Update app.py

I have the modified squat detection

app.py

@@ -195,6 +195,8 @@ import numpy as np
 import mediapipe as mp
 import streamlit as st
 from streamlit_webrtc import webrtc_streamer
+import av
+import queue
 
 # Logging setup
 logger = logging.getLogger(__name__)
@@ -218,13 +220,16 @@ def calculate_angle(a, b, c):
         angle = 360 - angle
     return angle
 
-def process_frame(frame):
+# Detection Queue
+result_queue: "queue.Queue[list]" = queue.Queue()
+
+def video_frame_callback(frame: av.VideoFrame) -> av.VideoFrame:
     image = frame.to_ndarray(format="bgr24")
     image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
     with mp_pose.Pose(min_detection_confidence=0.5, min_tracking_confidence=0.5) as pose:
         results = pose.process(image_rgb)
         landmarks = results.pose_landmarks.landmark if results.pose_landmarks else []
-        
+
         if landmarks:
             hip = [landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].x, 
                    landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].y]
@@ -263,12 +268,14 @@ def process_frame(frame):
         mp_drawing.draw_landmarks(image, results.pose_landmarks, mp_pose.POSE_CONNECTIONS,
                                   mp_drawing.DrawingSpec(color=(255, 175, 0), thickness=2, circle_radius=2),
                                   mp_drawing.DrawingSpec(color=(0, 255, 200), thickness=2, circle_radius=2))
-    return image
+
+    result_queue.put(landmarks)
+    return av.VideoFrame.from_ndarray(image, format="bgr24")
 
 # WebRTC streamer configuration
 webrtc_streamer(
     key="squat-detection",
-    video_processor_factory=lambda: process_frame,
+    video_frame_callback=video_frame_callback,
     media_stream_constraints={"video": True, "audio": False},
     async_processing=True
 )
@@ -300,6 +307,7 @@ webrtc_streamer(
 
 
 
+
 
 
 # import logging