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app.py

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+import streamlit as st
+import cv2
+import numpy as np
+from PIL import Image
+
+def main():
+    st.title("Webcam Grayscale Filter")
+    st.write("This app applies a grayscale filter to your webcam feed.")
+    
+    # Add a placeholder for the webcam feed
+    video_placeholder = st.empty()
+    
+    # Add a stop button
+    stop_button = st.button("Stop")
+    
+    # Start the webcam
+    cap = cv2.VideoCapture(0)
+    
+    # Check if the webcam is opened correctly
+    if not cap.isOpened():
+        st.error("Cannot open webcam. Please check your camera connection.")
+        return
+    
+    while cap.isOpened() and not stop_button:
+        # Read a frame from the webcam
+        ret, frame = cap.read()
+        
+        if not ret:
+            st.error("Failed to capture image from webcam.")
+            break
+        
+        # Convert the frame to grayscale
+        gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+        
+        # Convert grayscale frame to RGB for Streamlit display
+        # (Streamlit expects RGB images)
+        gray_rgb = cv2.cvtColor(gray_frame, cv2.COLOR_GRAY2RGB)
+        
+        # Display the frame in the Streamlit app
+        video_placeholder.image(gray_rgb, channels="RGB", use_column_width=True)
+        
+        # Add a small delay
+        if cv2.waitKey(1) & 0xFF == ord('q'):
+            break
+    
+    # Release resources
+    cap.release()
+    cv2.destroyAllWindows()
+    st.write("Webcam stopped")
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+streamlit==1.30.0
+opencv-python-headless==4.8.1.78
+numpy==1.26.2
+Pillow==10.1.0