Release 0.0.2: pulpie.markdown on PyPI, feyninc org migration

README.md

@@ -1,16 +1,16 @@
 <div align="center">
 
 <picture>
-  <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/chonkie-inc/pulpie/main/assets/banner-dark.png">
-  <img alt="pulpie" src="https://raw.githubusercontent.com/chonkie-inc/pulpie/main/assets/banner-light.png" width="460">
+  <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/feyninc/pulpie/main/assets/banner-dark.png">
+  <img alt="pulpie" src="https://raw.githubusercontent.com/feyninc/pulpie/main/assets/banner-light.png" width="460">
 </picture>
 
 [![PyPI version](https://img.shields.io/pypi/v/pulpie.svg)](https://pypi.org/project/pulpie/)
 [![Python](https://img.shields.io/badge/python-3.9%2B-blue.svg)](https://pypi.org/project/pulpie/)
-[![License](https://img.shields.io/github/license/chonkie-inc/pulpie.svg)](https://github.com/chonkie-inc/pulpie/blob/main/LICENSE)
+[![License](https://img.shields.io/github/license/feyninc/pulpie.svg)](https://github.com/feyninc/pulpie/blob/main/LICENSE)
 [![Downloads](https://static.pepy.tech/badge/pulpie)](https://pepy.tech/project/pulpie)
 [![Blog](https://img.shields.io/badge/blog-read%20the%20writeup-E34C26.svg)](https://usefeyn.com/blog/pulpie-pareto-optimal-models-for-cleaning-the-web/)
-[![GitHub stars](https://img.shields.io/github/stars/chonkie-inc/pulpie.svg)](https://github.com/chonkie-inc/pulpie/stargazers)
+[![GitHub stars](https://img.shields.io/github/stars/feyninc/pulpie.svg)](https://github.com/feyninc/pulpie/stargazers)
 
 _Pareto-optimal models for cleaning the web. Extract main content from HTML at one twentieth the cost._
 
@@ -94,9 +94,9 @@ All three models are built on [EuroBERT](https://arxiv.org/abs/2503.05500), shar
 
 | Model | Hugging Face | Params | ROUGE-5 F1 | Notes |
 |-------|--------------|--------|------------|-------|
-| **Orange Small** | [`chonkie-ai/pulpie-orange-small`](https://huggingface.co/chonkie-ai/pulpie-orange-small) | 210M | 0.862 | **Recommended**, best size-to-quality ratio |
-| Orange Base | [`chonkie-ai/pulpie-orange-base`](https://huggingface.co/chonkie-ai/pulpie-orange-base) | 610M | 0.863 | Distilled from Large |
-| Orange Large | [`chonkie-ai/pulpie-orange-large`](https://huggingface.co/chonkie-ai/pulpie-orange-large) | 2.1B | 0.873 | Teacher (highest quality) |
+| **Orange Small** | [`feyninc/pulpie-orange-small`](https://huggingface.co/feyninc/pulpie-orange-small) | 210M | 0.862 | **Recommended**, best size-to-quality ratio |
+| Orange Base | [`feyninc/pulpie-orange-base`](https://huggingface.co/feyninc/pulpie-orange-base) | 610M | 0.863 | Distilled from Large |
+| Orange Large | [`feyninc/pulpie-orange-large`](https://huggingface.co/feyninc/pulpie-orange-large) | 2.1B | 0.873 | Teacher (highest quality) |
 
 `orange-small` is the default. Despite being a third the size of Dripper (the leading extractor), it matches its quality (0.862 vs 0.864) while running 20x faster.
 

pyproject.toml

@@ -4,13 +4,13 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "pulpie"
-version = "0.0.1"
+version = "0.0.2"
 description = "Fast content extraction from HTML using encoder models."
 readme = "README.md"
 license = {text = "Apache-2.0"}
 requires-python = ">=3.9"
 authors = [
-    {name = "Chonkie AI", email = "team@chonkie.ai"},
+    {name = "Feyn", email = "team@usefeyn.com"},
 ]
 keywords = ["html", "content-extraction", "web", "nlp", "encoder", "transformer"]
 classifiers = [
@@ -46,9 +46,9 @@ dev = [
 ]
 
 [project.urls]
-Homepage = "https://github.com/chonkie-inc/pulpie"
-Documentation = "https://github.com/chonkie-inc/pulpie"
-Repository = "https://github.com/chonkie-inc/pulpie"
+Homepage = "https://github.com/feyninc/pulpie"
+Documentation = "https://github.com/feyninc/pulpie"
+Repository = "https://github.com/feyninc/pulpie"
 
 [tool.setuptools.packages.find]
 where = ["src"]

scripts/cc-filter/AGENT_PROMPT.md

@@ -10,7 +10,7 @@ You're setting up a CPU-only pipeline on a fresh GCP VM (target: `c2-standard-16
 
 1. `HF_TOKEN` with write access to the `chonkie-ai` org
 2. A `--start` / `--end` WARC index range to process (full range is 0–100000; ask which shard this box should own so it doesn't overlap with other boxes)
-3. A way to get `stream_filter_upload.py` onto the box. It lives in this repo at `scripts/cc-filter/stream_filter_upload.py`. Easiest: `git clone https://github.com/chonkie-inc/pulpie` and copy the file out, or `gh repo clone chonkie-inc/pulpie` if `gh` is installed.
+3. A way to get `stream_filter_upload.py` onto the box. It lives in this repo at `scripts/cc-filter/stream_filter_upload.py`. Easiest: `git clone https://github.com/feyninc/pulpie` and copy the file out, or `gh repo clone feyninc/pulpie` if `gh` is installed.
 
 **Authoritative setup guide:** `RECREATE_SETUP.md` in this same directory. Follow it exactly. Condensed version:
 

src/pulpie/__init__.py

@@ -4,5 +4,5 @@
 from pulpie.pipeline import PageInput, PageResult, Pipeline
 from pulpie.simplify import simplify
 
-__version__ = "0.0.1"
+__version__ = "0.0.2"
 __all__ = ["ExtractionResult", "Extractor", "PageInput", "PageResult", "Pipeline", "simplify"]

src/pulpie/model_utils.py

@@ -10,9 +10,9 @@
 from pulpie.chunker import SEP_TOKEN
 
 MODELS = {
-    "orange-small": "chonkie-ai/pulpie-orange-small",
-    "orange-base": "chonkie-ai/pulpie-orange-base",
-    "orange-large": "chonkie-ai/pulpie-orange-large",
+    "orange-small": "feyninc/pulpie-orange-small",
+    "orange-base": "feyninc/pulpie-orange-base",
+    "orange-large": "feyninc/pulpie-orange-large",
 }
 
 ITEM_ID_PATTERN = re.compile(r'_item_id="(\d+)"')