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Merge pull request #121 from rgbkrk/remove-noteable-builtin
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remove optional dependency noteable
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rgbkrk authored Dec 15, 2023
2 parents 1ffc573 + 5ef36d4 commit 74caa7d
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2 changes: 1 addition & 1 deletion .github/workflows/test.yml
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Expand Up @@ -25,7 +25,7 @@ jobs:
run: |
python -m pip install --upgrade pip
pip install poetry tox tox-gh-actions
poetry install --extras "noteable"
poetry install --extras "test"
- name: Test with pytest
run: |
poetry run pytest
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1 change: 1 addition & 0 deletions CHANGELOG.md
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Expand Up @@ -7,6 +7,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

## [Unreleased]

- Drop Noteable builtin
- ⏃ Automatically instantiate pydantic models when they are passed as parameters to a function call

## [1.1.1]
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -8,7 +8,7 @@ ChatLab is a Python package that makes it easy to experiment with OpenAI's chat

Best yet, it's interactive in the notebook!

⚠️ NOTE: The following docs are for `main`. Check out [chatlab.dev](https://chatlab.dev) for the docs for the most recent release.
⚠️ NOTE: The following docs are for `main`. Check out [chatlab.dev](https://chatlab.dev) for the docs for the most recent release.

## Introduction

Expand Down Expand Up @@ -63,7 +63,7 @@ pip install chatlab

You'll need to set your `OPENAI_API_KEY` environment variable. You can find your API key on your [OpenAI account page](https://platform.openai.com/account/api-keys). I recommend setting it in an `.env` file when working locally.

On hosted environments like Noteable, set it in your Secrets to keep it safe from prying LLM eyes.
On hosted notebook environments, set it in your Secrets to keep it safe from prying LLM eyes.

## What can `Chat`s enable _you_ to do?

Expand All @@ -75,7 +75,7 @@ Where `Chat`s take it next level is with _Chat Functions_. You can
- register the function in your `Chat`
- watch as Chat Models call your functions!

You may recall this kind of behavior from [ChatGPT Plugins](https://noteable.io/chatgpt-plugin-for-notebook/). Now, you can take this even further with your own custom code.
You may recall this kind of behavior from ChatGPT Plugins. Now, you can take this even further with your own custom code.

As an example, let's give the large language models the ability to tell time.

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