app.py

import gradio as gr
import os
from ultralytics import YOLO

# Load the YOLO11-pose model (auto-downloads if not present)
model = YOLO("yolo11n-pose.pt")

def process_input(uploaded_file, youtube_link):
    """
    Process an uploaded file or a YouTube link to perform pose detection.
    Returns the path to the annotated output.
    """
    if youtube_link and youtube_link.strip():
        try:
            from pytube import YouTube
            yt = YouTube(youtube_link)
            stream = yt.streams.filter(file_extension='mp4', progressive=True)\
                               .order_by("resolution").desc().first()
            if stream is None:
                return "No suitable mp4 stream found."
            input_path = stream.download()
        except Exception as e:
            return f"Error downloading video: {e}"
    elif uploaded_file is not None:
        input_path = uploaded_file.name
    else:
        return "Please provide an uploaded file or a YouTube link."
    
    # Run pose detection and save the annotated output.
    results = model.predict(source=input_path, save=True)
    
    try:
        output_path = results[0].save_path
    except Exception as e:
        return f"Error processing the file: {e}"
    
    # Optionally remove the downloaded video if applicable.
    if youtube_link and os.path.exists(input_path):
        os.remove(input_path)
    
    return output_path

# Define the Gradio Blocks interface as a global variable.
demo = gr.Blocks()

with demo:
    gr.Markdown("# Pose Detection with YOLO11-pose")
    gr.Markdown("Upload an image/video or provide a YouTube link to detect human poses.")
    with gr.Row():
        file_input = gr.File(label="Upload Image/Video")
        youtube_input = gr.Textbox(label="Or enter a YouTube link", placeholder="https://...")
    output_file = gr.File(label="Download Annotated Output")
    run_button = gr.Button("Run Pose Detection")
    run_button.click(process_input, inputs=[file_input, youtube_input], outputs=output_file)

# Only launch the interface if this file is executed directly.
if __name__ == "__main__":
    demo.launch()