UPDATE

• Internet search support: you can enable internet search capability in Gradio application and Discord bot. For gradio, there is a internet mode option in the control panel. For discord, you need to specify --internet option in your prompt. For both cases, you need a Serper API Key which you can get one from serper.dev. By signing up, you will get free 2,500 free google searches which is pretty much sufficient for a long-term test.
• Discord Bot support: you can serve any model from the model zoo as Discord Bot. Find how to do this in the instruction section below.

💬🚀 LLM as a Chatbot Service

The purpose of this repository is to let people to use lots of open sourced instruction-following fine-tuned LLM models as a Chatbot service. Because different models behave differently, and different models require differently formmated prompts, I made a very simple library Ping Pong for model agnostic conversation and context managements.

Also, I made GradioChat UI that has a similar shape to HuggingChat but entirely built in Gradio. Those two projects are fully integrated to power this project.

Easiest way to try out ( ✅ Gradio, 🚧 Discord Bot )

Jarvislabs.ai

This project has become the one of the default framework at jarvislabs.ai. Jarvislabs.ai is one of the cloud GPU VM provider with the cheapest GPU prices. Furthermore, all the weights of the supported popular open source LLMs are pre-downloaded. You don't need to waste of your money and time to wait until download hundreds of GBs to try out a collection of LLMs. In less than 10 minutes, you can try out any model.

• for further instruction how to run Gradio application, please follow the official documentation on the llmchat framework.

dstack

dstack is an open-source tool that allows to run LLM-based apps in a a cloud of your choice via single command. dstack supports AWS, GCP, Azure, Lambda Cloud, etc.

Use the gradio.dstack.yml and discord.dstack.yml configurations to run the Gradio app and Discord bot via dstack.

• for more details on how to run this repo with dstack, read the official documentation by dstack.

Instructions

Standalone Gradio app

0. Prerequisites

   Note that the code only works Python >= 3.9 and gradio >= 3.32.0

   $ conda create -n llm-serve python=3.9
   $ conda activate llm-serve
   

1. Install dependencies.

   $ cd LLM-As-Chatbot
   $ pip install -r requirements.txt
   

2. Run Gradio application

   There is no required parameter to run the Gradio application. However, there are some small details worth being noted. When --local-files-only is set, application won't try to look up the Hugging Face Hub(remote). Instead, it will only use the files already downloaded and cached.

   Hugging Face libraries stores downloaded contents under ~/.cache by default, and this application assumes so. However, if you downloaded weights in different location for some reasons, you can set HF_HOME environment variable. Find more about the environment variables here

   In order to leverage internet search capability, you need Serper API Key. You can set it manually in the control panel or in CLI. When specifying the Serper API Key in CLI, it will be injected into the corresponding UI control. If you don't have it yet, please get one from serper.dev. By signing up, you will get free 2,500 free google searches which is pretty much sufficient for a long-term test.

   $ python app.py --root-path "" \
                   --local-files-only \