Update app.py

app.py

@@ -40,6 +40,15 @@ def predict(model, labels, img):
 
 def main():
     st.title('Oxford 102 Flower Classification Demo')
+    st.markdown('### NAME:')
+    st.write('Oxford 102 Flower Classification')
+    st.markdown('### CLASS:')
+    st.write('Deep Learning')
+    st.markdown('### LEVEL:')
+    st.write('Beginner')
+    st.markdown('---')
+    st.write("This is a demo of an image classification model trained on the Oxford 102 Flower Dataset. It can identify 102 different types of flowers. To test the model, upload an image of a flower and click the 'Run on image' button.")
+    st.markdown('---')
     model = load_model()
     labels = load_labels()
     image = load_image()
@@ -47,8 +56,8 @@ def main():
     if result and image is not None:
         st.markdown('**_Calculating results..._**')
         flower, closeness = predict(model, labels, image)
-        st.markdown(f'<h3 style="color:blue;">Flower Type: <span style="color:black;">{flower}</span></h3>', unsafe_allow_html=True)
-        st.markdown(f'<h3 style="color:green;">Closeness: <span style="color:black;">{closeness}%</span></h3>', unsafe_allow_html=True)
+        st.markdown(f'<h4 style="color:blue;">Flower Type: <span style="color:black;">{flower}</span></h4>', unsafe_allow_html=True)
+        st.markdown(f'<h4 style="color:green;">Closeness: <span style="color:black;">{closeness}%</span></h4>', unsafe_allow_html=True)
 
 if __name__ == '__main__':
     main()