Delete gradio/process.py

gradio/process.py

@@ -1,32 +0,0 @@
-import pandas as pd
-import gradio as gr
-
-
-def get_lat_lon(postcodes_df, postcode_mapping):
-
-    try:
-    
-        postcode_mapping.rename(columns={'postcode': 'Postal code'}, inplace=True)
-
-        # Normalize postcodes to ensure matching and count occurrences
-        postcodes_df['Postal code'] = postcodes_df['Postal code'].str.lower().str.replace(' ', '')
-        postcode_counts = postcodes_df['Postal code'].value_counts().reset_index()
-        postcode_counts.columns = ['Postal code', 'count']
-        
-        # Normalize the postcodes in the mapping DataFrame
-        postcode_mapping['Postal code'] = postcode_mapping['Postal code'].str.lower().str.replace(' ', '')
-        
-        # Merge the counts with the mapping data
-        result_df = pd.merge(postcode_counts, postcode_mapping, on='Postal code', how='left')
-        
-        # Fill NaN values for latitude and longitude where postcode was not found in the mapping
-        result_df['latitude'] = result_df['latitude'].fillna('')
-        result_df['longitude'] = result_df['longitude'].fillna('')
-        
-        # Optionally, convert the DataFrame to a dictionary if needed, or work directly with the DataFrame
-        results = result_df.to_dict(orient='records')
-    
-    except: 
-        raise gr.Error('Make sure your file contains the postal codes under a column named "Postal code"')
-    
-    return results