change input tuple to input list

app.py

@@ -19,19 +19,16 @@ local_path = Path(sys.path[0])
 test_cases = [ {"predictions":[1,2,3,4,5], "references":[1,2,5,4,3]} ] # configure this randomly using randint generator and feature names?
 
 # configure this based on the input type, etc. for launch_gradio_widget
-# def compute(input_df: pd.DataFrame, feature_names: tuple[str]):
+def compute(input_df: pd.DataFrame, feature_names: list[str]):
 
-#     predicted = [int(num) for num in input_df[feature_names[0]].to_list()]
-#     references = [int(num) for num in input_df[feature_names[1]].to_list()]
+    predicted = [int(num) for num in input_df[feature_names[0]].to_list()]
+    references = [int(num) for num in input_df[feature_names[1]].to_list()]
 
-#     metric.add_batch(predictions=predicted, references=references)
+    metric.add_batch(predictions=predicted, references=references)
     
-#     outputs = metric._compute()
+    outputs = metric._compute()
 
-#     f"Your metrics are as follows: \n {outputs}"
-
-def compute():
-    pass
+    f"Your metrics are as follows: \n {outputs}"
 
 space = gr.Interface(
     fn=compute,
@@ -42,7 +39,7 @@ space = gr.Interface(
         row_count=5,
         datatype=json_to_string_type(gradio_input_types),
         ),
-        feature_names
+        list(feature_names)
     ],
     outputs=gr.Textbox(label=metric.name),
     description=(