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LLMLink is a Python package that allows users to easily create LLM-powered Gradio applications

Project description

ChainLink

ChainLink is a Python SDK designed to simplify the creation of chatbot-based applications using Gradio. The SDK offers an efficient way to interact with Language Learning Models (LLMs) and deploy Gradio applications around these models.

Contents

  1. Capabilities
  2. Installation
  3. Quickstart/Usage

Capabilities

ChainLink's capabilities are all focused around two classes - the Model class and the App class.

The Model class implements the ability to talk to a specific LLM/chatbot, while the App class implements the Gradio application around the specific Model.

Installation

To install ChainLink, you can use pip to install directly from the GitHub repository:

pip install git+https://github.com/jacobrenn/chainlink

Quickstart/Usage

Here's a simple example of how you can use ChainLink to create an LLM-powered application, and then deploy it:

import chainlink.model as Model
import chainlink.app as App

model = Model(openai_api_key='<your OpenAI API key>', model='gpt-3.5-turbo', model_type='chat_openai', memory=True)
app = App(model, feedback=True)
app.deploy()

We are currently still working on building the implementation and documentation around ChainLink, so if you have any specific questions please feel free to reach out to us directly.

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