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import os
import pandas as pd
import plotly.express as px
import streamlit as st
OPTS = {
"ACL 2022": "data/acl2022_spectre2-base.json",
"ACL 2023": "data/acl2023_spectre2-base.json",
}
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_dataframes():
return {venue: load_df(df_file) for venue, df_file in OPTS.items()}
DFS = load_dataframes()
option = st.selectbox(
'Please select a venue',
('ACL 2022', 'ACL 2023',)
)
external_stylesheets = ["https://codepen.io/chriddyp/pen/bWLwgP.css"]
fig = px.scatter(
DFS[option],
x="x",
y="y",
color="cluster",
width=1200,
height=750,
hover_data=["title", "authors", "year", "source", "type"],
color_continuous_scale="fall",
)
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) |