app.py

import os
import subprocess
import gradio as gr

# execute a CLI command
def execute_command(command: str) -> None:
    subprocess.run(command, check=True)


def infer(video_frames, masks_frames):

    video_frames_folder = "inputs/object_removal/bmx-trees"
    masks_folder = "inputs/object_removal/bmx-trees_mask"

    # Create the "results" folder if it doesn't exist
    output_folder = "results"
    if not os.path.exists(output_folder):
        os.makedirs(output_folder)


    #bmx_trees_folder = os.path.join(output_folder, "bmx-trees")
    
    command = [
      f"python", 
      f"inference_propainter.py",
      f"--video={video_frames_folder}",
      f"--mask={masks_folder}",
      f"--output={output_folder}"
    ]

    execute_command(command)

    # Get the list of files in the "results" folder
    result_files = os.listdir(output_folder)

    # Print the content of the "results" folder
    print(f"Contents of the {output_folder} folder:")
    for item in result_files:
        print(item)

    # List the content of the "bmx-trees" folder within "results"
    bmx_trees_folder = os.path.join(output_folder, "bmx-trees")
    bmx_trees_content = os.listdir(bmx_trees_folder)

    print(f"Contents of the {bmx_trees_folder} folder:")
    for item in bmx_trees_content:
        print(item)


    return "done"

css="""
#col-container{
    margin: 0 auto;
    max-width: 840px;
    text-align: left;
}
"""
    
with gr.Blocks(css=css) as demo:
    with gr.Column(elem_id="col-container"):
        gr.HTML("""
        <h2 style="text-align: center;">ProPainter</h2>
        <p style="text-align: center;">
            
        </p>
                """)

        with gr.Row():
            with gr.Column():
                video_frames = gr.Files(label="Video frames")
                masks_frames = gr.Files(label="Masks frames")
        
                submit_btn = gr.Button("Submit")

            with gr.Column():
                result = gr.Textbox(label="Result")

        
            
    submit_btn.click(fn=infer, inputs=[video_frames, masks_frames], outputs=[result])
    
demo.queue(max_size=12).launch()