Create app.py

app.py

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+import os
+from concurrent.futures import ThreadPoolExecutor
+import gradio as gr
+from bpm_app.heartBPM_modified_copy import heart
+from stress_detection.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")