Update app.py

app.py

@@ -53,11 +53,6 @@ class RNN(nn.Cell):
         output = self.fc(hidden)
         return self.sigmoid(output)
 
-score_map = {
-    1: "Positive",
-    0: "Negative"
-}
-
 def predict_sentiment(model, vocab, sentence):
     model.set_train(False)
     tokenized = sentence.lower().split()
@@ -87,7 +82,7 @@ def prefict_emotion(sentence):
     load_param_into_net(net, param_dict)
     
     # 预测
-    pred = predict_sentiment(net, vocab, sentence)
+    pred = predict_sentiment(net, vocab, sentence).item()
     result = {
             "Positive 🙂": pred,
             "Negative 🙃": 1-pred,