not os.path.exists(temp_dir):
        os.makedirs(temp_dir, exist_ok=True)
    
    # Generate frames using the prompt
    for i in range(1, int(duration * framerate) + 1):
        frame = pipe(prompt).images[0]
        frame.save(f"{temp_dir}/frame_{i:04d}.png")
    
    # Generate video from frames
    video = mp.ImageSequenceClip(temp_dir, fps=framerate)
    output_path = "/tmp/sd_video.mp4"
    video.write_videofile(output_path, codec="libx264")
    
    return output_path

iface = gr.Interface(
    fn=generate_video,
    inputs=[
        gr.Textbox(label="Prompt"),
        gr.Slider(label="Duration (seconds)", minimum=1, maximum=30, step=1, default=5),
        gr.Slider(label="Framerate (fps)", minimum=1, maximum=60, step=1, default=30)
    ],
    outputs=gr.Video(label="Generated Video"),
    title="AI Dreams & Visions Video Generator",
    description="Generate a video based on a prompt. Enter the prompt, set the duration and framerate, and click 'Generate Video'.",
    theme="dark",
    css="footer {visibility: hidden}"
)

if __name__ == "__main__":
    iface.launch(share=True)