add usage instructions

README.md

@@ -4,4 +4,29 @@
 
 A simple tool that converts an image into a coloring book. It runs on a custom implementation of the k-means clustering algorithm by default but comes with the option to use scikit-learn's implementation.
 
-This [Colab notebook](https://colab.research.google.com/drive/1S91AsP2XHUKuxtUBEaFlboWd8ScAndcz?usp=sharing) explains how the coloring books are generated.
+This [Colab notebook](https://colab.research.google.com/drive/1S91AsP2XHUKuxtUBEaFlboWd8ScAndcz?usp=sharing) explains how the coloring books are generated.
+
+## Usage
+
+Once you downloaded or cloned this repo, open the directory in your terminal. 
+
+If you have conda installed:
+
+```shell
+conda env create -f environment.yml
+conda activate image2coloringbook
+```
+
+Otherwise create a virtual environment and install with pip
+
+```shell
+python -m venv image2coloringbook
+image2coloringbook\Scripts\activate.bat
+pip install -r requirements.txt
+```
+
+Once all requirements are installed, you can run the web ui with
+
+```shell
+gradio app.py
+```

environment.yml

@@ -0,0 +1,11 @@
+name: image2coloringbook
+channels:
+  - conda-forge
+  - defaults
+dependencies:
+  - python=3.10
+  - gradio=3.23.0
+  - numpy=1.26.0
+  - opencv=4.6.0
+  - tqdm=4.66.1
+  - scikit-learn=1.3.0

requirements.txt

@@ -0,0 +1,5 @@
+gradio==3.23.0
+numpy==1.26.0
+opencv==4.6.0
+tqdm==4.66.1
+scikit-learn==1.3.0