Update app2.py

app2.py

@@ -1,8 +1,8 @@
-import asyncio
 from flask import Flask, request, render_template, Response
 import cv2
 import numpy as np
 import tensorflow as tf
+import threading
 
 # Load the TFLite model
 interpreter = tf.lite.Interpreter(model_path=r'midas.tflite')
@@ -90,18 +90,18 @@ def index():
     return render_template('depthmap.html')
 
 @app.route('/video_feed', methods=['POST'])
-async def video_feed():
+def video_feed():
     # Receive the frame from the client
-    frame_data = await request.files['frame'].read()
+    frame_data = request.files['frame'].read()
     nparr = np.frombuffer(frame_data, np.uint8)
     frame = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
 
-    # Process the frame asynchronously
-    processed_frame = await asyncio.to_thread(process_frame, frame)
+    # Process the frame
+    processed_frame = process_frame(frame)
 
     # Encode the processed frame as JPEG
     _, jpeg = cv2.imencode('.jpg', processed_frame)
     return Response(jpeg.tobytes(), mimetype='image/jpeg')
 
 if __name__ == '__main__':
-    app.run(debug=True, use_reloader=False)
+    app.run(debug=True, threaded=True)