Update app.py

app.py

@@ -47,30 +47,15 @@ def process_hand(image):
 st.title("AI Sign Language Interpreter")
 st.write("Make a thumbs up or thumbs down gesture in front of your camera.")
 
-# Upload or capture an image
-uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
-if uploaded_file is not None:
-    image = np.array(Image.open(uploaded_file))
-    processed_image = process_hand(image)
-    
-    # Convert the image back to RGB for display
-    st.image(cv2.cvtColor(processed_image, cv2.COLOR_BGR2RGB), caption="Processed Output", use_column_width=True)
-else:
-    st.write("Please upload an image.")
-
-# Activate the webcam feed for live processing
+# Button to start webcam
 if st.button("Start Webcam"):
-    run = st.checkbox('Running')
-    cam = cv2.VideoCapture(0)
-    stframe = st.empty()
-
-    while run:
-        ret, frame = cam.read()
-        if not ret:
-            st.write("Failed to capture image")
-            break
-        
-        processed_frame = process_hand(frame)
-        stframe.image(cv2.cvtColor(processed_frame, cv2.COLOR_BGR2RGB), channels="RGB", use_column_width=True)
+    # Use Streamlit's built-in camera input
+    video_input = st.camera_input("Camera Input")
+    
+    if video_input is not None:
+        # Read the video input
+        image = Image.open(video_input)
+        processed_image = process_hand(np.array(image))
         
-    cam.release()
+        # Display the processed output
+        st.image(cv2.cvtColor(processed_image, cv2.COLOR_BGR2RGB), caption="Processed Output", use_column_width=True)