Create app.py

app.py

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+import streamlit as st
+import cv2
+import numpy as np
+from LicensePlateAuthorizer import LicensePlateAuthorizer
+
+# Initialize the License Plate Authorizer
+lpa = LicensePlateAuthorizer()
+
+# Streamlit interface
+st.title("Real-Time License Plate Detection")
+st.write("This app captures video from your webcam and detects license plates in real time.")
+
+# Start video capture
+cap = cv2.VideoCapture(0)
+
+if not cap.isOpened():
+    st.error("Could not open webcam.")
+else:
+    stframe = st.empty()  # Placeholder for video frames
+
+    # Run real-time detection
+    while True:
+        ret, frame = cap.read()
+        if not ret:
+            st.error("Failed to grab frame.")
+            break
+
+        # Process the frame using your model
+        processed_frame = lpa.forward(frame)
+
+        if processed_frame is not None:
+            # Convert frame to RGB (Streamlit expects images in RGB format)
+            processed_frame_rgb = cv2.cvtColor(processed_frame, cv2.COLOR_BGR2RGB)
+            stframe.image(processed_frame_rgb, channels="RGB")
+
+        # Stop the loop if the user presses 'q' or closes the app
+        if st.button("Stop"):
+            break
+
+    cap.release()
+    cv2.destroyAllWindows()
+
+st.write("Stopped the webcam.")