updated app

app.py

@@ -26,9 +26,9 @@ def preprocess_data(data):
     feature_names = numerical_cols + list(preprocessor.named_transformers_['cat'].get_feature_names_out(categorical_cols))
     return pd.DataFrame(processed_data, columns=feature_names)
 
-def process_manual_input(**inputs):
-    # Create a DataFrame for a single patient from inputs
-    input_data = pd.DataFrame([inputs])
+def process_manual_input(**kwargs):
+    # Create a DataFrame for a single patient from keyword arguments
+    input_data = pd.DataFrame([kwargs])
     
     # Preprocess the data
     processed_data = preprocess_data(input_data)