Update app.py

app.py

@@ -1,7 +1,9 @@
 import gradio as gr
-from transformers import pipeline
+from transformers import pipeline, BertTokenizer, BertModel
 
-unmasker = pipeline('fill-mask', model='bert-large-uncased')
+tokenizer = BertTokenizer.from_pretrained('bert-large-uncased')
+model = BertModel.from_pretrained("bert-large-uncased")
+unmasker = pipeline('fill-mask', model=model, tokenizer=tokenizer)
 
 def fill_mask(sentence):
     masked_sentence = sentence.replace("[MASK]", unmasker.tokenizer.mask_token)
@@ -11,4 +13,4 @@ def fill_mask(sentence):
 inputs = gr.inputs.Textbox(label="Enter a sentence with a masked word")
 outputs = gr.outputs.Textbox(label="Predicted sequences")
 
-gr.Interface(fn=fill_mask, inputs=inputs, outputs=outputs).launch()
+gr.Interface(fn=fill_mask, inputs=inputs, outputs=outputs).launch(share=true)