Update app.py

app.py

@@ -180,6 +180,7 @@ expander.write(f'''
     **Named Entities:** This Multilingual PDF & DOCX Entity Finder predicts a wide range of custom labels, including: "Person", "Organization", "Phone number", "Address", "Passport number", "Email", "Credit card number", "Social security number", "Health insurance ID number", "Date of birth", "Mobile phone number", "Bank account number", "Medication", "CPF", "Driver license number", "Tax identification number", "Medical condition", "Identity card number", "National ID number", "IP address", "IBAN", "Credit card expiration date", "Username", "Health insurance number", "Registration number", "Student ID number", "Insurance number", "Flight number", "Landline phone number", "Blood type", "CVV", "Reservation number", "Digital signature", "Social media handle", "License plate number", "CNPJ", "Postal code", "Serial number", "Vehicle registration number", "Credit card brand", "Fax number", "Visa number", "Insurance company", "Identity document number", "Transaction number", "National health insurance number", "CVC", "Birth certificate number", "Train ticket number", "Passport expiration date"
     
     Results are presented in an easy-to-read table, visualized in an interactive tree map, pie chart, and bar chart, and are available for download along with a Glossary of tags.
+    
     **Supported languages:** English, French, German, Spanish, Portuguese, Italian
     
     **How to Use:** Upload your PDF or DOCX file. Then, click the 'Results' button to extract and tag entities in your text data.
@@ -445,3 +446,4 @@ if st.button("Results"):
     st.info(f"Results processed in **{elapsed_time_overall:.2f} seconds**.")
 
 st.write(f"Number of times you requested results: **{st.session_state['file_upload_attempts']}/{max_attempts}**")
+