add return method

app.py

@@ -30,7 +30,7 @@ def compute(input_df: pd.DataFrame, method: str):
     metric.add_batch(predictions=predicted, references=references)
     outputs = metric.compute()
 
-    f"Your metrics are as follows: \n {outputs}"
+    return f"Your metrics are as follows: \n {outputs}"
 
 space = gr.Interface(
     fn=compute,
@@ -44,7 +44,7 @@ space = gr.Interface(
         gr.Radio(
             ["weighted", "micro", "macro", "None", "binary"], 
             label="Averaging Method", 
-            info="Method for averaging the F1 score across labels. `Binary` only works if you are evaluating a binary classification model."
+            info="Method for averaging the F1 score across labels. \n `binary` only works if you are evaluating a binary classification model."
         )
     ],
     outputs=gr.Textbox(label=metric.name),