Update app.py

app.py

@@ -1,5 +1,4 @@
 import math
-import zipfile
 import numpy as np
 
 import gradio as gr
@@ -16,7 +15,7 @@ from mindspore.common.initializer import Uniform, HeUniform
 def load_glove():
     embeddings = []
     tokens = []
-    with open("./lstm/glove.6B.100d.txt", encoding='utf-8') as gf:
+    with open("./glove.6B.100d.txt", encoding='utf-8') as gf:
         for glove in gf:
             word, embedding = glove.split(maxsplit=1)
             tokens.append(word)
@@ -82,14 +81,13 @@ def prefict_emotion(sentence):
     net = RNN(embeddings, hidden_size, output_size, num_layers, bidirectional, dropout, pad_idx)
     
     # 将模型参数存入parameter的字典中
-    param_dict = load_checkpoint("./lstm/sentiment-analysis.ckpt")
+    param_dict = load_checkpoint("./sentiment-analysis.ckpt")
     
     # 将参数加载到网络中
     load_param_into_net(net, param_dict)
-    model = Model(net)
     
     # 预测
-    pred = predict_sentiment(model, vocab, sentence)
+    pred = predict_sentiment(net, vocab, sentence)
     result = {
             "Positive 🙂": pred,
             "Negative 🙃": 1-pred,