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Require Python 3.9+, closes #796

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davidmezzetti
2024-10-11 12:59:43 -04:00
parent 07fa511211
commit bbddcd2a4f
10 changed files with 19 additions and 26 deletions
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.github/workflows/build.yml
+3 -10
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@@ -15,23 +15,16 @@ jobs:
- name: Checkout code
uses: actions/checkout@v3
- name: Install Python - Linux
uses: actions/setup-python@v4
with:
python-version: 3.8
if: matrix.os == 'ubuntu-latest'
- name: Install Python - macOS/Windows
- name: Install Python
uses: actions/setup-python@v4
with:
python-version: 3.9
if: matrix.os != 'ubuntu-latest'
- name: Install Java
uses: actions/setup-java@v3
with:
distribution: "zulu"
java-version: "8"
java-version: 17
- name: Install dependencies - Linux
run: sudo apt-get update && sudo apt-get install libportaudio2 libsndfile1
@@ -54,7 +47,7 @@ jobs:
- name: Build
run: |
pip install -U wheel
pip install .[all,dev] fasttext==0.9.2 faiss-cpu==1.8.0 "numpy < 2.0.0"
pip install .[all,dev]
python -c "import nltk; nltk.download(['punkt', 'punkt_tab', 'averaged_perceptron_tagger_eng'])"
python --version
make data coverage
.github/workflows/docs.yml
+1 -1
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@@ -10,7 +10,7 @@ jobs:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: 3.8
python-version: 3.9
- run: |
pip install -U pip wheel
pip install .[all,dev]
README.md
+2 -2
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@@ -45,7 +45,7 @@ Summary of txtai features:
- ⚙️ Build with Python or YAML. API bindings available for [JavaScript](https://github.com/neuml/txtai.js), [Java](https://github.com/neuml/txtai.java), [Rust](https://github.com/neuml/txtai.rs) and [Go](https://github.com/neuml/txtai.go).
- ☁️ Run local or scale out with container orchestration
txtai is built with Python 3.8+, [Hugging Face Transformers](https://github.com/huggingface/transformers), [Sentence Transformers](https://github.com/UKPLab/sentence-transformers) and [FastAPI](https://github.com/tiangolo/fastapi). txtai is open-source under an Apache 2.0 license.
txtai is built with Python 3.9+, [Hugging Face Transformers](https://github.com/huggingface/transformers), [Sentence Transformers](https://github.com/UKPLab/sentence-transformers) and [FastAPI](https://github.com/tiangolo/fastapi). txtai is open-source under an Apache 2.0 license.
*Interested in an easy and secure way to run hosted txtai applications? Then join the [txtai.cloud](https://txtai.cloud) preview to learn more.*
@@ -166,7 +166,7 @@ The easiest way to install is via pip and PyPI
pip install txtai
```
Python 3.8+ is supported. Using a Python [virtual environment](https://docs.python.org/3/library/venv.html) is recommended.
Python 3.9+ is supported. Using a Python [virtual environment](https://docs.python.org/3/library/venv.html) is recommended.
See the detailed [install instructions](https://neuml.github.io/txtai/install) for more information covering [optional dependencies](https://neuml.github.io/txtai/install/#optional-dependencies), [environment specific prerequisites](https://neuml.github.io/txtai/install/#environment-specific-prerequisites), [installing from source](https://neuml.github.io/txtai/install/#install-from-source), [conda support](https://neuml.github.io/txtai/install/#conda) and how to [run with containers](https://neuml.github.io/txtai/cloud).
docker/base/Dockerfile
+2 -2
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@@ -1,5 +1,5 @@
# Set base image
ARG BASE_IMAGE=ubuntu:20.04
ARG BASE_IMAGE=ubuntu:22.04
FROM $BASE_IMAGE
# Install GPU-enabled version of PyTorch if set
@@ -8,7 +8,7 @@ ARG GPU
# Target CPU architecture
ARG TARGETARCH
# Set Python version (i.e. 3, 3.8)
# Set Python version (i.e. 3, 3.10)
ARG PYTHON_VERSION=3
# List of txtai components to install
docs/cloud.md
+2 -2
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@@ -30,8 +30,8 @@ Examples build commands below.
# Get Dockerfile
wget https://raw.githubusercontent.com/neuml/txtai/master/docker/base/Dockerfile
# Build Ubuntu 20.04 image running Python 3.8
docker build -t txtai --build-arg BASE_IMAGE=ubuntu:20.04 --build-arg PYTHON_VERSION=3.8 .
# Build Ubuntu 22.04 image running Python 3.10
docker build -t txtai --build-arg BASE_IMAGE=ubuntu:22.04 --build-arg PYTHON_VERSION=3.10 .
# Build image with GPU support
docker build -t txtai --build-arg GPU=1 .
docs/index.md
+1 -1
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@@ -47,6 +47,6 @@ Summary of txtai features:
- ⚙️ Build with Python or YAML. API bindings available for [JavaScript](https://github.com/neuml/txtai.js), [Java](https://github.com/neuml/txtai.java), [Rust](https://github.com/neuml/txtai.rs) and [Go](https://github.com/neuml/txtai.go).
