Potential v0.5.1 PyPi release (#347)

* A candidate for the v0.5 pypi release; added metadata to pyproject.toml; limited python versions to 3.10 variants (until we can include a version of modelbench that supports higher); updated readme with new options

* A candidate for the v0.5.1 pypi release; works with pythons from 3.10 to 3.12.

README.md

@@ -34,7 +34,8 @@ can get lower-fidelity reports in minutes by running a benchmark with fewer item
 
 ## Installation
 
-Since this is under heavy development, the best way to run it is to check it out from GitHub.
+Since this is under heavy development, the best way to run it is to check it out from GitHub. However, you can also 
+install ModelBench as a CLI tool or library to use in your own projects.
 
 ### Install ModelBench with [Poetry](https://python-poetry.org/) for local development.
 
@@ -55,7 +56,14 @@ poetry install
 ```
 
 At this point you may optionally do `poetry shell` which will put you in a virtual environment that uses the installed packages
-for everything. If you do that, you don't have to explictly say `poetry run` in the commands below.
+for everything. If you do that, you don't have to explicitly say `poetry run` in the commands below.
+
+### Install ModelBench from PyPi.
+
+1. Install ModelBench into your local environment or project the way you normally would. For example:
+```shell
+pip install modelbench
+```
 
 ## Running Tests
 
@@ -74,7 +82,8 @@ tests and benchmarks.
 ### Running Your First Benchmark
 
 Before running any benchmarks, you'll need to create a secrets file that contains any necessary API keys and other sensitive information.
-Create a file at `config/secrets.toml`. You can use the following as a template.
+Create a file at `config/secrets.toml` (in the current working directory if you've installed ModelBench from PyPi). 
+You can use the following as a template.
 
 ```toml
 [together]
@@ -84,6 +93,7 @@ api_key = "<your key here>"
 To obtain an API key for Together, you can create an account [here](https://api.together.xyz/).
 
 With your keys in place, you are now ready to run your first benchmark!
+Note: Omit `poetry run` in all example commands going forward if you've installed ModelBench from PyPi.
 
 ```shell
 poetry run modelbench benchmark -m 10

pyproject.toml

@@ -3,17 +3,51 @@ requires-python = ">=3.10, <3.13"
 
 [tool.poetry]
 name = "modelbench"
-version = "0.5.0"
-description = ""
+version = "0.5.1"
+description = "Run benchmarks and generate reports measuring the behavior of many AI Systems."
+license = "Apache-2.0"
 authors = ["MLCommons AI Safety <[email protected]>"]
 readme = "README.md"
+repository = "https://github.com/mlcommons/modelbench"
+keywords = [
+    "AI",
+    "GenAI",
+    "LLM",
+    "NLP",
+    "evaluate",
+    "measure",
+    "quality",
+    "testing",
+    "prompt",
+    "safety",
+    "compare",
+    "artificial",
+    "intelligence",
+    "Large",
+    "Language",
+    "Models",
+]
+classifiers = [
+    "Development Status :: 4 - Beta",
+    "Intended Audience :: Developers",
+    "Intended Audience :: Information Technology",
+    "Intended Audience :: Science/Research",
+    "Natural Language :: English",
+    "Operating System :: OS Independent",
+    "Programming Language :: Python :: 3",
+    "Topic :: Scientific/Engineering",
+    "Topic :: Scientific/Engineering :: Artificial Intelligence",
+    "Topic :: Software Development :: Libraries :: Python Modules",
+    "Topic :: System :: Benchmark",
+    "Typing :: Typed",
+]
 packages = [
     { include = "modelbench", from = "src"  }
 ]
 
 [tool.poetry.dependencies]
 python = ">=3.10,<3.13"
-modelgauge = { version = "^0.5.0", extras = ["all_plugins"] }
+modelgauge = { version = ">=0.5.1", extras = ["all_plugins"] }
 jq = "^1.6.0"
 click = "^8.1.7"
 casefy = "^0.1.7"