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genai

(★ 352)

What if GPT could help you notebook?

파일 탐색기

최종 버전 다운로드 (.zip)

- - ci.yaml
- changelog.md
- contributing.md
- gen_doc_stubs.py
- index.md
- quickstart.md
- requirements.txt
- __init__.py
- _version.py
- context.py
- display.py
- generate.py
- magics.py
- prompts.py
- suggestions.py
- tokens.py
- __init__.py
- conftest.py
- test_context.py
- test_display.py
- test_generate.py
- test_magics.py
- test_suggestions.py
- test_tokens.py
.bumpversion.cfg
.gitignore
.readthedocs.yaml
CHANGELOG.md
CODE_OF_CONDUCT.md
CONTRIBUTING.md
DOCUMENTATION.md
LICENSE
mkdocs.yml
noxfile.py
poetry.lock
poetry.toml
pyproject.toml
README.md
setup.cfg

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/rgbkrk/genai

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd genai

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. 공식 설치 스크립트

쉬움 추천

사전 준비물

Python 3 pip 명령어를 쓰려면 Python이 필요합니다.

pip install genai

PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.

✅ 설치 후 새 터미널을 열고, 프로그램의 버전 확인 명령(예: --version)으로 정상 설치됐는지 확인하세요.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

3. Python

쉬움

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

%pip install genai

requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.

poetry add genai

이 명령어를 터미널에 그대로 입력해 실행하세요.

pip install genai

PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

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[Install](#installation) | [License](./LICENSE) | [Code of Conduct](./CODE_OF_CONDUCT.md) | [Contributing](./CONTRIBUTING.md)

# GenAI: generative AI tooling for IPython

🦾 Get GPT help with code, SQL queries, DataFrames, Exceptions and more in IPython.

🌍 Supports all Jupyter environments, including IPython, JupyterLab, Jupyter Notebook, and Noteable.

TL;DR Get started now

```
%pip install genai
%load_ext genai
```

## Genai In Action

![Genai making a suggestion followed by running suggested code](https://user-images.githubusercontent.com/836375/225177905-17cfb526-60f8-486d-b468-60a6a01db02e.gif)

- [Blog Post](https://noteable.io/blog/introducing-genai/)
- [Example Notebook](https://app.noteable.io/f/1605d16d-f5d3-4099-8fec-2ca727075b3b/Introducing-Genai.ipynb)

## Introduction

We've taken the context from IPython, mixed it with OpenAI's Large Language Models, and are bringing you a more informed notebook experience that works in all Jupyter environments, including IPython, JupyterLab, Jupyter Notebook, and Noteable. 🦾🌏

## Requirements

Python 3.8+

## Installation

### Poetry

```shell
poetry add genai
```

### Pip

```shell
pip install genai
```

## Loading the IPython extension

Make sure to set the `OPENAI_API_KEY` environment variable first before using it in IPython or your [preferred notebook platform of choice](https://noteable.io/).

```
%load_ext genai
```

## Features

- `%%assist` magic command to generate code from natural language
- Custom exception suggestions

### Custom Exception Suggestions

```python
In [1]: %load_ext genai

In [2]: import pandas as pd

In [3]: df = pd.DataFrame(dict(col1=['a', 'b', 'c']), index=['first', 'second', 'third'])

In [4]: df.sort_values()
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[4], line 1
----> 1 df.sort_values()

File ~/.pyenv/versions/3.9.9/lib/python3.9/site-packages/pandas/util/_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
    325 if len(args) > num_allow_args:
    326     warnings.warn(
    327         msg.format(arguments=_format_argument_list(allow_args)),
    328         FutureWarning,
    329         stacklevel=find_stack_level(),
    330     )
--> 331 return func(*args, **kwargs)

TypeError: sort_values() missing 1 required positional argument: 'by'
```

#### 💡 Suggestion

The error message is indicating that the `sort_values()` method of a pandas dataframe is missing a required positional argument.

The `sort_values()` method requires you to pass a column name or list of column names as the `by` argument. This is used to determine how the sorting will be performed.

Here's an example:

```python
import pandas as pd

df = pd.DataFrame({
    'Name': ['Alice', 'Bob', 'Carol', 'David', 'Eva'],
    'Age': [32, 24, 28, 35, 29],
    'Salary': [60000, 40000, 35000, 80000, 45000]
})

# sort by Age column:
df_sorted = df.sort_values(by='Age')
print(df_sorted)
```

In this example, the `by` argument is set to `'Age'`, which sorts the dataframe by age in ascending order. Note that you can also pass a list of column names if you want to sort by multiple columns.

## Example

````python
In [1]: %load_ext genai

In [2]: %%assist
   ...:
   ...: Can you explain this query to me so I can be sure we're doing the right things?
   ...:
   ...: ```sql
   ...: SELECT
   ...:   COUNT(*) AS num_downloads,
   ...:   DATE_TRUNC(DATE(timestamp), DAY) AS day
   ...: FROM `bigquery-public-data.pypi.file_downloads`
   ...: WHERE
   ...:   file.project = 'genai'
   ...:   -- Only query the last 6 months of history
   ...:   AND DATE(timestamp)
   ...:     BETWEEN DATE_TRUNC(DATE_SUB(CURRENT_DATE(), INTERVAL 6 MONTH), MONTH)
   ...:     AND CURRENT_DATE()
   ...: GROUP BY day
   ...: ORDER BY day DESC
````

```markdown
"This is a SQL query that counts the number of downloads for the 'genai' project on the Python Package Index (PyPI) over the last 6 months, grouped by day. The query selects the count and the date, truncating the date to the day level so that it's easier to read.

Here is a breakdown of each part of the query:

- `SELECT COUNT(*) AS num_downloads, DATE_TRUNC(DATE(timestamp), DAY) AS day`: This selects the count of the number of rows matched by the query as `num_downloads`, and the date truncated to the day level as `day`.
- `FROM `bigquery-public-data.pypi.file_downloads``: This specifies the table to query from.
- `WHERE file.project = 'genai'`: This filters the rows by only including downloads for the 'genai' project.
- `AND DATE(timestamp) BETWEEN DATE_TRUNC(DATE_SUB(CURRENT_DATE(), INTERVAL 6 MONTH), MONTH) AND CURRENT_DATE()`: This filters the rows by only including downloads from the last 6 months. The `DATE_SUB` function subtracts 6 months from the current date (`CURRENT_DATE()`), `DATE_TRUNC` truncates the result to be the start of the month and `DATE` converts the timestamp column to a date so the `BETWEEN` condition can filter rows between the start of 6 months ago and "today."
- `GROUP BY day`: This groups the rows by day so that the counts are aggregated by date.
- `ORDER BY day DESC`: This orders the rows so that the most recent date appears first in the result."
```