Upload app.py
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app.py
CHANGED
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@@ -33,7 +33,6 @@ insurance_charge_predictor = joblib.load('model.joblib')
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#numeric_features = ['age', 'bmi', 'children']
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#categorical_features = ['sex', 'smoker', 'region']
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age_input = gr.Number(label="Age")
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age_input = gr.Number(label="Age")
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bmi_input = gr.Number(label="BMI")
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children_input = gr.Number(label="Children")
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@@ -42,7 +41,7 @@ children_input = gr.Number(label="Children")
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# smoker: ['yes' 'no']
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# region: ['southwest' 'southeast' 'northwest' 'northeast']
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sex_input = gr.Dropdown(['female','male'],label='
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smoker_input = gr.Dropdown(['yes','no'],label='Smoker')
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region_input = gr.Dropdown(['southwest', 'southeast', 'northwest', 'northeast'],label='Region')
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#numeric_features = ['age', 'bmi', 'children']
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#categorical_features = ['sex', 'smoker', 'region']
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age_input = gr.Number(label="Age")
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bmi_input = gr.Number(label="BMI")
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children_input = gr.Number(label="Children")
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# smoker: ['yes' 'no']
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# region: ['southwest' 'southeast' 'northwest' 'northeast']
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sex_input = gr.Dropdown(['female','male'],label='Sex')
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smoker_input = gr.Dropdown(['yes','no'],label='Smoker')
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region_input = gr.Dropdown(['southwest', 'southeast', 'northwest', 'northeast'],label='Region')
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