Update app file

app.py

@@ -20,21 +20,21 @@ st.title('P&ID Object Detection')
 st.subheader(' Identify valves and pumps with deep learning model ', divider='rainbow')
 st.caption('Developed by Deep Drawings Co.')
 
-col1, col2, col3, col4 = st.columns(4)
+col1, col2, col3 = st.columns(3, gap='large')
 with col1:
     with st.expander('How to use it'):
         st.markdown(
         '''
         1) Upload your P&ID or select example diagrams 📬
-        2) Set Confidence Threshold 📈
-        3) Press to Perform Inference 🚀
-        4) Visualize Model Predictions 🔎
+        2) Set confidence threshold 📈
+        3) Press to perform inference 🚀
+        4) Visualize model predictions 🔎
         '''
         )   
 
 st.write('##')
     
-col1, col2, col3, col4 = st.columns(4, gap='medium')
+col1, col2, col3, col4 = st.columns([1, 2, 2, 1], gap='large')
 with col2:
     st.markdown('##### Input File')
     # set input image by upload
@@ -42,9 +42,9 @@ with col2:
     # set input images from examples
     def radio_func(option):
         option_to_id = {
-            'factory_pid.png' : 'Factory P&ID',
-            'plant_pid.png' : 'Plant P&ID',
-            'processing_pid.png' : 'Processing P&ID',
+            'factory_pid.png' : 'Example N°1',
+            'plant_pid.png' : 'Example N°2',
+            'processing_pid.png' : 'Example N°3',
         }
         return option_to_id[option]
     st.write('##')
@@ -52,7 +52,6 @@ with col2:
         'Or select from example diagrams',
         options = ['factory_pid.png', 'plant_pid.png', 'processing_pid.png'],
         format_func = radio_func,
-        #value = 'factory_pid.png',
     )
 with col3:
     st.markdown('##### Preview')