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feat: drop support for python 3.9 #276

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2 changes: 1 addition & 1 deletion .github/workflows/testing.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ jobs:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
python-version: ["3.10", "3.11", "3.12", "3.13"]

steps:
- uses: actions/checkout@v4
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32 changes: 16 additions & 16 deletions README.md
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@@ -1,5 +1,5 @@
[![PyPI Downloads](https://static.pepy.tech/badge/keybert)](https://pepy.tech/projects/keybert)
[![PyPI - Python](https://img.shields.io/badge/python-3.9+-blue.svg)](https://pypi.org/project/keybert/)
[![PyPI - Python](https://img.shields.io/badge/python-3.10+-blue.svg)](https://pypi.org/project/keybert/)
[![PyPI - License](https://img.shields.io/badge/license-MIT-green.svg)](https://github.com/MaartenGr/keybert/blob/master/LICENSE)
[![PyPI - PyPi](https://img.shields.io/pypi/v/keyBERT)](https://pypi.org/project/keybert/)
[![Build](https://img.shields.io/github/actions/workflow/status/MaartenGr/keyBERT/testing.yml?branch=master)](https://pypi.org/keybert/)
Expand All @@ -15,17 +15,17 @@ create keywords and keyphrases that are most similar to a document.
Corresponding medium post can be found [here](https://towardsdatascience.com/keyword-extraction-with-bert-724efca412ea).

<a name="toc"/></a>
## Table of Contents
<!--ts-->
1. [About the Project](#about)
2. [Getting Started](#gettingstarted)
2.1. [Installation](#installation)
2.2. [Basic Usage](#usage)
2.3. [Max Sum Distance](#maxsum)
2.4. [Maximal Marginal Relevance](#maximal)
2.5. [Embedding Models](#embeddings)
3. [Large Language Models](#llms)
<!--te-->
## Table of Contents
<!--ts-->
1. [About the Project](#about)
2. [Getting Started](#gettingstarted)
2.1. [Installation](#installation)
2.2. [Basic Usage](#usage)
2.3. [Max Sum Distance](#maxsum)
2.4. [Maximal Marginal Relevance](#maximal)
2.5. [Embedding Models](#embeddings)
3. [Large Language Models](#llms)
<!--te-->


<a name="about"/></a>
Expand Down Expand Up @@ -203,7 +203,7 @@ KeyBERT supports many embedding models that can be used to embed the documents a

Click [here](https://maartengr.github.io/KeyBERT/guides/embeddings.html) for a full overview of all supported embedding models.

**Sentence-Transformers**
**Sentence-Transformers**
You can select any model from `sentence-transformers` [here](https://www.sbert.net/docs/pretrained_models.html)
and pass it through KeyBERT with `model`:

Expand All @@ -222,7 +222,7 @@ sentence_model = SentenceTransformer("all-MiniLM-L6-v2")
kw_model = KeyBERT(model=sentence_model)
```

**Flair**
**Flair**
[Flair](https://github.com/flairNLP/flair) allows you to choose almost any embedding model that
is publicly available. Flair can be used as follows:

Expand Down Expand Up @@ -259,8 +259,8 @@ kw_model = KeyLLM(llm)

This will query any ChatGPT model and ask it to extract keywords from text.

Second, we can find documents that are likely to have the same keywords and only extract keywords for those.
This is much more efficient then asking the keywords for every single documents. There are likely documents that
Second, we can find documents that are likely to have the same keywords and only extract keywords for those.
This is much more efficient then asking the keywords for every single documents. There are likely documents that
have the exact same keywords. Doing so is straightforward:

```python
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3 changes: 1 addition & 2 deletions pyproject.toml
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Expand Up @@ -8,7 +8,7 @@ version = "0.9.0"
description = "KeyBERT performs keyword extraction with state-of-the-art transformer models."
readme = "README.md"
license = {file = "LICENSE"}
requires-python = ">=3.9"
requires-python = ">=3.10"
authors = [
{ name = "Maarten Grootendorst", email = "maartengrootendorst@gmail.com" },
]
Expand All @@ -28,7 +28,6 @@ classifiers = [
"Operating System :: POSIX",
"Operating System :: Unix",
"Programming Language :: Python",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
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