fixing model with eval on deployment
Browse files- README.md +10 -0
- main_deploy.py +1 -0
README.md
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@@ -1,3 +1,13 @@
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# Idiomify
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[](https://share.streamlit.io/eubinecto/idiomify/issue_2/main_deploy.py)
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---
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title: Idiomify demo
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emoji: ✍️
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colorFrom: yellow
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colorTo: orange
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sdk: streamlit
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app_file: main_deploy.py
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pinned: false
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---
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# Idiomify
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[](https://share.streamlit.io/eubinecto/idiomify/issue_2/main_deploy.py)
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main_deploy.py
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@@ -21,6 +21,7 @@ def fetch_resources() -> Tuple[dict, Idiomifier, BartTokenizer, List[str]]:
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def main():
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# fetch a pre-trained model
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config, model, tokenizer, idioms = fetch_resources()
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pipeline = Pipeline(model, tokenizer)
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st.title("Idiomify Demo")
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st.markdown(f"Author: `Eu-Bin KIM`")
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def main():
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# fetch a pre-trained model
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config, model, tokenizer, idioms = fetch_resources()
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model.eval()
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pipeline = Pipeline(model, tokenizer)
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st.title("Idiomify Demo")
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st.markdown(f"Author: `Eu-Bin KIM`")
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