Gemini Multimodal Live + WebRTC
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Gemini Multimodal Live + WebRTC
Overview :
Gemini Multimodal Live + WebRTC is a sample project demonstrating how to build simple voice AI applications using the Gemini multimodal live streaming API and WebRTC technology. Major advantages of this product include low latency, improved robustness, ease of implementing core features, and compatibility with various platforms and language SDKs. The background information indicates that this is an open-source project aimed at enhancing the performance of real-time media connections through WebRTC technology while simplifying the development process.
Target Users :
The target audience includes developers and AI application builders, particularly those who need to implement real-time voice interaction features. This product offers a simplified development framework that enables developers to quickly integrate multimodal live streaming and WebRTC functionalities without needing to delve into complex network protocols.
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Use Cases
Build a real-time voice chat application that allows users to communicate through a web browser.
Develop a customer service system integrated with voice recognition and speech synthesis.
Create an online education platform that supports real-time interaction between teachers and students.
Features
Build applications using Gemini multimodal live streaming API and WebRTC technology.
The client is a single-file web application, simplifying development and maintenance.
Support audio playback and event handling, facilitating integration with user interfaces.
Enable event transfer between client and server through the Pipecat framework.
Achieve low-latency audio transmission using WebRTC protocol.
Support customizable server-side logic to extend application capabilities.
Compatible with multiple platforms, including Web, React, React Native, iOS, Android, Python, and C++.
How to Use
1. Clone or download the project code to your local machine.
2. Install project dependencies using the command `npm i`.
3. Start the development server with the command `npm run dev`.
4. Open your browser and navigate to `http://localhost:5173/` to view the application.
5. Modify the code in the `app.ts` file as needed to customize features.
6. If deploying the server-side, follow the instructions in the README to set up the environment and start the Pipecat service.
7. You may need to configure the Gemini API key and Daily API key according to project requirements.
8. Deploy the application to production, ensuring all dependencies and services are correctly configured.
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