dev test

app.py

@@ -28,23 +28,25 @@ def predict_risk(file):
             df = pd.read_excel(file.name)
         else:
             return pd.DataFrame({"Error": ["Unsupported file format. Please upload .csv or .xlsx"]})
+
+        print("data loaded")
         
-        # Step A: Extract the first column as Sample_IDs
-        # Handle both named and unnamed first columns
-        first_col_name = df.columns[0]
-        Sample_IDs = df.iloc[:, 0].values
+        # # Step A: Extract the first column as Sample_IDs
+        # # Handle both named and unnamed first columns
+        # first_col_name = df.columns[0]
+        # Sample_IDs = df.iloc[:, 0].values
         
-        # Step B: Extract all other columns as Model_Features (the floats)
-        Model_Features = df[hf_prediction_features].values
+        # # Step B: Extract all other columns as Model_Features (the floats)
+        # Model_Features = df[hf_prediction_features].values
 
-        # Get predictions
-        prediction = predictor.predict(Model_Features)[0]
-        probabilities = predictor.predict_proba(Model_Features).iloc[0].to_dict()
+        # # Get predictions
+        # prediction = predictor.predict(Model_Features)[0]
+        # probabilities = predictor.predict_proba(Model_Features).iloc[0].to_dict()
         
-        return {
-            "prediction": str(prediction),
-            "probabilities": probabilities
-        }
+        # return {
+        #     "prediction": str(prediction),
+        #     "probabilities": probabilities
+        # }
         
         
         # # ---------------------------------------------------------