Create app.py

app.py

@@ -0,0 +1,45 @@
+import streamlit as st
+import cv2
+import numpy as np
+
+def main():
+    st.set_page_config(page_title="Streamlit Webcam Canny Edge App")
+    st.title("Webcam Canny Edge Detection App")
+    st.caption("Powered by OpenCV, Streamlit")
+
+    # Capture video from the webcam
+    cap = cv2.VideoCapture(0)
+    frame_placeholder = st.empty()
+    stop_button_pressed = st.button("Stop")
+
+    while cap.isOpened() and not stop_button_pressed:
+        ret, frame = cap.read()
+        if not ret:
+            st.write("Video Capture Ended")
+            break
+        
+        # Convert the frame to grayscale
+        gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+        
+        # Apply Canny edge detection
+        edges = cv2.Canny(gray_frame, 100, 200)
+        
+        # Create an overlay of edges on the original frame
+        edges_colored = cv2.cvtColor(edges, cv2.COLOR_GRAY2BGR)
+        overlay = cv2.addWeighted(frame, 0.7, edges_colored, 0.3, 0)
+
+        # Resize the frame for better display (smaller size)
+        overlay_resized = cv2.resize(overlay, (320, 240))  # Change size here
+
+        # Display the overlay
+        frame_placeholder.image(overlay_resized, channels="BGR", caption="Webcam Feed with Canny Edges", use_column_width=True)
+
+        # Break loop on 'q' key or stop button press
+        if cv2.waitKey(1) & 0xFF == ord("q") or stop_button_pressed:
+            break
+
+    cap.release()
+    cv2.destroyAllWindows()
+
+if __name__ == "__main__":
+    main()