Update app

app.py

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+import streamlit as st
+import spacy
+import pandas as pd
+import datetime
+
+st.set_page_config(layout="wide")
+
+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)
+
+    @st.cache_data
+    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",
+    )

requirements.txt

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+la-core-web-lg @ https://huggingface.co/latincy/la_core_web_lg/resolve/main/la_core_web_lg-any-py3-none-any.whl#sha256=03e29fbaae0bf583610f6c042b874441aa213aee238f2a63f413bb608fe6f100
+la-core-web-md @ https://huggingface.co/latincy/la_core_web_md/resolve/main/la_core_web_md-any-py3-none-any.whl#sha256=6c48e1494a8e892878a5381846fc8b3d7dc1c160b3ae2090098b856aa679bfd4
+la-core-web-sm @ https://huggingface.co/latincy/la_core_web_sm/resolve/main/la_core_web_sm-any-py3-none-any.whl#sha256=0aecb1b9c9974b48b180092ab4e25b3bdba7c4b7b6cd47942e667cb054f07e04
+pandas==1.5.3
+spacy==3.5.2