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Upload app.py
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app.py
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import joblib
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import pandas as pd
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import streamlit as st
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model = joblib.load('dia1.joblib')
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def main():
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st.title("💀Predicting Diabetes💀")
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with st.form("questionaire"):
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Pregnancies = st.slider('Pregnancy:',min_value=0,max_value=10)
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Age = st.slider('Age:',min_value=0,max_value=100)
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Glucose = st.number_input('Glucose')
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BloodPressure = st.number_input('BloodPressure(mm Hg)')
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SkinThickness = st.number_input('SkinThickness(mm)')
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Insulin = st.number_input('Insulin(mu U/ml)')
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Weight = st.number_input('Weight(kg)')
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Height = st.number_input('Height(cm)')
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# clicked==True only when the button is clicked
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clicked = st.form_submit_button("Predict Diabetes")
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if clicked:
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result=model.predict(pd.DataFrame({"Pregnancies": [Pregnancies],
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"Glucose": [Glucose],
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"BloodPressure": [BloodPressure],
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"SkinThickness": [SkinThickness],
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"Insulin": [Insulin],
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"BMI": [Weight / (Height/100)**2],
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"Age": [Age]}))
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result2=model.predict_proba(pd.DataFrame({"Pregnancies": [Pregnancies],
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"Glucose": [Glucose],
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"BloodPressure": [BloodPressure],
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"SkinThickness": [SkinThickness],
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"Insulin": [Insulin],
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"BMI": [Weight / (Height/100)**2],
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"Age": [Age]}))
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# Show prediction
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#sen = 'You have diabetes' if result[0]==1 else "You don't have diabetes"
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if result[0]==1:
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sen = (f'You have diabetes with a probability = {round(result2[0][1]*100,2)}%')
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else :
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sen = (f'You do not have diabetes with a probability = {round(result2[0][0]*100,2)}%')
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st.success(sen)
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# Run main()
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if __name__ == '__main__':
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main()
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