Upload demo.py

demo.py

@@ -2,14 +2,17 @@ from src.Vocabulary import Vocabulary
 from src.RNNmodel import RNN
 import torch
 import gradio as gr
+import torchtext.vocab as vocab1
 
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 
-word_embedding = vocab.Vectors(name = "word2vec.txt",
+ord_embedding = vocab1.Vectors(name = "word2vec.txt",
                                unk_init = torch.Tensor.normal_)
 
+
 vocab = Vocabulary()
 
+
 words_list = list(word_embedding.stoi.keys())
 for word in words_list:
     vocab.add(word)