renaming

app.py

@@ -328,7 +328,7 @@ def main():
             # st.write("The framework is built on top of kubeflow pipelines and abstracts all the complexity of efficient storing and moving of large datasets, so you can focus on implemented just that piece of code that you need without worrying about the rest. We also build it to run on each Cloud provider or VM. You can find the code on our github page: https://github.com/ml6team/fondant.")
 
         st.write("### Testing images")
-        st.write("If you don't have any pictures close, you can use one of these images to test the model:")
+        st.write("If you don't have any pictures close, you can use one of these images to test the model by clicking on the 'use example X' buttons")
         
         st.session_state['example_image_0'] = Image.open("content/example_0.png")
         st.session_state['example_image_1'] = Image.open("content/example_1.jpg")
@@ -354,10 +354,11 @@ def main():
             if st.button("Use example 4"):
                 move_image('example_image_3', 'initial_image', remove_state=True, rerun=True)
         
-        st.write("## Generated examples")
-        make_image_row(Image.open("content/output_1.png"), Image.open("content/regen_example.png"))
-        make_image_row(Image.open("content/keep background 2.png"), Image.open("content/output_0.png"))
-        make_image_row(Image.open("content/segmentation window.png"), Image.open("content/output_3.png"))
+        with st.expander("Generated examples", expanded=True):
+            st.write("## Generated examples")
+            make_image_row(Image.open("content/output_1.png"), Image.open("content/regen_example.png"))
+            make_image_row(Image.open("content/keep background 2.png"), Image.open("content/output_0.png"))
+            make_image_row(Image.open("content/segmentation window.png"), Image.open("content/output_3.png"))
 
     else:
         make_prompt_row()