Delete app.py

app.py

@@ -1,89 +0,0 @@
-import os
-import re
-import pandas as pd
-import plotly.express as px
-import streamlit as st
-
-st.set_page_config(layout="wide")
-DATA_FILE = "data/anthology-2020-23_specter2_base.json"
-THEMES = {"cluster": "fall", "year": "mint", "source": "phase"}
-
-def load_df(data_file: os.PathLike):
-    df = pd.read_json(data_file, orient="records")
-    df["x"] = df["point2d"].apply(lambda x: x[0])
-    df["y"] = df["point2d"].apply(lambda x: x[1])
-    if "publication_type" in df.columns:
-        df["type"] = df["publication_type"]
-        df = df.drop(columns=["point2d", "publication_type"])
-    else:
-        df = df.drop(columns=["point2d"])
-    return df
-
-
-@st.cache_data
-def load_dataframe():
-    return load_df(DATA_FILE)
-
-
-DF = load_dataframe()
-
-with st.sidebar:
-    venues = st.multiselect(
-        "Venues",
-        ["ACL", "EMNLP", "NAACL", "TACL"],
-        ["ACL", "EMNLP", "NAACL", "TACL"],
-    )
-
-    start_year, end_year = st.select_slider(
-        "Publication year", options=("2020", "2021", "2022", "2023"), value=("2020", "2023")
-    )
-    author_names = st.text_input("Author names (separated by comma)")
-
-    title = st.text_input("Title")
-
-    start_year = int(start_year)
-    end_year = int(end_year)
-    df = DF[(DF["year"] >= start_year) & (DF["year"] <= end_year)]
-    if 0 < len(venues) < 4:
-        selected_venues = [v.lower() for v in venues]
-        df = df[df["source"].isin(selected_venues)]
-    elif not venues:
-        st.write(":red[Please select a venue]")
-
-    if author_names:
-        authors = [a.strip() for a in author_names.split(",")]
-        author_mask = df.authors.apply(
-            lambda row: all(any(re.match(rf".*{a}.*", x, re.IGNORECASE) for x in row) for a in authors)
-        )
-        df = df[author_mask]
-
-    if title:
-        df = df[df.title.apply(lambda x: title.lower() in x.lower())]
-
-    st.write(f"Number of points: {df.shape[0]}")
-
-    color = st.selectbox("Color", ("cluster", "year", "source"))
-
-
-fig = px.scatter(
-    df,
-    x="x",
-    y="y",
-    color=color,
-    width=1000,
-    height=800,
-    hover_data=["title", "authors", "year", "source", "type"],
-    color_continuous_scale=THEMES[color],
-)
-fig.update_layout(
-    # margin=dict(l=10, r=10, t=10, b=10),
-    showlegend=False,
-    font=dict(
-        family="Times New Roman",
-        size=30,
-    ),
-)
-fig.update_xaxes(title="")
-fig.update_yaxes(title="")
-
-st.plotly_chart(fig, use_container_width=True)