Update clients.py

clients.py

@@ -11,7 +11,7 @@ import pandas as pd
 import requests
 import os
 import pandas as pd
-
+            
 def add_https_to_urls(df, column_name):
     """
     Adds 'https://' to URLs in the specified column of a DataFrame if they don't already start with a valid protocol.
@@ -204,6 +204,7 @@ def UserSpecificClient(email_receiver):
             df=df[['First Name','Company Name for Emails','Person Linkedin Url','Scrapped Profile','Email']]
         else:
             df=df[['First Name', 'Last Name', 'Title', 'Website','Company Name for Emails','Person Linkedin Url','Email']]
+            df=add_https_to_urls(df, 'Website')
             
         # Convert DataFrame to CSV for transmission
         df = df.dropna().loc[~(df == '').all(axis=1)]  
@@ -296,8 +297,11 @@ def bothFeaturesFunction(email_receiver):
             df=df[['First Name','Person Linkedin Url','Scrapped Profile',"Company Name for Emails","scraped_content","Email"]]
         else:
             df=df[['First Name', 'Last Name', 'Title', 'Person Linkedin Url',"Website","Company Name for Emails","Email"]]
+            df=add_https_to_urls(df, 'Website')
         
         df = df.dropna().loc[~(df == '').all(axis=1)]  
+        try:
+            df=add_https_to_urls(df, 'Website')
         st.write(df)
         # Convert DataFrame to CSV for transmission
         csv = df.to_csv(index=False)
@@ -383,6 +387,7 @@ def BH_Ngo(email_receiver,calendly_link,sender_name):
         else:
             
             columns_to_select = ['First Name', 'Title', 'Person Linkedin Url', "Company Name for Emails", "Domain","Website","Email"]
+            df=add_https_to_urls(df, 'Website')
             if 'Last Name' in df.columns:
                 columns_to_select.insert(1, 'Last Name')  # Insert 'Last Name' at the correct position
             
@@ -391,6 +396,8 @@ def BH_Ngo(email_receiver,calendly_link,sender_name):
             
         # Convert DataFrame to CSV for transmission
         df = df.dropna().loc[~(df == '').all(axis=1)]  
+        try:
+            df=add_https_to_urls(df, 'Website')
         st.write(df)
         csv = df.to_csv(index=False)
 
@@ -481,7 +488,8 @@ def BH_industry(email_receiver,calendly_link,sender_name):
             df = df.drop_duplicates(subset="Website", keep='first')
             df = df.dropna().loc[~(df == '').all(axis=1)]
             
-        df = df.dropna().loc[~(df == '').all(axis=1)]  
+        df = df.dropna().loc[~(df == '').all(axis=1)] 
+        df=add_https_to_urls(df, 'Website')
         st.write(df)    
         # Convert DataFrame to CSV for transmission
         csv = df.to_csv(index=False)