tweak

app.py

@@ -12,7 +12,7 @@ classifier = pipeline('text-classification', model = model, tokenizer=tokenizer,
 clf = lambda x: sorted(classifier(x)[0], key=lambda y: y['score'], reverse=True)
 gr_labels = lambda list_of_dicts: {d['label']: d['score'] for d in list_of_dicts}
 
-compose = lambda x: gr_labels(clf(x))
+compose = lambda description: gr_labels(clf(description))
 
 demo = gr.Interface(fn=compose, inputs="text", outputs=gr.outputs.Label(num_top_classes=5))