Upload 4 files

.gitignore

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+__pycache__/
+*.pyc
+*.pyo
+*.pyd
+.Python
+env/
+venv/
+ENV/
+.ipynb_checkpoints
+*.DS_Store
+*.zip

README.md

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 ---
-title: WNTR GIS
-emoji: 🚀
-colorFrom: red
-colorTo: red
-sdk: docker
-app_port: 8501
-tags:
-- streamlit
+title: WNTR GIS Streamlit
+emoji: 🌐
+colorFrom: blue
+colorTo: green
+sdk: streamlit
+app_file: app.py
 pinned: false
-short_description: Streamlit template space
-license: mit
+tags:
+  - water
+  - wntr
+  - epanet
+  - shapefile
+  - gis
+  - streamlit
 ---
 
-# Welcome to Streamlit!
+# WNTR GIS Streamlit App 🌐
+
+Simulate water networks with EPANET `.inp` files or GIS shapefiles using WNTR and visualize results interactively.
+
+# 🛰️ WNTR GIS Streamlit App
+
+This app allows you to:
+- Upload EPANET `.inp` files and visualize their network structure
+- Convert `.inp` to GIS layers (`GeoDataFrames`)
+- Upload zipped shapefiles (`.shp`) for nodes and links, and simulate them with WNTR
+- Run hydraulic simulations and view pressure results
+
+## 🚀 How to Use
+
+1. Upload an `.inp` file or zipped shapefiles
+2. View the network geometry on a map
+3. If shapefiles are used, WNTR reconstructs the model from GeoDataFrames
+4. Press "Run Simulation" to get results
 
-Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
+## 📦 Dependencies
+
+See `requirements.txt`. This app uses:
+- `streamlit`
+- `wntr`
+- `geopandas`
+- `matplotlib`
+
+## 🛠️ Deployment
+
+This app is ready for Hugging Face Spaces using the **Streamlit** template.
+
+Simply upload:
+- `app.py`
+- `requirements.txt`
+- `README.md`
+
+---
 
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+*Created by Raza Ali – Civil Engineer with focus on water systems modeling.*

app.py

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+
+import streamlit as st
+import wntr
+import geopandas as gpd
+import matplotlib.pyplot as plt
+from io import BytesIO
+import zipfile
+import tempfile
+import os
+
+st.set_page_config(layout="wide")
+st.title("🌐 WNTR GIS Integration App")
+
+uploaded_file = st.file_uploader("Upload EPANET .inp file or zipped shapefiles (.zip)", type=["inp", "zip"])
+
+if uploaded_file:
+    temp_dir = tempfile.mkdtemp()
+    filetype = uploaded_file.name.split('.')[-1].lower()
+
+    if filetype == 'inp':
+        # Load WNTR model
+        with open(os.path.join(temp_dir, uploaded_file.name), "wb") as f:
+            f.write(uploaded_file.read())
+        wn = wntr.network.WaterNetworkModel(os.path.join(temp_dir, uploaded_file.name))
+        node_gdf, link_gdf = wn.to_gis()
+
+        st.subheader("🧩 Network Geometry from INP")
+        st.map(node_gdf.set_geometry("geometry").to_crs(epsg=4326))
+
+        st.download_button("Download Nodes (GeoJSON)", node_gdf.to_json(), file_name="nodes.geojson")
+        st.download_button("Download Links (GeoJSON)", link_gdf.to_json(), file_name="links.geojson")
+
+    elif filetype == 'zip':
+        # Extract shapefiles and load into GeoDataFrames
+        zip_path = os.path.join(temp_dir, uploaded_file.name)
+        with open(zip_path, "wb") as f:
+            f.write(uploaded_file.read())
+
+        with zipfile.ZipFile(zip_path, 'r') as zip_ref:
+            zip_ref.extractall(temp_dir)
+
+        shapefiles = [os.path.join(temp_dir, f) for f in os.listdir(temp_dir) if f.endswith('.shp')]
+        if len(shapefiles) != 2:
+            st.error("Please provide exactly two shapefiles: one for nodes and one for links.")
+        else:
+            node_gdf = gpd.read_file(shapefiles[0])
+            link_gdf = gpd.read_file(shapefiles[1])
+            wn = wntr.network.WaterNetworkModel.from_gis(node_gdf, link_gdf)
+
+            st.subheader("📥 Network Reconstructed from Shapefiles")
+            st.map(node_gdf.set_geometry("geometry").to_crs(epsg=4326))
+
+            st.success("Successfully converted shapefiles to WNTR model.")
+            if st.button("Run Simulation"):
+                sim = wntr.sim.EpanetSimulator(wn)
+                results = sim.run_sim()
+                pressure = results.node["pressure"]
+                st.write("🧪 Sample Pressure Results")
+                st.dataframe(pressure.head())