Update app.py

app.py

@@ -22,8 +22,10 @@ ct = ColumnTransformer(
 )
 
 # Fit it using your training data
-ct.fit(df[['Gender', 'Race (Reported)', 'Cyp2C9 genotypes', 'VKORC1 genotype: -1639 G>A (3673); chr16:31015190; rs9923231; C/T']])
-
+ct.fit(df[['Gender', 'Race (Reported)', 'Age', 'Height (cm)', 'Weight (kg)',
+       'Diabetes', 'Simvastatin (Zocor)', 'Amiodarone (Cordarone)',
+       'INR on Reported Therapeutic Dose of Warfarin', 'Cyp2C9 genotypes',
+       'VKORC1 genotype: -1639 G>A (3673); chr16:31015190; rs9923231; C/T']])
 
 # Assuming 'ct' is your ColumnTransformer (replace this with the actual loading code for your preprocessor)
 # Make sure that 'ct' is properly loaded, or use the same transformation logic here.