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genai

(★ 352)

What if GPT could help you notebook?

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Download Latest Version (.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

# Installation Guide

1. Get the code

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

Downloads the entire project code from GitHub to your computer.

cd genai

Moves into the project folder you just downloaded.

2. Official Install Script

Easy Recommended

Prerequisites

Python 3 Python is required to use pip.

pip install genai

Installs the package published on PyPI directly — no need to clone the source.

✅ After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.

Pulled directly from this repo's README.

3. Python

Easy

Prerequisites

Git Needed to download the project code from GitHub.
Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.

%pip install genai

Installs the Python libraries listed in requirements.txt (or similar).

poetry add genai

Type this command into your terminal and run it.

pip install genai

Installs the package published on PyPI directly — no need to clone the source.

✅ If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.

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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."
```