188 lines
6.9 KiB
Markdown
188 lines
6.9 KiB
Markdown
# 🪄 ElatoAI: Realtime AI Speech for ESP32
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Realtime AI Speech powered by OpenAI Realtime API, ESP32, Secure WebSockets, and Deno Edge Functions for >10-minute uninterrupted global conversations
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<div align="center">
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[](https://discord.gg/KJWxDPBRUj)
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[](https://www.gnu.org/licenses/gpl-3.0.en.html)   
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</div>
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## 📺 Demo Video
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https://github.com/user-attachments/assets/aa60e54c-5847-4a68-80b5-5d6b1a5b9328
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<a href="https://www.youtube.com/watch?v=o1eIAwVll5I">
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<img src="https://img.shields.io/badge/Watch%20Demo-YouTube-red?style=for-the-badge&logo=youtube" alt="Watch Demo on YouTube">
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</a>
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## Getting Started
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1. Set up your Local Supabase Backend. From the root directory, run:
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```bash
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supabase start # Starts your local Supabase server with the default migrations and seed data.
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```
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2. Set up your NextJS Frontend. ([See the Frontend README](frontend-nextjs/README.md)) From the `frontend-nextjs` directory, run the following commands. (**Login creds:** Email: admin@elatoai.com, Password: admin)
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```bash
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cd frontend-nextjs
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npm install
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npm run dev
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```
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3. Add your ESP32-S3 Device MAC Address to the Settings page in the NextJS Frontend. This links your device to your account.
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To find your ESP32-S3 Device's MAC Address, build and upload `test/print_mac_address_test.cpp` using PlatformIO.
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4. Add your OpenAI API Key in the `server-deno/.env` and `frontend-nextjs/.env.local` file.
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```
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OPENAI_API_KEY=<your_openai_api_key>
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```
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5. Start the Deno server. ([See the Deno server README](server-deno/README.md))
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```bash
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cd server-deno
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deno run -A --env-file=.env main.ts
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```
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5. Set up your ESP32 Arduino Client. ([See the ESP32 README](firmware-arduino/README.md)) On PlatformIO, first `Build` the project, then `Upload` the project to your ESP32.
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6. The ESP32 should open an AP `ELATO-DEVICE` to connect to Wifi. Connect to it and go to `http://192.168.4.1` to configure the device.
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7. Once your Wifi is configured, turn the device off and on again and it should connect to your Wifi and the Deno edge server.
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## 📌 Project Architecture
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ElatoAI consists of three main components:
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1. **Frontend Client** (`Next.js` hosted on Vercel) - to create and talk to your AI agents and 'send' it to your ESP32 device
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2. **Edge Server Functions** (`Deno` running on Deno/Supabase Edge) - to handle the websocket connections from the ESP32 device and the OpenAI API calls
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3. **ESP32 IoT Client** (`PlatformIO/Arduino`) - to receive the websocket connections from the Edge Server Functions and send audio to the OpenAI API via the Deno edge server.
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## 🌟 Features
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1. **Realtime Speech-to-Speech**: Instant speech conversion powered by OpenAI's Realtime APIs.
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2. **Create Custom AI Agents**: Create custom agents with different personalities and voices.
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3. **Customizable Voices**: Choose from a variety of voices and personalities.
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4. **Secure WebSockets**: Reliable, encrypted WebSocket communication.
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5. **Server VAD Turn Detection**: Intelligent conversation flow handling for smooth interactions.
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6. **Opus Audio Compression**: High-quality audio streaming with minimal bandwidth.
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7. **Global Edge Performance**: Low latency Deno Edge Functions ensuring seamless global conversations.
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8. **ESP32 Arduino Framework**: Optimized and easy-to-use hardware integration.
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9. **Conversation History**: View your conversation history.
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10. **Device Management**: Register and manage your devices.
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11. **User Authentication**: Secure user authentication and authorization.
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12. **Conversations with WebRTC and Websockets**: Talk to your AI with WebRTC on the NextJS webapp and with websockets on the ESP32.
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## 🛠 Tech Stack
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| Component | Technology Used |
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|-----------------|------------------------------------------|
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| Frontend | Next.js, Vercel |
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| Backend | Supabase DB |
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| Edge Functions | Deno Edge Functions on Deno/Supabase |
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| IoT Client | PlatformIO, Arduino Framework, ESP32-S3 |
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| Audio Codec | Opus |
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| Communication | Secure WebSockets |
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| Libraries | ArduinoJson, WebSockets, AsyncWebServer, ESP32_Button, Arduino Audio Tools, ArduinoLibOpus |
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## 🗺️ High-Level Flow
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```mermaid
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flowchart TD
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User[User Speech] --> ESP32
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ESP32[ESP32 Device] -->|WebSocket| Edge[Deno Edge Function]
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Edge -->|OpenAI API| OpenAI[OpenAI Realtime API]
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OpenAI --> Edge
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Edge -->|WebSocket| ESP32
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ESP32 --> User[AI Generated Speech]
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```
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## 📂 Project Structure
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```mermaid
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graph TD
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repo[ElatoAI]
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repo --> frontend[Frontend Vercel NextJS]
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repo --> deno[Deno Edge Function]
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repo --> esp32[ESP32 Arduino Client]
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deno --> supabase[Supabase DB]
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frontend --> supabase
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esp32 --> websockets[Secure WebSockets]
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esp32 --> opus[Opus Codec]
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esp32 --> audio_tools[arduino-audio-tools]
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esp32 --> libopus[arduino-libopus]
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esp32 --> ESPAsyncWebServer[ESPAsyncWebServer]
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```
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## ⚙️ PlatformIO Configuration
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```ini
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[env:esp32-s3-devkitc-1]
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platform = espressif32 @ 6.10.0
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board = esp32-s3-devkitc-1
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framework = arduino
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monitor_speed = 115200
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lib_deps =
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bblanchon/ArduinoJson@^7.1.0
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links2004/WebSockets@^2.4.1
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ESP32Async/ESPAsyncWebServer@^3.7.6
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https://github.com/esp-arduino-libs/ESP32_Button.git#v0.0.1
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https://github.com/pschatzmann/arduino-audio-tools.git#v1.0.1
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https://github.com/pschatzmann/arduino-libopus.git#a1.1.0
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```
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## 📊 Important Stats
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- ⚡️ **Latency**: <1s round-trip globally
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- 🎧 **Audio Quality**: Opus codec at 24kbps (high clarity)
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- ⏳ **Uninterrupted Conversations**: Up to 10 minutes continuous conversations
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- 🌎 **Global Availability**: Optimized with edge computing with Deno
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## 🛡 Security
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- Secure WebSockets (WSS) for encrypted data transfers
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- Optional: API Key encryption with 256-bit AES
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- Supabase DB for secure authentication
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## 🚫 Limitations
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- Limited to upto 10 minutes of uninterrupted conversations
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- Edge server stops when wall clock time is exceeded
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- No speech interruption detection on ESP32
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## 🤝 Contributing
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1. Looking for Speech Interruption detection on ESP32
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2. Adding Arduino IDE support
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3. Adding tool calling support on Deno Edge
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We welcome contributions
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- Fork this repository.
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- Create your feature branch (`git checkout -b feature/EpicFeature`).
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- Commit your changes (`git commit -m 'Add EpicFeature'`).
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- Push to the branch (`git push origin feature/EpicFeature`).
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- Open a PR
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## 📜 License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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---
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🎉 **Give a ⭐️ if you found this project interesting :)**
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