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notebook-copilot

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From Thoughts to Well-Crafted Jupyter Notebook at Record-Speed

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최종 버전 다운로드 (.zip)

- - copilot-test.yml
- copilot_example_notebook.ipynb
- __init__.py
- agents.py
- chains.py
- context.py
- handlers.py
- models.py
- notebook_copilot.py
- output.py
- parsers.py
- prompts.py
- tools.py
- utils.py
- __init__.py
- test_copilot.py
.gitignore
dev-requirements.txt
LICENSE
README.md
requirements.txt
setup.py

// repository documentation

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# 🚀 Notebook Copilot: Turn Your Thoughts Into a Polished Notebook at Record-Speed with AI.
![notebook-copilot2](https://github.com/talperetz/notebook-copilot/assets/11588598/db2b31f5-2858-41e9-8d5d-130532cbe76b)

Welcome to Notebook Copilot, your next-generation tool for Jupyter Notebooks. Inspired by GitHub Copilot, Notebook
Copilot is designed to help data scientists and engineers in developing professional, high-quality notebooks. It's like
having your personal AI-powered assistant that helps you navigate through the Jupyter universe, seamlessly
generating code and markdown cells based on your inputs.

Imagine not having to start with a blank notebook every time. Sounds dreamy, right?

https://github.com/talperetz/notebook-copilot/assets/11588598/3a086878-4e4d-4813-bc5d-41a49adb117c

## Features

- 🚀 GPT Based Generation: Notebook Copilot employs advanced GPT instances for precise and efficient code generation.
- 💻 Integrated with Any Notebook Environments: Seamless access within Jupyter Notebook and other popular platforms, boosting your productivity.
- 🧩 Automatic Context Retrieval: Understands the full context of your notebook, ensuring consistent and relevant code generation.
- 🔑 Bring Your Own Key: Flexibility to use your own OpenAI key for personalized code generation and optimal results.
- 🆓 Free and Open Source: Everyone can benefit from Notebook Copilot. It's our contribution to the coding community, aiming to make coding accessible, efficient, and fun.

## Quickstart
```python
!pip install notebook_copilot
%load_ext notebook_copilot
```
```python
%copilot
```

## Walk-through
0. Get an OpenAI [API Key](https://platform.openai.com/account/api-keys)
1. Install Notebook Copilot directly from PyPI:

```bash
pip install notebook_copilot
```

2. Load the Notebook Copilot extension in your Jupyter notebook:

```python
%load_ext notebook_copilot

# Optional: If you don't have OPENAI_API_KEY set in your environment, you can set it here
from getpass import getpass
import os
os.environ["OPENAI_API_KEY"] = getpass("Enter your OpenAI Key: ")
```

3. Start using Notebook Copilot Magic Functions in your notebook ↓

## ✨ Magic Functions

🪄 Enter Assistant Mode and let Copilot continuously generate professional code and markdown cells for you.
```python
%copilot
```

✍️ Leverage AI to create the next cell from your comments. It's like having a conversation with your notebook.

```python
%%code 
# Plot the confusion matrix for each model
# Plot the precision-recall curve for Catboost
```

📘 Automatically generate markdown cells to explain the code in the current cell. Your code is now not only functional but also well-documented.
```python
%%explain
# some code to explain…
```

⚡ Improve the time complexity of the code in no time. Copilot will generate an alternative code cell that is optimized for speed.
```python
%%optimize
# a code cell…
```

🎨 1 plot >= 1000 data rows. Visualize your data with a single line of code.
```python
%%visualize
# a code cell…
```

## Roadmap

- [x] **Copilot Magic Function**: Continues the notebook for you, generating professional code and markdown cells, making
  blank notebooks a thing of the past.
- [x] **Generate Magic Function**: Turn Your Comments into Code
- [x] **Explain Magic Function**: Generate Markdown Cells that Explain Your Code
- [x] **Optimize Magic Function**: Generate an Aleternative Code Cell that is Optimized For Speed / Simplicity
- [x] **Visualize Magic Function**: Generate a Cell that Visualize Your Data
- [x] Speed improvenents
  - [x] Support parallel cell generation
- [x] Update underlying strategy and prompts
- [ ] Support more llm providers
  - [ ] Starcoder
  - [ ] Anthropic

## Contributing
We appreciate all contributions. If you're planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions, or extensions to the core, please first open an issue and discuss the feature with us.

---
If you've found Notebook Copilot useful, please consider giving it a ⭐️ star on GitHub! This helps us know that our work is having an impact and encourages future development.

[![Star on GitHub](https://img.shields.io/github/stars/talperetz/notebook-copilot.svg?style=social)](https://github.com/talperetz/notebook-copilot/stargazers)

Your support is greatly appreciated! 🙌

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