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import random
import pandas as pd
import streamlit as st
from datasets import load_dataset
st.title("Code Arena")
if "problem" in st.query_params:
problem_id = st.query_params["problem"]
st.write("Problem Description")
else:
with st.spinner("Loading data...", show_time=True):
ds = load_dataset("Elfsong/leetcode_data", split='train')
tab_problem, tab_submission, tab_model = st.tabs(["Problems", "Submissions", "Models"])
with tab_problem:
df = pd.DataFrame(
{
"name": ["Problem 1", "Problem 2", "Problem 3"],
"url": ["/?problem=1", "https://extras.streamlit.app", "https://issues.streamlit.app"],
"stars": [random.randint(0, 1000) for _ in range(3)],
"views_history": [[random.randint(0, 5000) for _ in range(30)] for _ in range(3)],
}
)
st.dataframe(
df,
column_config={
"name": "Problem",
"stars": st.column_config.NumberColumn(
"Github Stars",
help="Number of stars on GitHub",
format="%d ⭐",
),
"url": st.column_config.LinkColumn("App URL"),
"views_history": st.column_config.LineChartColumn(
"Views (past 30 days)", y_min=0, y_max=5000
),
},
hide_index=True,
)
with tab_submission:
st.header("Submissions")
with tab_model:
st.header("Models")
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