Updated lines 59-82 with: [# notation] | Updated lines 88-94 with: [# notation] | Updated lines 108-110 with: [# notation] | Updated lines 112-117 with: # Output the predictions st.write(f'Class Mappings: {class_mappings}') st.write("\nNormal Image Prediction:", np.round(predictions[0], 3)[0]) st.write("Glioma Image Prediction:", np.round(predictions[1], 3)[0]) st.write("Meningioma Image Prediction:", np.round(predictions[2], 3)[0]) st.write("Pituitary Image Prediction:", np.round(predictions[3], 3)[0])

Updated lines 88-94 with: # BR_ (brightness) | # DA_ (Darkness) | # HF_ (High Freuquency) | # RO_ (Rotation) | # SP_ (Salt and Pepper) | # VF_ (Vertical Flip) | Updated lines 108-110 with: st.write(f'Class Mappings: {class_mappings}') for i, (prediction, true_label) in enumerate(zip(predicted_labels, true_labels)): st.write(f"Image {i+1} Prediction: {prediction}, True Label: {true_label}")

Updated lines 104-128 with: st.write("\nNormal Image Prediction:", np.round(predictions[0], 3)[0]) st.write("Glioma Image Prediction:", np.round(predictions[1], 3)[0]) st.write("Meningioma Image Prediction:", np.round(predictions[2], 3)[0]) st.write("Pituitary Image Prediction:", np.round(predictions[3], 3)[0])

Updated lines 55-82 with: N,G,M,P images

Updated lines 55-58 with: TroglodyteDerivations/Brain_Tumor_One_Hot_Encode_TF_Model/

Updated lines 55-58 with: Folder imports of Crystal Clean images

Updated lines 27-28 with: [notation] | Updated line 72 with: app title st.markdown("<h1 style='text-align: center; color: navy;'>Brain Tumor One Hot Encode TF Model</h1>", unsafe_allow_html=True)

Updated line 7 with: # Disable the PyplotGlobalUseWarning st.set_option('deprecation.showPyplotGlobalUse', False) | Updated lines 34-45 with: display_images_and_predictions modifications

Create app.py