folotoy-server-self-hosting  by FoloToy

Self-hosted server for customized toy interaction

created 1 year ago
555 stars

Top 58.7% on sourcepulse

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Project Summary

This repository provides configuration files for self-hosting the FoloToy Community Server, enabling users to run a personalized, AI-powered conversational experience. It targets users who want to integrate advanced LLM, Speech-to-Text, and Text-to-Speech capabilities into their own infrastructure.

How It Works

The server acts as a central hub, orchestrating interactions between various AI services and a MQTT broker for conversational data. It supports a range of popular LLM providers (OpenAI, Gemini, etc.), STT services (Whisper, Aliyun ASR), and TTS engines (Elevenlabs, EmotiVoice, OpenVoice AI), offering flexibility in choosing backend AI models.

Quick Start & Requirements

  • Primary install / run command: git clone https://github.com/FoloToy/folotoy-server-self-hosting.git folotoy-server
  • Prerequisites: Access to LLM, STT, and TTS API keys/services.
  • Documentation: https://docs.folotoy.com

Highlighted Details

  • Supports multiple LLM providers including OpenAI, Azure OpenAI, Google Gemini, Baidu Qianfan, Dify, and Moonshot.
  • Integrates with various Speech-to-Text (STT) and Text-to-Speech (TTS) services like OpenAI Whisper, Elevenlabs, and Netease EmotiVoice.
  • Conversational data is published to a MQTT Broker.

Maintenance & Community

No specific details on contributors, sponsorships, or community channels are provided in the README.

Licensing & Compatibility

The repository does not explicitly state a license.

Limitations & Caveats

The project requires users to procure and configure API access for all integrated AI services. The absence of a specified license may pose compatibility concerns for commercial or closed-source applications.

Health Check
Last commit

8 months ago

Responsiveness

1 day

Pull Requests (30d)
0
Issues (30d)
1
Star History
15 stars in the last 90 days

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Starred by Chip Huyen Chip Huyen(Author of AI Engineering, Designing Machine Learning Systems).

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