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import pandas as pd |
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import streamlit as st |
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from inference import inference |
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from inference import DebertaEvaluator |
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st.title("Essay Scoring") |
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categories=['cohesion', 'syntax', 'vocabulary', 'phraseology', 'grammar', 'conventions'] |
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initial_scores = {category: '-' for category in categories} |
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scores_df = pd.DataFrame(initial_scores, index=['Score']) |
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pd.set_option('display.float_format', lambda x: '%0.1f' % x) |
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text = "Here is a sample essay." |
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user_input = st.text_area("Enter your essay here:", value=text) |
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if st.button("Calculate Scores"): |
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scores = inference(user_input) |
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scores = [round(score * 2) / 2 for score in scores[0]] |
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new_table = {categories[i]: scores[i] for i in range(len(categories))} |
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scores_df = pd.DataFrame(new_table, index=['Score']) |
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st.table(scores_df) |
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