Create app.py

app.py

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+import cv2
+import mediapipe as mp
+import streamlit as st
+from PIL import Image
+import numpy as np
+
+# Initialize MediaPipe Pose
+mp_pose = mp.solutions.pose
+pose = mp_pose.Pose()
+mp_drawing = mp.solutions.drawing_utils
+
+def process_frame(frame):
+    # Convert the frame to RGB
+    image_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+    results = pose.process(image_rgb)
+    if results.pose_landmarks:
+        # Draw the pose annotations on the image
+        mp_drawing.draw_landmarks(frame, results.pose_landmarks, mp_pose.POSE_CONNECTIONS)
+    return frame
+
+def main():
+    st.title("Live Pose Detection")
+    st.write("This app uses MediaPipe for real-time pose detection.")
+
+    # Create a placeholder for the video stream
+    stframe = st.empty()
+
+    # Open the webcam
+    cap = cv2.VideoCapture(0)
+
+    while cap.isOpened():
+        ret, frame = cap.read()
+        if not ret:
+            st.write("Error: Could not read frame.")
+            break
+
+        # Process the frame
+        frame = process_frame(frame)
+
+        # Convert the frame to RGB format
+        frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+        # Convert to PIL Image and display
+        stframe.image(Image.fromarray(frame_rgb), channels='RGB', use_column_width=True)
+
+    cap.release()
+    cv2.destroyAllWindows()
+
+if __name__ == "__main__":
+    main()