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Upload app.py
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app.py
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@@ -5,7 +5,7 @@ import spacy
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import streamlit as st
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from happytransformer import HappyTextToText, TTSettings
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from highlighter import
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checkpoints = [
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"aseifert/t5-base-jfleg-wi",
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@@ -33,21 +33,6 @@ def get_annotator(lang: str):
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return errant.load(lang)
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def output(model, args, annotator, input_text):
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with st.spinner("Checking for errors π"):
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prefixed_input_text = "Grammar: " + input_text
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result = model.generate_text(prefixed_input_text, args=args).text
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try:
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show_highlights(annotator, input_text, result)
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st.write("")
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st.success(result)
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# st.table(show_edits(annotator, input_text, result))
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except Exception as e:
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st.error("Some error occured!" + str(e))
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st.stop()
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def main():
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st.title("π€ Writing Assistant")
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st.markdown(
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@@ -70,15 +55,26 @@ def main():
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start = None
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if st.button("βοΈ Check"):
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start = time.time()
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st.write("---")
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st.markdown(
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)
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st.markdown(
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)
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if start is not None:
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st.text(f"prediction took {time.time() - start:.2f}s")
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import streamlit as st
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from happytransformer import HappyTextToText, TTSettings
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from highlighter import show_highlights
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checkpoints = [
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"aseifert/t5-base-jfleg-wi",
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return errant.load(lang)
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def main():
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st.title("π€ Writing Assistant")
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st.markdown(
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start = None
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if st.button("βοΈ Check"):
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start = time.time()
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with st.spinner("Checking for errors π"):
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prefixed_input_text = "Grammar: " + input_text
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result = model.generate_text(prefixed_input_text, args=args).text
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try:
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show_highlights(annotator, input_text, result)
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st.write("")
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st.success(result)
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except Exception as e:
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st.error("Some error occured!" + str(e))
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st.stop()
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st.write("---")
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st.markdown(
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"Built by [@aseifert](https://twitter.com/therealaseifert) during the HF community event β π¨\u200dπ» [GitHub repo](https://github.com/aseifert/hf-writing-assistant) β π€ Team Writing Assistant"
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)
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st.markdown(
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"_Highlighting code thanks to [Gramformer](https://github.com/PrithivirajDamodaran/Gramformer)_"
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)
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if start is not None:
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st.text(f"prediction took {time.time() - start:.2f}s")
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