This repository contains a Jupyter notebook that showcases the integration of the Bard API with the LangChain library. By combining the strengths of both platforms, we present a custom Language Learning Model (LLM) tailored for the Bard API, enabling users to tap into Bard's capabilities within the LangChain framework.
- Custom Bard LLM: A specialized class that interfaces with the Bard API, making it compatible with LangChain's LLM structure.
- LangChain Integration: Step-by-step demonstration of how to deploy the custom Bard LLM within LangChain's agent and tools.
- Interactive Experience: Execute the notebook for an interactive session, querying the Bard API through the integrated LLM.
Library | Purpose |
---|---|
bardapi | Interface to the Bard API, facilitating direct interactions. |
langchain | Comprehensive library for handling language models, agents, and tools. |
os | For OS-level operations, such as environment variable management. |
- Clone the BardAPI-LLM repository.
- Launch the Jupyter notebook.
- Install the required libraries as listed.
- Input your Bard API token and execute the notebook cells to witness the integration live.
Your insights matter! Feel free to fork, raise issues, or propose pull requests. All feedback and contributions are highly appreciated.