Chatlab
by ricardoborges
Chatlab is a project that allows you to set up a local or cloud-based chat application using Ollama or Together.ai for model inference. It provides a Gradio interface for interacting with the language model.
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What is Chatlab?
Chatlab is a project designed to facilitate the deployment and execution of chat applications, leveraging either local Ollama models or the Together.ai API for language model inference. It provides a streamlined setup process and a user-friendly Gradio interface.
How to use Chatlab?
To use Chatlab, first install Ollama (or obtain a Together.ai API key). Then, set up Llama-Stack and clone the Chatlab repository. Install the necessary dependencies using uv and activate the virtual environment. Finally, run the Gradio application using gradio main.py.
Key features of Chatlab
Integration with Ollama for local inference
Support for Together.ai API for cloud-based inference
Use of Llama-Stack for managing the inference environment
Gradio interface for easy interaction
Configurable inference model selection
Use cases of Chatlab
Developing and testing chatbot applications
Running local language models for privacy
Utilizing cloud-based language models for scalability
Experimenting with different language models
Creating custom chat interfaces
FAQ from Chatlab
What is Ollama?
What is Ollama?
Ollama is a tool that allows you to run open-source large language models locally.
What is Llama-Stack?
What is Llama-Stack?
LLama-Stack is used to manage the inference environment for the chat application.
Do I need a Together.ai API key?
Do I need a Together.ai API key?
You only need a Together.ai API key if you choose to use the Together.ai API for model inference instead of running Ollama locally.
What if I encounter issues during installation?
What if I encounter issues during installation?
Check that the Ollama service is running, the virtual environment was activated correctly, and all dependencies were successfully installed.
Where can I find more information about LLama-Stack?
Where can I find more information about LLama-Stack?
Refer to the official LLama-Stack documentation at https://llama-stack.readthedocs.io/en/latest/getting_started/index.html.