Rename german_credit_risk/code/processed/gcrisk.py to german_credit_risk/code/processed/app.py

german_credit_risk/code/processed/{gcrisk.py → app.py}

@@ -11,7 +11,7 @@ import gradio as gr
 ## CREATING FUNCTION
 
 def predict_credit_worthiness(name, x1, x2, x3, x4, x5, x6, x7, x8, x9, x10, x11, x12, x13, x14, x15, x16, x17, x18, x19, x20, x21, x22):
-    path =  r'C:\Users\Marcilio Duarte\OneDrive\Documents\Projetos\13 - Portfolio_Github\github\completed\german_credit_risk\model\model.pickle'
+    path =  'german_credit_risk/model/model.pickle'
     greet = 'Hey, ' + name + '!'
     with open(path, 'rb') as file:
         model = pickle.load(file)
@@ -40,10 +40,10 @@ def predict_credit_worthiness(name, x1, x2, x3, x4, x5, x6, x7, x8, x9, x10, x11
                   }
         prediction = model.predict([list(inputs.values())])
         
-    y_test = pd.read_parquet(r'C:\Users\Marcilio Duarte\OneDrive\Documents\Projetos\13 - Portfolio_Github\github\completed\german_credit_risk\data\processed\y_test.parquet')
+    y_test = pd.read_parquet('german_credit_risk/data/processed/y_test.parquet')
     y_test = y_test.squeeze()
 
-    yhat = pd.read_parquet(r'C:\Users\Marcilio Duarte\OneDrive\Documents\Projetos\13 - Portfolio_Github\github\completed\german_credit_risk\data\processed\yhat.parquet')
+    yhat = pd.read_parquet('german_credit_risk/data/processed/yhat.parquet')
     yhat = yhat.squeeze()
     
     precision = precision_score(y_test, yhat).round(2)