Update app.py

app.py

@@ -43,14 +43,17 @@ if uploaded_file is not None:
     annotated_img_array = alpr.draw_predictions(img_array)
 
     # Convert the annotated image back to display in Streamlit
-    annotated_img = Image.fromarray(cv2.cvtColor(annotated_img_array, cv2.COLOR_BGR2RGB))
+    annotated_img = Image.fromarray(annotated_img_array)
     st.image(annotated_img, caption="Annotated Image with OCR Results", use_column_width=True)
 
     # Display OCR results in text format for more detail
     if results:
         st.write("**OCR Results:**")
         for result in results:
-            st.write(f"- Detected Plate: `{result['text']}` with confidence `{result['confidence']:.2f}`")
+            # Access the detection and OCR attributes from ALPRResult
+            plate_text = result.ocr.text if result.ocr else "N/A"
+            plate_confidence = result.ocr.confidence if result.ocr else 0.0
+            st.write(f"- Detected Plate: `{plate_text}` with confidence `{plate_confidence:.2f}`")
     else:
         st.write("No license plate detected.")
 else: