Format the output

app.py

@@ -1,3 +1,5 @@
+from pprint import pformat
+
 import spacy
 import gradio as gr
 from textacy import preprocessing
@@ -17,7 +19,7 @@ preprocessor = preprocessing.make_pipeline(
 def classify(input_text):
     processed_input = preprocessor(input_text)
     ea_output = ea_nlp(processed_input)
-    return str(sorted(ea_output.cats.items(), key=lambda x: x[1], reverse=True))
+    return pformat(sorted(ea_output.cats.items(), key=lambda x: x[1], reverse=True))
 
 
 iface = gr.Interface(