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import streamlit as st |
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import transformers |
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import tensorflow |
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from transformers import pipeline |
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model_checkpoint = "Modfiededition/t5-base-fine-tuned-on-jfleg" |
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def load_model(model_name): |
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translator= pipeline("text2text-generation", model=model_checkpoint) |
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return translator |
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translator= load_model(model_checkpoint) |
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default_value = "Write your text here!" |
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st.title("Writing Assistant for you 🦄") |
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sent = st.text_area("Text", default_value, height = 275) |
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generated_sequences = translator(sent) |
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st.write(generated_sequences[-1]) |
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