README.md

---
title: geospatial-data-converter
emoji: 🌎
colorFrom: green
colorTo: blue
sdk: docker
app_port: 7860
pinned: true
tags: [geospatial, streamlit, docker]
---

# geospatial-data-converter

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This project showcases a simple geospatial data converter using [Streamlit](https://streamlit.io) and [GeoPandas](https://geopandas.org/).

# Features
- User-friendly interface for easy data conversion
- Supports conversion from the following input formats:
 - ArcGIS featurelayer URL
 - Uploaded file: KML, KMZ, GeoJSON, ZIP, etc
- Provides data in the selected output format
- Presents data preview (geometry omitted for display purposes)
- Download button for the converted data

# Deployment
`geospatial-data-converter` is deployed as a [Docker image](https://hub.docker.com/r/<your-dockerhub-username>/geospatial-data-converter) based on the `python:3.11-slim-bookworm` image.

## With Docker (pull from Docker Hub)
1. Run in terminal:
`docker run -p 7860:7860 <your-dockerhub-username>/geospatial-data-converter:latest`
2. Open http://localhost:8501 in your browser

## Docker Compose (build locally)
1. Clone the repo. Navigate to cloned repo directory
2. Run in terminal: `docker compose up`
3. Open http://localhost:7860 in your browser

## Run Tests (with local Docker container)
1. Run in terminal: `docker compose run test`

## Kubernetes
1. Clone the repo. Navigate to cloned repo directory
2. Run bash script: `/bin/bash ./kubernetes/deploy.sh`
3. Get the IP address for your new service: `kubectl get service geospatial-data-converter`

# Links
- [Streamlit](https://streamlit.io)
- [GeoPandas](https://geopandas.org/)
- [Docker Hub](https://hub.docker.com/)