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import streamlit as st
from typing import OrderedDict
from src.features.build_features import initialise_data
from src.models.xgboost_model import xgboost_class
from src.models.logistic_model import logistic_class
from src.models.util_model_comparison import model_comparison_view
from src.models.util_strategy_table import strategy_table_view
def main():
st.write("Source code: https://github.com/pkiage/tool-credit-risk-modelling")
currency_options = ["USD", "KES", "GBP"]
model_options = ["XGBoost", "Logistic"]
currency = st.sidebar.selectbox(
label="What currency will you be using?", options=currency_options
)
st.title("GUI for Credit Risk Modelling")
st.title("Data")
(_dataset, split_dataset) = initialise_data()
st.title("Modelling")
models_selected_list = st.sidebar.multiselect(
label="Select model", options=model_options, default=model_options
)
models_selected_set = set(models_selected_list)
model_classes = OrderedDict()
if "Logistic" in models_selected_set:
logistic_model_class = logistic_class(split_dataset, currency)
model_classes["Logistic"] = logistic_model_class
if "XGBoost" in models_selected_set:
xgboost_model_class = xgboost_class(split_dataset, currency)
model_classes["XGBoost"] = xgboost_model_class
model_comparison_view(split_dataset, model_classes)
strategy_table_view(currency, model_classes)
if __name__ == "__main__":
main()
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