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import streamlit as st
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import torch
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import transformers
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@st.cache
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def load_model_n_tokenizer():
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model = torch.load('pytorch_model.bin')
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tknzer = transformers.RobertaTokenizer('distilroberta-base')
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return model, tknzer
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model, tokenizer = load_model_n_tokenizer()
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st.markdown('### Hello, world!')
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title = st.text_input('Enter title')
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desc = st.text_input('Enter description')
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st.markdown(title)
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st.markdown(desc)
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text = title + ' ' + desc
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tokenized = tokenizer(text, padding = True, truncation = True)
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with torch.no_grad():
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st.markdown(model(tokenized))
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