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import streamlit as st
import pandas as pd
import pickle
import plotly.express as px
# Load the model you already created...
model = pickle.load( open('models/model.pkl', 'rb') )
# Begin user inputs
# Get fare
fare = st.slider('Select passenger fare', 0, 99)
print(fare)
# Get Sex
sex_male = st.radio('Pick passenger sex', ['Male', 'Female'])
# Button to start prediction, Once make_prediction button is clicked...
make_prediction = st.button('Submit and make prediction.')
print('make prediction is set to:', make_prediction)
# Once make_prediction button is clicked... the code below will run.
if make_prediction == True:
if sex_male == 'Male':
sex_male_int = 1
else:
sex_male_int = 0
# put the variables into a list in the same order as the model expects them in.
to_predict = [fare, sex_male_int]
# make a prediction
prediction = model.predict( [to_predict] )
# get the predicted probability
prediction_proba = model.predict_proba([to_predict])
# debugging help
print(prediction_proba)
# extract the predicted value.
value = prediction[0]
# if it predicts zero, then make output 'Death' else 'Survived'
# also get the predicted probability
if value == 0:
pred_output = 'Death'
pred_proba = prediction_proba[0][0].round(2) * 100
else:
pred_output = 'Survival'
pred_proba = prediction_proba[0][1].round(2) * 100
# Generate output text
output_text = '## Predicted a ' + '%' + '**%s chance of %s** \n\n based on the input of %s' % (pred_proba, pred_output, str(to_predict))
# Display the users input variables back to them.
st.markdown(output_text)
st.markdown('Fare='+str(fare))
st.markdown('Sex='+sex_male)
st.balloons() |