made installable and added instructions to README.md

README.md

@@ -24,6 +24,15 @@ This model is a [channel-agnostic masked autoencoder](https://openaccess.thecvf.
 - **License:** [Non-Commercial End User License Agreement](https://huggingface.co/recursionpharma/OpenPhenom/blob/main/LICENSE)
 
 
+### Installation
+
+Requires Python 3.10.4 or higher. From a clone of the repository:
+
+```
+cd /path/to/OpenPhenom
+pip install -e .
+```
+
 ### Model Sources
 
 - **Repository:** [https://github.com/recursionpharma/maes_microscopy](https://github.com/recursionpharma/maes_microscopy)
@@ -124,4 +133,4 @@ See paper linked above for details on model training and evaluation. Primary hyp
 
 - Kian Kenyon-Dean: kian.kd@recursion.com
 - Oren Kraus: oren.kraus@recursion.com
-- Or, email: info@rxrx.ai
+- Or, email: info@rxrx.ai

pyproject.toml

@@ -3,7 +3,7 @@ requires = ["setuptools >= 61.0"]
 build-backend = "setuptools.build_meta"
 
 [project]
-name = "maes_microscopy_project"
+name = "openphenom"
 version = "0.1.0"
 authors = [
     {name = "kian-kd", email = "kian.kd@recursionpharma.com"},
@@ -31,4 +31,7 @@ dependencies = [
 ]
 
 [tool.setuptools]
-py-modules = []
+packages = ["OpenPhenom"]
+
+[tool.setuptools.package-dir]
+OpenPhenom = "."