Update app.py

app.py

@@ -14,7 +14,7 @@ import time
 from sentence_transformers import SentenceTransformer
 
 # Create a Streamlit app
-st.title("Text Classification and Excel Processing App")
+st.title("Gallagher : Text Classification and Excel Processing App")
 
 # File upload for Excel file
 uploaded_file = st.file_uploader("Upload an Excel file", type=["xlsx"])
@@ -24,17 +24,6 @@ import base64
 from io import BytesIO
 
 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.
-    """
     # Write the DataFrame to an in-memory Excel file
     excel_buffer = BytesIO()
     file_data.to_excel(excel_buffer, index=False, engine='xlsxwriter')