https://github.com/barrylee111/voicechat-llm

A chatbot with both prompt and voicechat capabilities leveraging LangChain, Elasticsearch, and FastAPI. When using voicechat, the user can immerse themselves in the experience by selecting a narrator, like a pirate for instance.
https://github.com/barrylee111/voicechat-llm

elasticsearch fastapi langchain largelanguagemodel python react speech-to-text tailwind text-to-speech typescript websocket whisper

Last synced: 5 days ago
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A chatbot with both prompt and voicechat capabilities leveraging LangChain, Elasticsearch, and FastAPI. When using voicechat, the user can immerse themselves in the experience by selecting a narrator, like a pirate for instance.

• Host: GitHub
• URL: https://github.com/barrylee111/voicechat-llm
• Owner: barrylee111
• Created: 2024-06-11T21:01:05.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-06-21T21:42:22.000Z (6 months ago)
• Last Synced: 2024-10-31T17:44:56.845Z (about 2 months ago)
• Topics: elasticsearch, fastapi, langchain, largelanguagemodel, python, react, speech-to-text, tailwind, text-to-speech, typescript, websocket, whisper
• Language: Python
• Homepage:
• Size: 196 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Overview

### Demo Link:

TBD

### VoiceChat

- Enables user to have a conversation with an LLM (Voice in, Voice out)

  - Voice input is working, Voice output is currently being constructed

- Enables user to select a `narrator` that will act according to the description. (The TTS models that will be invoked are part of the next build cycle: AI)

  - Pirate

  - Scotsman

  - More

### TextChat

  - Enables user to interact with an LLM via prompt

  - Auto-Complete (part of frontend build cycle) 

## Technologies Applied

### LLM

- ChatGPT

### Backend Server

- FastAPI - Text-To-Text and Speech-To-Speech Flows (Next Build Cycle)

- Django - User creation, authentication, and authorization

### Languages

- React

- Typescript

- Python

- CSS: Tailwind

### Containerization

- Docker (Next build cycle)

### Streaming flow of audio input

- Websockets

### Databases

- PostGreSQL (User/Auth - Next Build Cycle)

- VectorDB (Domain specific knowlegdge - RAG architecture)

## Future Planning

### Conversations

- User will be able to select any of their previous conversations (limit of X)

- When selected the convo will populate into the history window above the TextPrompt

### Documents

- User will be able to upload a doc that will either:

  - passed in as a one-off for the text or voice-chat prompt

  - stored permanently as a doc that is referenced when they query the LLM

### User Account Creation and Auth

- A new service will be constructed in Django to enable noobs to:

  - Register an account

  - Log in

  - Delete the account

  - Auth for use of LLM

### Clustering

- EKS / Kubernetes / Terraform

### LLM To SLM

Swap out ChatGPT for an SLM like Llama3 that is running on our own server.

### Mobile Versions

- iOS

- Android