Update app.py

app.py

@@ -5,38 +5,33 @@ from sklearn import tree
 
 import gradio as gr
 
+# Load the Random Forest CLassifier model
+filename = 'model.pkl'
+loaded_model = pickle.load(open(filename, 'rb'))
+print(loaded_model)
+
 
 def multiline(textData):
         print("inp", textData)
         col=["HighBP","HighChol","CholCheck","BMI","Smoker","Stroke","HeartDiseaseorAttack","PhysActivity","Fruits"
         ,"Veggies","HvyAlcoholConsump","AnyHealthcare","NoDocbcCost","GenHlth","MentHlth","PhysHlth","DiffWalk"
         ,"Sex","Age","Education","Income"]
-        empty_array = []
+        #empty_array = []
+        empty_array = np.empty((0, 21), float)
         for line in textData.split("\n"):
           abc = list(map(float, line.split(",")));
           print(abc)
-          empty_array = np.append(empty_array, np.array([abc]), axis=0)      
+          empty_array = np.append(empty_array, np.array([abc]), axis=0)   
+        print("empty_array")   
         print(empty_array)
         ddf = pd.DataFrame(empty_array, columns=col)
+        print("ddf")
         print(ddf)
 
-        print(loaded_model.predict(ddf))
+        #print(loaded_model.predict(ddf))
         return ddf
 
 
-
-
-
-
-
-
-
-# Load the Random Forest CLassifier model
-filename = 'model.pkl'
-loaded_model = pickle.load(open(filename, 'rb'))
-print(loaded_model)
-
-
 def predict2(content):
         multiple_records = multiline(content)