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| import streamlit as st | |
| import spacy | |
| import pandas as pd | |
| import datetime | |
| st.set_page_config(page_title="Parsing Demo", layout="wide") | |
| st.sidebar.header("Parsing Demo") | |
| default_text = """Ita fac, mi Lucili; vindica te tibi, et tempus, quod adhuc aut auferebatur aut subripiebatur aut excidebat, collige et serva.""" | |
| def format_morph(morph): | |
| morph = morph.to_dict() | |
| if morph: | |
| return ", ".join([f"{k}={v}" for k, v in morph.items()]) | |
| else: | |
| return "" | |
| def analyze_text(text): | |
| doc = nlp(text) | |
| rows = [] | |
| for token in doc[:100]: | |
| rows.append( | |
| ( | |
| token.text, | |
| token.norm_, | |
| token.lower_, | |
| token.lemma_, | |
| token.pos_, | |
| token.tag_, | |
| token.dep_, | |
| format_morph(token.morph), | |
| token.ent_type_, | |
| ) | |
| ) | |
| df = pd.DataFrame( | |
| rows, | |
| columns=[ | |
| "text", | |
| "norm", | |
| "lower", | |
| "lemma", | |
| "pos", | |
| "tag", | |
| "dep", | |
| "morph", | |
| "ent_type", | |
| ], | |
| ) | |
| return df | |
| st.title("LatinCy Text Analyzer") | |
| # Using object notation | |
| model_selectbox = st.sidebar.selectbox( | |
| "Choose model:", | |
| ("la_core_web_lg", "la_core_web_md", "la_core_web_sm") | |
| ) | |
| nlp = spacy.load(model_selectbox) | |
| df = None | |
| text = st.text_area( | |
| "Enter some text to analyze (max 100 tokens)", value=default_text, height=200 | |
| ) | |
| if st.button("Analyze"): | |
| df = analyze_text(text) | |
| st.text(f"Analyzed {len(df)} tokens with {model_selectbox} model.") | |
| st.dataframe(df, width=1000) | |
| def convert_df(df): | |
| return df.to_csv(index=False, sep="\t").encode("utf-8") | |
| csv = convert_df(df) | |
| def create_timestamp(): | |
| return datetime.datetime.now().strftime("%Y%m%d%H%M%S") | |
| # nb: clicking this button resets app! Open streamlit issue, as of 4.15.2023; cf. https://github.com/streamlit/streamlit/issues/4382 | |
| st.markdown("*NB: Clicking the download button will reset the app after download!*") | |
| st.download_button( | |
| "Press to Download", | |
| csv, | |
| f"latincy-analysis-{create_timestamp()}.tsv", | |
| "text/csv", | |
| key="download-csv", | |
| ) | |