Update app.py

app.py

@@ -14,7 +14,10 @@ model = joblib.load(model_path)
 # Update predict function to handle new parameters
 def predict(age, sex, cp, trestbps, chol, fbs, restecg, thalach, exang, oldpeak, slope, ca, thal):
     # Create a dataframe with the input data
-    input_df = pd.DataFrame({
+
+  input_df = pd.read_csv("heart.csv") 
+'''    
+ input_df = pd.DataFrame({
         'age': [age],
         'sex': [sex],
         'cp': [cp],
@@ -29,7 +32,7 @@ def predict(age, sex, cp, trestbps, chol, fbs, restecg, thalach, exang, oldpeak,
         'ca': [ca],
         'thal': [thal]
     })
-
+ '''
     # Process input data using the pipeline
     X_processed = pipeline.transform(input_df)