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Update app.py
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app.py
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@@ -8,14 +8,16 @@ import gradio as gr
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# Load dataset
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df = pd.read_csv("expanded_test_score_dataset_filled.csv")
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#
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feature_cols = [
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"Weighted_GPA", "Term_GPA", "Class_Grade",
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"Field_Average_Percent", "Category_Weight", "Category_Average",
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"Study_Quality", "Study_Hours", "HW_Hour", "ECS", "Confidence",
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"Procrastination", "Participation", "Attendance",
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"Teacher_Experience", "Workday_Positivity", "Incentive", "Field_Proficiency"
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]
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# Make sure columns are numeric
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for col in feature_cols:
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# Load dataset
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df = pd.read_csv("expanded_test_score_dataset_filled.csv")
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# Normalize column names
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df.columns = df.columns.str.strip().str.replace(" ", "_").str.replace("-", "_")
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# Define features
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feature_cols = [
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"Weighted_GPA", "Term_GPA", "Class_Grade",
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"Field_Average_Percent", "Category_Weight", "Category_Average",
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"Study_Quality", "Study_Hours", "HW_Hour", "ECS", "Confidence",
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"Procrastination", "Participation", "Attendance",
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"Teacher_Experience", "Workday_Positivity", "Incentive", "Field_Proficiency"
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# Make sure columns are numeric
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for col in feature_cols:
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