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Simon Willison 2023-04-01 14:28:24 -07:00
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name: Publish Python Package
on:
release:
types: [created]
permissions:
contents: read
jobs:
test:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
cache: pip
cache-dependency-path: setup.py
- name: Install dependencies
run: |
pip install '.[test]'
- name: Run tests
run: |
pytest
deploy:
runs-on: ubuntu-latest
needs: [test]
steps:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: "3.11"
cache: pip
cache-dependency-path: setup.py
- name: Install dependencies
run: |
pip install setuptools wheel twine build
- name: Publish
env:
TWINE_USERNAME: __token__
TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
run: |
python -m build
twine upload dist/*

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name: Test
on: [push, pull_request]
permissions:
contents: read
jobs:
test:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
cache: pip
cache-dependency-path: setup.py
- name: Install dependencies
run: |
pip install '.[test]'
- name: Run tests
run: |
pytest

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.venv
__pycache__/
*.py[cod]
*$py.class
venv
.eggs
.pytest_cache
*.egg-info
.DS_Store

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# llm
[![PyPI](https://img.shields.io/pypi/v/llm.svg)](https://pypi.org/project/llm/)
[![Changelog](https://img.shields.io/github/v/release/simonw/llm?include_prereleases&label=changelog)](https://github.com/simonw/llm/releases)
[![Tests](https://github.com/simonw/llm/workflows/Test/badge.svg)](https://github.com/simonw/llm/actions?query=workflow%3ATest)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/llm/blob/master/LICENSE)
Access large language models from the command-line
## Installation
Install this tool using `pip`:
pip install llm
You need an OpenAI API key, which should either be set in the `OPENAI_API_KEY` environment variable, or saved in a plain text file called `~/.openai-api-key.txt` in your home directory.
## Usage
So far this tool only has one command - `llm chatgpt`. You can just use `llm` as this is the default command.
To run a prompt:
llm 'Ten names for cheesecakes'
To stream the results a token at a time:
llm 'Ten names for cheesecakes' -s
To switch from ChatGPT 3.5 (the default) to GPT-4 if you have access:
llm 'Ten names for cheesecakes' -4
Pass `--model <model name>` to use a different model.
## Help
For help, run:
llm --help
You can also use:
python -m llm --help
## Development
To contribute to this tool, first checkout the code. Then create a new virtual environment:
cd llm
python -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest

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from .cli import cli
if __name__ == "__main__":
cli()

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import click
from click_default_group import DefaultGroup
import openai
import os
import sys
@click.group(
cls=DefaultGroup,
default="chatgpt",
default_if_no_args=True,
)
@click.version_option()
def cli():
"Access large language models from the command-line"
@cli.command()
@click.argument("prompt")
@click.option("--system", help="System prompt to use")
@click.option("-4", "--gpt4", is_flag=True, help="Use GPT-4")
@click.option("-m", "--model", help="Model to use")
@click.option("-s", "--stream", is_flag=True, help="Stream output")
def chatgpt(prompt, system, gpt4, model, stream):
"Execute prompt against ChatGPT"
openai.api_key = get_openai_api_key()
if gpt4:
model = "gpt-4"
if not model:
model = "gpt-3.5-turbo"
messages = []
if system:
messages.append({"role": "system", "content": system})
messages.append({"role": "user", "content": prompt})
if stream:
for chunk in openai.ChatCompletion.create(
model=model,
messages=messages,
stream=True,
):
content = chunk["choices"][0].get("delta", {}).get("content")
if content is not None:
print(content, end="")
sys.stdout.flush()
print("")
else:
response = openai.ChatCompletion.create(
model=model,
messages=messages,
)
print(response.choices[0].message.content)
def get_openai_api_key():
# Expand this to home directory / ~.openai-api-key.txt
if "OPENAI_API_KEY" in os.environ:
return os.environ["OPENAI_API_KEY"]
path = os.path.expanduser('~/.openai-api-key.txt')
# If the file exists, read it
if os.path.exists(path):
return open(path).read().strip()
raise click.ClickException("No OpenAI API key found. Set OPENAI_API_KEY environment variable or create ~/.openai-api-key.txt")

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from setuptools import setup
import os
VERSION = "0.1"
def get_long_description():
with open(
os.path.join(os.path.dirname(os.path.abspath(__file__)), "README.md"),
encoding="utf8",
) as fp:
return fp.read()
setup(
name="llm",
description="Access large language models from the command-line",
long_description=get_long_description(),
long_description_content_type="text/markdown",
author="Simon Willison",
url="https://github.com/simonw/llm",
project_urls={
"Issues": "https://github.com/simonw/llm/issues",
"CI": "https://github.com/simonw/llm/actions",
"Changelog": "https://github.com/simonw/llm/releases",
},
license="Apache License, Version 2.0",
version=VERSION,
packages=["llm"],
entry_points="""
[console_scripts]
llm=llm.cli:cli
""",
install_requires=["click", "openai", "click-default-group-wheel"],
extras_require={"test": ["pytest"]},
python_requires=">=3.7",
)

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from click.testing import CliRunner
from llm.cli import cli
def test_version():
runner = CliRunner()
with runner.isolated_filesystem():
result = runner.invoke(cli, ["--version"])
assert result.exit_code == 0
assert result.output.startswith("cli, version ")