ipy-yasi 0.1.0

DIY alternative to solve it from fast.ai (Yet-Another-SolveIt)

yasi

Usage

Installation

Install latest from the GitHub repository:

$ pip install git+https://github.com/Jack-Byte/yasi.git

or from pypi

$ pip install ipy-yasi

Documentation

Documentation can be found hosted on this GitHub repository’s pages. Additionally you can find package manager specific guidelines on conda and pypi respectively.

How to use

You can try it online with Binder

Import JupyterChat, set openai_base_url (only if you are not using Openai itself), and provide your api key directly or as the env variable OPENAI_API_KEY.

from yasi.core import JupyterChat

jc = JupyterChat(openai_base_url="https://openrouter.ai/api/v1", api_key=None)

Query Openai directly

You can use the send_query method to interacte through a code cell directly. The response will be added as a new markdown cell in your current notebook.

jc.send_query('Kia ora, how are you?')

Kia ora! I’m doing well, thanks for asking! It’s great to connect with you and practice some basic Maori phrases. How can I help you today?

Send Dialoge from your Notebook

JupyterChat is designed to extract messages from your current notebook and construct a dialoge.

It’s searching for markdown cells that contain the tags

• #| chat_system (optional) sets the context for the conversation, providing the AI with a “hint” about the type of response expected
• #| chat_user your messages
• #| chat_assistant the AIs real responses, or the ones that you ingest into the dialog

and sends the dialog to the Openai API.