Visualizing-ML / app.py
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# app.py
import streamlit as st
import runpy
# 1. Page config & title
st.set_page_config(page_title="Machine Learning Models Visualization Hub")
st.title("Machine Learning Models Visualization Tools")
# 2. Map display names → filenames
APPS = {
"Gradient Descent Visualization": "gd_sgd_app.py",
"Decision Tree (step-by-step)": "decision_tree_steps.py",
"Bagging Classifier Visualization": "bagging_classifier_viz.py",
"Bagging Regressor Visualization": "bagging_regressor_viz.py",
"Voting Classifier Visualization": "voting_classifier_viz.py",
"Voting Regressor Visualization": "voting_regressor_viz.py",
}
# 3. Check for query‑param to run one of the apps
params = st.experimental_get_query_params()
selected = params.get("app", [None])[0]
if selected in APPS.values():
# Run the selected Streamlit app in this process
runpy.run_path(selected, run_name="__main__")
else:
# 4. Otherwise show a grid of buttons
cols = st.columns(2)
for idx, (label, fname) in enumerate(APPS.items()):
col = cols[idx % 2]
if col.button(label, key=label):
# set the query‑param and rerun
st.experimental_set_query_params(app=fname)