Update app.py

app.py

@@ -19,6 +19,25 @@ st.title("Text Classification and Excel Processing App")
 # File upload for Excel file
 uploaded_file = st.file_uploader("Upload an Excel file", type=["xlsx"])
 
+
+import base64
+
+def get_binary_file_downloader_link(file_data, file_name, link_text):
+    """
+    Generates a link to download a file.
+    
+    Parameters:
+    - file_data: The data you want to make available for download.
+    - file_name: The name of the file when downloaded.
+    - link_text: The text to display for the download link.
+    
+    Returns:
+    - A Streamlit markdown link for downloading the file.
+    """
+    b64 = base64.b64encode(file_data.to_excel(index=False, engine='xlsxwriter')).decode()
+    href = f'<a href="data:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;base64,{b64}" download="{file_name}">{link_text}</a>'
+    return href
+
 def pre_processing(data_frame):
 
     # Lowercase all characters
@@ -117,8 +136,9 @@ if uploaded_file is not None:
 
     st.dataframe(excel_data)  # Display the processed data
 
-    # Add a link to download the processed data
-    st.markdown(get_binary_file_downloader_link(excel_data, 'my_processed_file.xlsx', 'Download Processed Data'), unsafe_allow_html=True)
+
+    link = get_binary_file_downloader_link(excel_data, 'my_processed_file.xlsx', 'Download Processed Data')
+    st.markdown(link, unsafe_allow_html=True)
 
 
     # Create a new Excel file with the processed data