app.py

import gradio as gr
from pathlib import Path
import subprocess
from inference_img import *

OUTPUT_GIF = Path("demo/output.gif")

def generate_demo_gif(img1, img2):
    # Save uploaded images
    frame1_path = Path("demo/frame1.jpg")
    frame2_path = Path("demo/frame2.jpg")
    img1.save(frame1_path)
    img2.save(frame2_path)

    try:
        result = subprocess.run([
            "python", "inference_img.py",
            "--img", str(frame1_path), str(frame2_path),
            "--exp=4",
            "--model='train_log/",
            
        ], capture_output=True, text=True)

        print("STDOUT:", result.stdout)
        print("STDERR:", result.stderr)

        if result.returncode == 0 and OUTPUT_GIF.exists():
            return OUTPUT_GIF
        else:
            return "GIF generation failed."
    except Exception as e:
        print(f"Error: {e}")
        return "No subprocss. Error during GIF generation."

with gr.Blocks() as demo_ui:
    with gr.Tab("Demo"):
        gr.Markdown("### Upload two frames to generate a GIF")
        with gr.Row():
            img1_input = gr.Image(type="pil", label="Frame 1")
            img2_input = gr.Image(type="pil", label="Frame 2")
        generate_btn = gr.Button("Generate GIF")
        output_gif = gr.Image(label="Generated GIF")

        generate_btn.click(
            fn=generate_demo_gif,
            inputs=[img1_input, img2_input],
            outputs=output_gif
        )

demo_ui.launch()