Update app

app.py

@@ -15,10 +15,10 @@ model_dir = model.download()
 model = joblib.load(model_dir + "/wine_model.pkl")
 print("Model downloaded")
 
-def wine(_type,fixed_acidity,volatile_acidity,citric_acid,residual_sugar,chlorides,free_sulfur_dioxide,total_sulfur_dioxide,density,pH,sulphates,alcohol,quality):
+def wine(_type,fixed_acidity,volatile_acidity,citric_acid,residual_sugar,chlorides,free_sulfur_dioxide,total_sulfur_dioxide,density,ph,sulphates,alcohol,quality):
     print("Calling function")
-    df = pd.DataFrame([[_type,fixed_acidity,volatile_acidity,citric_acid,residual_sugar,chlorides,free_sulfur_dioxide,total_sulfur_dioxide,density,pH,sulphates,alcohol,quality]], 
-                      columns=['_type','fixed_acidity','volatile_acidity','citric_acid','residual_sugar','chlorides','free_sulfur_dioxide','total_sulfur_dioxide','density','pH','sulphates','alcohol','quality'])
+    df = pd.DataFrame([[_type,fixed_acidity,volatile_acidity,citric_acid,residual_sugar,chlorides,free_sulfur_dioxide,total_sulfur_dioxide,density,ph,sulphates,alcohol,quality]], 
+                      columns=['_type','fixed_acidity','volatile_acidity','citric_acid','residual_sugar','chlorides','free_sulfur_dioxide','total_sulfur_dioxide','density','ph','sulphates','alcohol','quality'])
     print("Predicting")
     print(df)
     # 'res' is a list of predictions returned as the label.
@@ -46,7 +46,7 @@ demo = gr.Interface(
         gr.Number(value=30.0, label="free_sulfur_dioxide"),
         gr.Number(value=115.0, label="total_sulfur_dioxide"),
         gr.Number(value=1.0, label="density"),
-        gr.Number(value=3.0, label="pH"),
+        gr.Number(value=3.0, label="ph"),
         gr.Number(value=0.0, label="sulphates"),
         gr.Number(value=10.0, label="alcohol")
         ],