add others, none

app.py

@@ -68,15 +68,21 @@ def classify(sentence):
 			probability_outputs = torch.sigmoid(outputs).cpu().detach().numpy()
 
 		binary_outputs = (probability_outputs >= 0.5)
-		binary_outputs[np.all(binary_outputs == False, axis=1), -1] = True
+		# binary_outputs[np.all(binary_outputs == False, axis=1), -1] = True
 
 		intents = intents_dict[data_type]
 		predicted_intents = [intent for i, intent in enumerate(intents) if binary_outputs[0][i] == 1]
 
 		if data_type=="user":
-			output += f"User Intents: {predicted_intents}\n"
+			if np.sum(binary_outputs)==0:
+				output += f"User Intents: ['others']\n"
+			else:
+				output += f"User Intents: {predicted_intents}\n"
 		else:
-			output += f"Musical Attributes: {predicted_intents}\n"
+			if np.sum(binary_outputs)==0:
+				output += f"Musical Attributes: ['none']"
+			else:
+				output += f"Musical Attributes: {predicted_intents}\n"
 	return output
 
 title = "User Intents and Musical Attributes Classifier"