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import streamlit as st, pandas as pd, numpy as np, folium, re, time | |
from typing import List, Dict, Any | |
from streamlit_folium import st_folium | |
st.set_page_config(page_title="Illinois Dispensary Deals Intelligence", layout="wide") | |
st.title("Illinois Dispensary Deals Intelligence") | |
st.caption("Interactive Illinois map with owner labels, live/placeholder deals, whitespace analytics, and suggestions.") | |
# ---------------- Mock data ---------------- | |
data = [ |
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# Illinois Dispensary Analytics App (Streamlit) | |
# To deploy instantly, follow these steps: | |
# 1. On your computer or phone, go to https://share.streamlit.io | |
# 2. Sign in with GitHub and create a new app. | |
# 3. Use this repo: your-github-username/IL_Dispensary_Analytics_App | |
# 4. Main file path: app.py | |
# This gist contains the complete project files encoded as plain text. | |
# Step A — Create a new GitHub repository named IL_Dispensary_Analytics_App |