Update app.py

app.py

@@ -82,13 +82,13 @@ def process_files(specialty_codes, specific_state='MN'):
     file_to_process = f'./{specific_state}.csv' if use_specific_state else state_files
     
     for file in [file_to_process] if use_specific_state else state_files:
-        state_df = pd.read_csv(file, header=0)  # Assuming no header for simplicity
-        #state_df = pd.read_csv(file, header=None)  # Assuming no header for simplicity
+        #state_df = pd.read_csv(file, header=0)  # Assuming no header for simplicity
+        state_df = pd.read_csv(file, header=None)  # Assuming no header for simplicity
         #state_df = pd.read_csv(file, header=0)  # Assuming no header for simplicity
         
         for code in specialty_codes:
-            #filtered_df = state_df[state_df[47].isin([code])]  # Match against 48th column, adjust as needed
-            filtered_df = state_df[state_df['ProviderBusinessPracticeLocationAddressStateName'].isin([code])]  # Match against 48th column, adjust as needed
+            filtered_df = state_df[state_df[47].isin([code])]  # Match against 48th column, adjust as needed
+            #filtered_df = state_df[state_df['ProviderBusinessPracticeLocationAddressStateName'].isin([code])]  # Match against 48th column, adjust as needed
             if not filtered_df.empty:
                 # Enhance the display to include 'Code', 'Grouping', and 'Classification' information
                 display_info = specialties[specialties['Code'] == code][['Code', 'Grouping', 'Classification']].iloc[0].to_dict()