Update app.py

app.py

@@ -131,7 +131,7 @@ def process_data(uploaded_file):
         steps_remaining = total_steps - step_count
         if step_count > 1:
             estimated_time_remaining = (elapsed_time / step_count) * steps_remaining
-            estimated_time_remaining_text.write(f'Estimated Time Remaining: {estimated_time_remaining:.0f} seconds (step {step_count+1} of 8)')
+            estimated_time_remaining_text.write(f'Estimated Time Remaining: {estimated_time_remaining:.0f} seconds (step {step_count+1} of 9)')
         else:
             estimated_time_remaining_text.write('Calculating time remaining...')
 
@@ -151,6 +151,19 @@ def process_data(uploaded_file):
 
 # Streamlit app
 st.title('MAF Application Pre-Filtering Tool')
+
+with st.expander("ℹ️ - About this app", expanded=False):
+    st.write(
+        """
+        This tool provides an interface for running an automated preliminary assessment of applications to the MAF call for applications.
+
+        The tool functions by running selected text fields from the application through a series of 8 LLMs fine-tuned for text classification (ref. diagram below).
+        The resulting output classifications are used to compute a score and a suggested pre-filtering action. The tool has been tested against 
+        human assessors with an extremely low false negative rate (<6%).
+        
+        """)
+    st.image('pipeline.png')
+
 uploaded_file = st.file_uploader("Choose a file")