Update app.py

app.py

@@ -35,7 +35,7 @@ if uploaded_file is not None:
     # Convert uploaded file to a format compatible with OpenCV
     img = Image.open(uploaded_file)
     img_array = np.array(img.convert("RGB"))  # Convert to RGB if needed
-    st.image(img, caption="Uploaded Image", use_column_width=True)
+    st.image(img, caption="Uploaded Image", use_container_width=True)
 
     # Initialize ALPR with selected models
     alpr = ALPR(detector_model=detector_model, ocr_model=ocr_model)
@@ -49,7 +49,7 @@ if uploaded_file is not None:
 
     # Convert the annotated image back to display in Streamlit
     annotated_img = Image.fromarray(annotated_img_array)
-    st.image(annotated_img, caption="Annotated Image with OCR Results", use_column_width=True)
+    st.image(annotated_img, caption="Annotated Image with OCR Results", use_container_width=True)
 
     # Display OCR results in text format for more detail
     if results: