Update app.py

app.py

@@ -509,14 +509,14 @@ if uploaded_file is not None:
     with col1:
         redirect_button("https://new-ohif-viewer-k7c3gdlxua-et.a.run.app/")
 
-    with col2:
+    # with col2:
         # model_detection = load_model_detection()
         # file_bytes = np.asarray(bytearray(uploaded_file.read()), dtype=np.uint8)
         # image = cv2.imdecode(file_bytes, 1)
     
         # st.image(image, caption='Uploaded Image.', use_column_width=True)
     
-        st.button('Detect')
+        # st.button('Detect')
         #     st.write("Processing...")
         #     input_image = preprocess_image(image)
         #     pred_bbox, pred_label, pred_label_confidence = predict(model_detection, input_image)
@@ -609,7 +609,7 @@ if uploaded_file is not None:
         #         output_image = draw_bbox(image.copy(), pred_bbox)
         #         st.image(output_image, caption='Detected Image.', use_column_width=True)
     
-    with col3:
+    with col2:
         if st.button('Generate Grad-CAM'):
             model=load_gradcam_model()
             # Compute and show Grad-CAM