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import streamlit as st |
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from datasets import load_dataset |
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st.title("Code Arena") |
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with st.spinner("Loading data...", show_time=True): |
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ds = load_dataset("Elfsong/leetcode_data", split='train') |
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tab_problem, tab_submission, tab_model = st.tabs(["Problems", "Submissions", "Models"]) |
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@st.dialog("Problem Submission") |
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def problem_submission(item): |
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st.write(f"Why is {item['problem_id']} your favorite?") |
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with tab_problem: |
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df = pd.DataFrame( |
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{ |
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"name": ["Roadmap", "Extras", "Issues"], |
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"url": ["https://roadmap.streamlit.app", "https://extras.streamlit.app", "https://issues.streamlit.app"], |
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"stars": [random.randint(0, 1000) for _ in range(3)], |
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"views_history": [[random.randint(0, 5000) for _ in range(30)] for _ in range(3)], |
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} |
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) |
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st.dataframe( |
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df, |
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column_config={ |
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"name": "App name", |
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"stars": st.column_config.NumberColumn( |
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"Github Stars", |
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help="Number of stars on GitHub", |
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format="%d ⭐", |
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), |
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"url": st.column_config.LinkColumn("App URL"), |
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"views_history": st.column_config.LineChartColumn( |
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"Views (past 30 days)", y_min=0, y_max=5000 |
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), |
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}, |
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hide_index=True, |
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) |
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with tab_submission: |
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st.header("Submissions") |
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with tab_model: |
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st.header("Models") |
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