- ☁️ Run local or scale out with container orchestration
txtai is built with Python 3.8+, [Hugging Face Transformers](https://github.com/huggingface/transformers), [Sentence Transformers](https://github.com/UKPLab/sentence-transformers) and [FastAPI](https://github.com/tiangolo/fastapi). txtai is open-source under an Apache 2.0 license.
txtai is built with Python 3.9+, [Hugging Face Transformers](https://github.com/huggingface/transformers), [Sentence Transformers](https://github.com/UKPLab/sentence-transformers) and [FastAPI](https://github.com/tiangolo/fastapi). txtai is open-source under an Apache 2.0 license.
*Interested in an easy and secure way to run hosted txtai applications? Then join the [txtai.cloud](https://txtai.cloud) preview to learn more.*
docs/install.md
+2 -2
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@@ -9,7 +9,7 @@ The easiest way to install is via pip and PyPI
pip install txtai
```
Python 3.8+ is supported. Using a Python [virtual environment](https://docs.python.org/3/library/venv.html) is recommended.
Python 3.9+ is supported. Using a Python [virtual environment](https://docs.python.org/3/library/venv.html) is recommended.
## Optional dependencies
@@ -153,7 +153,7 @@ pip install txtai torch==[version]+cpu \
-f https://download.pytorch.org/whl/torch
```
Where `[version]` is the version of PyTorch (such as 2.3.1). The [txtai-cpu](https://hub.docker.com/r/neuml/txtai-cpu) image on Docker Hub uses this method to reduce the image size.
Where `[version]` is the version of PyTorch (such as 2.4.1). The [txtai-cpu](https://hub.docker.com/r/neuml/txtai-cpu) image on Docker Hub uses this method to reduce the image size.
## Install from source
examples/01_Introducing_txtai.ipynb
+1 -1
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@@ -48,7 +48,7 @@
"- ⚙️ Build with Python or YAML. API bindings available for [JavaScript](https://github.com/neuml/txtai.js), [Java](https://github.com/neuml/txtai.java), [Rust](https://github.com/neuml/txtai.rs) and [Go](https://github.com/neuml/txtai.go).\n",
"- ☁️ Run local or scale out with container orchestration\n",
"\n",
"txtai is built with Python 3.8+, [Hugging Face Transformers](https://github.com/huggingface/transformers), [Sentence Transformers](https://github.com/UKPLab/sentence-transformers) and [FastAPI](https://github.com/tiangolo/fastapi). txtai is open-source under an Apache 2.0 license."
"txtai is built with Python 3.9+, [Hugging Face Transformers](https://github.com/huggingface/transformers), [Sentence Transformers](https://github.com/UKPLab/sentence-transformers) and [FastAPI](https://github.com/tiangolo/fastapi). txtai is open-source under an Apache 2.0 license."
]
},
{
examples/52_Build_RAG_pipelines_with_txtai.ipynb
+4 -4
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@@ -148,7 +148,7 @@
"Install\n",
"The easiest way to install is via pip and PyPI\n",
"pip install txtai\n",
"Python 3.8+ is supported. Using a Python virtual environment is recommended.\n",
"Python 3.9+ is supported. Using a Python virtual environment is recommended.\n",
"See the detailed install instructions for more information covering optional dependencies, environment specific prerequisites, installing from source, conda support and how to run with containers.\n",
"\n",
"\n",
@@ -274,7 +274,7 @@
"output_type": "execute_result",
"data": {
"text/plain": [
"'The best thing to read to learn about txtai is the \"Introducing txtai\" notebook, which provides an overview of the functionality provided by txtai. This notebook covers various features such as vector search with SQL, object storage, topic modeling, creating embeddings for text, documents, audio, images, and video, and running language model workflows. Additionally, you can explore other example notebooks like \"Similarity search with images,\" \"Build a QA database,\" and \"Semantic Graphs\" to learn more about specific use cases and features. To install txtai, use pip and PyPI with Python 3.8+, and follow the detailed install instructions for more information on optional dependencies and environment-specific prerequisites.'"
"'The best thing to read to learn about txtai is the \"Introducing txtai\" notebook, which provides an overview of the functionality provided by txtai. This notebook covers various features such as vector search with SQL, object storage, topic modeling, creating embeddings for text, documents, audio, images, and video, and running language model workflows. Additionally, you can explore other example notebooks like \"Similarity search with images,\" \"Build a QA database,\" and \"Semantic Graphs\" to learn more about specific use cases and features. To install txtai, use pip and PyPI with Python 3.9+, and follow the detailed install instructions for more information on optional dependencies and environment-specific prerequisites.'"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
@@ -559,8 +559,8 @@
"output_type": "stream",
"name": "stdout",
"text": [
"ANSWER: Python 3.8+ is supported. Using a Python virtual environment is recommended. The easiest way to install is via pip and PyPI.\n",
"CITATION: [{'id': '24', 'text': 'Python 3.8+ is supported. Using a Python virtual environment is recommended.'}]\n"
"ANSWER: Python 3.9+ is supported. Using a Python virtual environment is recommended. The easiest way to install is via pip and PyPI.\n",
"CITATION: [{'id': '24', 'text': 'Python 3.9+ is supported. Using a Python virtual environment is recommended.'}]\n"
]
}
]
setup.py
+1 -1
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@@ -145,7 +145,7 @@ setup(
packages=find_packages(where="src/python"),
package_dir={"": "src/python"},
keywords="search embedding machine-learning nlp",
python_requires=">=3.8",
python_requires=">=3.9",
install_requires=install,
extras_require=extras,
classifiers=[