Add spellcheck workflow (#6)

SUMMARY:
This PR adds a spellcheck workflow with two steps powered by existing GitHub actions:
- Step 1 runs `codespell` to look for common misspellings, similar to vLLM itself
- Step 2 runs a full-fledged spellcheck powered by `aspell`

To get step 2 passing, a custom word list was created, and the README was edited.

TEST PLAN:
See checks available on this PR/in the repo’s “Actions” tab.

.github/config/custom-wordlist.txt

@@ -0,0 +1,11 @@
+CUDA
+neuralmagic
+Neuralmagic
+Neuralmagic's
+nm
+OpenAI
+pre
+premade
+PyPI
+vllm
+vLLM

.github/config/spellcheck.yml

@@ -0,0 +1,17 @@
+matrix:
+- name: Markdown
+  pipeline:
+  - pyspelling.filters.html:
+      comments: false
+      ignores:
+      - code
+      - pre
+  aspell:
+    lang: en
+    d: en_US
+    mode: markdown
+  dictionary:
+    wordlists:
+    - .github/config/custom-wordlist.txt
+  sources:
+  - '**/*.md'

.github/workflows/spellcheck.yaml

@@ -0,0 +1,22 @@
+name: Spellcheck
+
+on: push
+
+jobs:
+
+  SPELLCHECK:
+    runs-on: ubuntu-latest
+    steps:
+
+      - uses: actions/checkout@v4
+
+      - name: Check for common misspellings
+        uses: codespell-project/actions-codespell@v2
+
+      - name: Check spelling
+        uses: rojopolis/spellcheck-github-actions@v0
+        if: '!cancelled()'
+        with:
+          config_path: .github/config/spellcheck.yml
+          source_files: README.md
+          task_name: Markdown

.gitignore

@@ -0,0 +1 @@
+venv

README.md

@@ -2,18 +2,18 @@
 
 
 ## Overview
-The `nm-vllm` packages published in this repository are Neuralmagic Enterprise Edition of [vLLM](https://github.com/vllm-project/vllm). Packages are versioned Python wheels and docker images. These are released as "production level" official releases and "beta level" Nightly's.
+The `nm-vllm` packages published in this repository are Neuralmagic Enterprise Edition of [vLLM](https://github.com/vllm-project/vllm). Packages are versioned Python wheels and docker images. These are released as "production level" official releases and "beta level" nightly releases.
 
-Official releases are made at the discretion of Neuralmagic, but typically track with `vllm` releases. These wheels are available via "public pypi" as well as ["nm-pypi"](https://pypi.neuralmagic.com).
+Official releases are made at the discretion of Neuralmagic, but typically track with `vllm` releases. These wheels are available via the official PyPI as well as [Neuralmagic's PyPI](https://pypi.neuralmagic.com).
 
-Nightly's are released every night given green runs in automation. The wheels are available at ["nm-pypi"](https://pypi.neuralmagic.com).
+Nightly builds are released every night given green runs in automation. The wheels are available at [Neuralmagic's PyPI](https://pypi.neuralmagic.com).
 
 
 ## Installation
 
 
 ### PyPI
-The [nm-vllm PyPi package](https://pypi.neuralmagic.com/simple/nm-vllm/index.html) includes pre-compiled binaries for CUDA (version 12.1) kernels. For other PyTorch or CUDA versions, please compile the package from source.
+The [nm-vllm PyPI package](https://pypi.neuralmagic.com/simple/nm-vllm/index.html) includes pre-compiled binaries for CUDA (version 12.1) kernels. For other PyTorch or CUDA versions, please compile the package from source.
 
 Install it using pip:
 ```bash
@@ -40,11 +40,11 @@ docker run --gpus all --shm-size 2g ghcr.io/neuralmagic/nm-vllm-ent:latest --mod
 
 ## Benchmarks
 
-Please see our benchmarking results [here]( https://neuralmagic.github.io/nm-vllm-certs/dev/bench/).
+Please see our benchmark results [here]( https://neuralmagic.github.io/nm-vllm-certs/dev/bench/).
 
 
 ## Models
 
-Neural Magic maintains a variety of optimized models on our Hugging Face organization profiles:
+Neuralmagic maintains a variety of optimized models on our Hugging Face organization profiles:
 - [neuralmagic](https://huggingface.co/neuralmagic)
 - [nm-testing](https://huggingface.co/nm-testing)