see if error comes from compute

app.py

@@ -19,22 +19,25 @@ 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: tuple[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}"
+#     f"Your metrics are as follows: \n {outputs}"
+
+def compute():
+    pass
 
 space = gr.Interface(
     fn=compute,
     inputs=[
         gr.Dataframe(
-        headers=list(feature_names),
+        headers=feature_names,
         col_count=len(feature_names),
         row_count=5,
         datatype=json_to_string_type(gradio_input_types),