Update app.py

app.py

@@ -27,8 +27,8 @@ class SentimentClassifier(nn.Module):
         return self.out(output)
 # load the CNN binary classification model
 model = SentimentClassifier(len(class_names))
-model.load_state_dict(torch.load('model/pytorch_model.bin'))
-tokenizer = BertTokenizer.from_pretrained('./model/')
+model.load_state_dict(torch.load('./pytorch_model.bin'))
+tokenizer = BertTokenizer.from_pretrained('./')
 
 def encode(text):
     encoded_text = tokenizer.encode_plus(