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import streamlit as st |
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import datasets |
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humaneval_v_data = datasets.load_from_disk("humaneval_v_test_hf") |
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st.set_page_config(layout="wide", page_title="HumanEval-V Viewer") |
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st.markdown("---") |
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max_index = 108 |
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if 'index' not in st.session_state: |
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st.session_state.index = 1 |
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buttons = st.columns([2, 1.1, 5.9]) |
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with buttons[0]: |
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st.markdown("# HumanEval-V Viewer") |
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with buttons[1]: |
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index_input = st.number_input( |
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f"Go to index (1-{max_index}):", |
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min_value=1, |
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max_value=108, |
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value=st.session_state.index, |
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key="index_input", |
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help="Enter an index and jump to that index.", |
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step=1 |
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) |
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coding_task = humaneval_v_data[index_input-1] |
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qid = coding_task["qid"] |
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image = coding_task["image"] |
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function_signature = coding_task["function_signature"] |
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ground_truth = coding_task["ground_truth_solution"] |
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test_script = coding_task["test_script"] |
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upper_columns = st.columns([2, 7]) |
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with upper_columns[0]: |
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st.markdown(f"### Question ID: {qid}") |
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st.image(image, use_column_width=True) |
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st.markdown("---") |
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with upper_columns[1]: |
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st.markdown(f"### Function Signature:") |
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st.markdown(f"") |
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st.markdown(f"""```python |
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{function_signature} |
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```""") |
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st.markdown(f"### Test Script:") |
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st.markdown(f"") |
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st.markdown(f"""```python |
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{test_script} |
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```""") |
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st.markdown(f"### Ground Truth Solution:") |
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st.markdown(f"") |
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st.markdown(f"""```python |
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{ground_truth} |
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```""") |