realtime-playground
R
Realtime Playground
Overview :
Realtime-playground is an interactive platform built on LiveKit Agents, allowing users to directly experience OpenAI's real-time API in their browsers. By integrating the latest API technologies, the platform offers a space for users to experiment with and explore the capabilities of AI real-time interaction.
Target Users :
The primary target audience includes developers, data scientists, and researchers interested in real-time interactive technologies in AI. This platform is ideal for them as it provides an environment to experiment with and explore the latest API technologies, aiding quick understanding and application of these technologies.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 50.2K
Use Cases
Developers use the platform to test and learn about OpenAI's real-time API.
Data scientists utilize the platform for real-time data analysis and pattern recognition.
Educational institutions use the platform for practical teaching in AI technologies.
Features
Supports Agent implementations in both Python and TypeScript.
Provides a web frontend built on Next.js.
Allows users to interact directly with OpenAI's real-time API through their browsers.
Can be run on LiveKit Cloud or self-hosted LiveKit servers.
Offers detailed installation and deployment guides.
Supports various deployment methods, including hosting solutions for Next.js.
Provides Apache-2.0 licensing to ensure users can freely use and modify the code.
How to Use
Visit realtime-playground.livekit.io to start your experience.
Clone or download the code from the GitHub repository.
Set up the environment and dependencies according to the instructions in README.md.
Run the Agent using either Python or Node.js.
Launch the web frontend and access the local server.
Modify the code and extend functionalities as needed.
Deploy the Agent and web frontend to a production environment.
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