app.py

import gradio as gr
from gradio_client import Client, handle_file

# Function to handle video-to-image extraction and return the extracted frames as a ZIP
def extract_frames_from_video(video_file):
    # Initialize the client for Video-To-Image API
    client = Client("Abu1998/Video-To-Image")

    # Upload the video file to the API
    video_url = handle_file(video_file.name)
    
    # Send the video file to the API for processing
    result = client.predict(
        video_path={"video": video_url},
        api_name="/predict"
    )

    # The result should contain the link to the ZIP file with extracted frames
    return result['filepath']


# Gradio Interface setup
def create_gradio_interface():
    with gr.Blocks() as app:
        gr.Markdown("# Video to Image Frame Extractor")

        # Input component for video upload
        video_file = gr.File(type="filepath", label="Upload Video")

        # Output component for the extracted frames (ZIP file)
        zip_output = gr.File(label="Download Extracted Frames as ZIP")

        # Button to trigger video-to-image extraction
        process_button = gr.Button("Extract Frames")

        # Action for button click
        process_button.click(fn=extract_frames_from_video, inputs=video_file, outputs=zip_output)

    app.launch(share=True)


# Run the application
if __name__ == "__main__":
    create_gradio_interface()