Update appv0.4

app.py

@@ -10,10 +10,10 @@ def lyrics_categories(input_text):
   inputs = tokenizer(input_text, return_tensors="pt")
   outputs = model(**inputs)
   predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)
-	predictions = predictions.detach().numpy()[0]
-	predictions = predictions * 100
-	index_sorted = np.argsort(predictions)
-	clean_outputs = {label[idx]:predictions[idx] for idx in index_sorted}
+  predictions = predictions.detach().numpy()[0]
+  predictions = predictions * 100
+  index_sorted = np.argsort(predictions)
+  clean_outputs = {label[idx]:predictions[idx] for idx in index_sorted}
   return clean_outputs
  
 iface = gr.Interface(fn=lyrics_categories,