Welcome to a deep dive into the realm of AI-driven communication technologies! This guide explores OpenAI's groundbreaking text-to-speech and speech-to-text capabilities, revolutionizing how machines interact with us. Discover how these tools unlock new levels of accessibility and efficiency. Whether you're a developer, tech enthusiast, or simply curious about AI advancements, this guide provides valuable insights and practical demonstrations of these powerful tools.
- In-depth exploration of OpenAI's text-to-speech and speech-to-text capabilities.
- Insights into the transformative impact on communication technologies.
- Real-world demonstrations showcasing accessibility and efficiency gains.
Clone the repository and follow the steps below to dive into the world of AI-driven communication:
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Install dependencies:
npm install
In this example, we'll demonstrate a simple unit test for a JavaScript function using Mocha and Chai.
To run the unit tests, follow these steps:
npm run test
Create a .env file in the root directory of your project and add the following environment variables:
OPENAI_API_KEY=your_openai_api_key
Organization_API_KEY=your_organization_api_key
MONGO_UI=your_mongo_ui_connection_string
Chat Completions API
Endpoint
/api/chat-completions-api
Method: GET
Text to speech
/api/text-to-speech
Method: GET
Speech to Text
/api/speech-to-text
Method: POST
This project utilizes OpenAI GPT-3.5 Turbo for [specific functionality/task]. For detailed information about GPT-3.5 Turbo, refer to the following resources:
For speech-to-text capabilities, this project utilizes OpenAI's Whisper ASR. Explore more about Whisper ASR by referring to the official documentation:
This project is licensed under the MIT License - see the LICENSE file for details.