app.py

import os
from concurrent.futures import ThreadPoolExecutor
import gradio as gr
from heartBPM_modified_copy import heart
from eyebrow_detection_modified_copy import stress

def process_heart_stress(video_file):
    # Validate the input file path
    if not video_file or not os.path.isfile(video_file):
        return {'error': 'Invalid video path'}

    # Run heart rate and stress detection functions in parallel
    with ThreadPoolExecutor() as executor:
        heart_future = executor.submit(heart, video_file)
        stress_future = executor.submit(stress, video_file, duration=30)
        
        # Retrieve results
        avg_bpm, frames_processed = heart_future.result()
        stressed_count, not_stressed_count, most_frequent_label = stress_future.result()

    # Compile results
    results = {
        'Average BPM': avg_bpm,
        'Most Frequent Stress State': most_frequent_label,
    }

    return results

# Define Gradio interface for Heart and Stress Measurement
gr.Interface(
    fn=process_heart_stress,
    inputs=gr.Video(label="Upload a video file"),
    outputs="json",
    title="Heart Rate and Stress Measurement"
).launch(server_name="0.0.0.0")