changes to UI text

app.py

@@ -47,32 +47,32 @@ def main():
             st.session_state['df'] = None
 
         # Main Streamlit app
-        st.title('MAF Application Pre-Filtering Tool')
+        st.title('Application Pre-Filtering Tool')
 
         # Sidebar (filters)
         with st.sidebar:
             with st.expander("ℹ️ - Instructions", expanded=False):
                 st.markdown(
                     """
-                    1. **Download the Excel Template file (below).**
-                    2. **[OPTIONAL]: Select the desired filtering sensitivity level (below).**
-                    3. **Copy/paste the requisite application data in the template file. Best practice is to 'paste as values'.**
-                    4. **Upload the template file in the area to the right (or click browse files).**
+                    1. **Download the Excel Template file (below)**
+                    2. **[OPTIONAL]: Select the desired filtering sensitivity level (below)**
+                    3. **Copy/paste the requisite application data in the template file. Best practice is to 'paste as values'**
+                    4. **Upload the template file in the area to the right (or click browse files)**
+                    5. **Click 'Start Analysis'**
 
-                    The tool will immediately start processing the uploaded application data. This can take considerable time
-                    depending on the number of applications and the length of text in each. For example, a file with 500 applications
-                    could be expected to take approximately 20 minutes.
+                    The tool will start processing the uploaded application data. This can take some time
+                    depending on the number of applications and the length of text in each. For example, a file with 1000 applications
+                    could be expected to take approximately 5 minutes.
 
                     ***NOTE (1)** -  you can also simply rename the column headers in your own file. The headers must match the column names in the template for the tool to run properly.*
 
-                    ***NOTE (2)** - as of April 2024 this app running as a **test version**, NOT on a GPU. So the process can take up to 30 minutes for 20 applications.*
                     """
                 )
             # Excel file download
             st.download_button(
                 label="Download Excel Template",
                 data=create_excel(),
-                file_name="MAF_upload_template.xlsx",
+                file_name="upload_template.xlsx",
                 mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
             )
 
@@ -99,7 +99,7 @@ def main():
         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.
+                This tool provides an interface for running an automated preliminary assessment of applications for a call for applications.
 
                 The tool functions by running selected text fields from the application through a series of 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 
@@ -108,7 +108,7 @@ def main():
                 """)
             st.image('images/pipeline.png')
 
-        uploaded_file = st.file_uploader("Select a file containing MAF application pre-filtering data (see instructions in the sidebar)")
+        uploaded_file = st.file_uploader("Select a file containing application pre-filtering data (see instructions in the sidebar)")
 
         # Add session state variables if they don't exist
         if 'show_button' not in st.session_state: