Update app.py

app.py

@@ -112,8 +112,7 @@ df = pd.read_csv(url)
 df.drop(columns=['_id', 'Case Number', 'Delegated Controlled Substance Schedule'], inplace=True)
 
 # Handling missing data
-df['Middle'].fillna('N/A', inplace=True)
-df.dropna(subset=['License Number', 'First Name', 'Last Name', 'Effective Date', 'Expiration Date', 'City', 'Zip', 'County', 'Specialty/Qualifier', 'Controlled Substance Schedule', 'Action'], inplace=True)
+df.dropna(subset=['License Number', 'First Name', 'Middle' , 'Last Name', 'Effective Date', 'Expiration Date', 'City', 'Zip', 'County', 'Specialty/Qualifier', 'Controlled Substance Schedule', 'Action'], inplace=True)
 
 # Converting date columns to datetime format
 df['Original Issue Date'] = pd.to_datetime(df['Original Issue Date'], errors='coerce', format='%m/%d/%Y')