Update app.py

app.py

@@ -11,7 +11,8 @@ loaded_model = keras.models.load_model('tuned_model_classic.h5')
 class_labels = ['Stroke', 'Non-Stroke']
 
 # Streamlit App
-st.title('Image Classifier')
+st.title('Stroke Classifier')
+st.write('This an app developed with collaboration of a doctor and CS student for the purpose of addressing stroke people faster in Bangladesh using AI, I used a classic CNN Architect')
 st.write('Upload an image to classify')
 
 uploaded_image = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])