App update

app.py

@@ -14,7 +14,7 @@ inf_session = rt.InferenceSession('news-classifier-quantized.onnx')
 input_name = inf_session.get_inputs()[0].name
 output_name = inf_session.get_outputs()[0].name
 
-def classify_book_genre(Body):
+def classify_news_label(Body):
     input_ids = tokenizer(Body)['input_ids'][:512]
     logits = inf_session.run([output_name], {input_name: [input_ids]})[0]
     logits = torch.FloatTensor(logits)
@@ -22,5 +22,5 @@ def classify_book_genre(Body):
     return dict(zip(genres, map(float, probs)))
 
 label = gr.outputs.Label(num_top_classes=4)
-iface = gr.Interface(fn=classify_book_genre, inputs="text", outputs=label)
+iface = gr.Interface(fn=classify_news_label, inputs="text", outputs=label)
 iface.launch(inline=False)