Update app.py

app.py

@@ -34,7 +34,7 @@ def get_class_label(predicted_class_index):
     return label_encoder.inverse_transform([predicted_class_index])[0]  # Get class label
 
 # Streamlit App UI
-st.title("Dementia Detection using CNN")
+st.title("Alzheimer Detection using CNN 🧠")
 st.write("Upload a brain scan (JPG format), and the model will predict its class.")
 
 # File uploader for user to upload images
@@ -42,7 +42,7 @@ uploaded_file = st.file_uploader("Choose a JPG image...", type="jpg")
 
 if uploaded_file is not None:
     st.image(uploaded_file, caption="Uploaded Image", use_column_width=True)
-    st.write("Classifying...")
+    st.write("Detecting...")
 
     # Load and preprocess the image
     processed_image = load_and_preprocess_image(uploaded_file)
@@ -54,4 +54,4 @@ if uploaded_file is not None:
     predicted_class_label = get_class_label(predicted_class_index)
     
     # Display the result
-    st.write(f"The predicted class is: **{predicted_class_label}**")
+    st.markdown(f"<h3 style='color: #4CAF50;'>The predicted class is: <strong>{predicted_class_label}</strong></h3>", unsafe_allow_html=True)