firecrawl-openai-realtime
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Firecrawl Openai Realtime
Overview :
firecrawl-openai-realtime is an integrated OpenAI real-time API console with Firecrawl, designed to provide developers with an interactive API reference and checker. It includes two practical libraries: openai/openai-realtime-api-beta as a reference client (suitable for both browser and Node.js), and /src/lib/wavtools for simple audio management within the browser. This product is built as a React project using create-react-app and bundled with Webpack.
Target Users :
This product targets developers and data scientists who require a real-time API for processing audio data, enabling voice interaction and analysis. It offers a user-friendly interface backed by robust support, ideal for rapid prototyping and testing.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 54.6K
Use Cases
Developers can quickly test the functionality of the OpenAI real-time API using this console.
Data scientists can leverage it to analyze and process audio data.
Businesses can integrate it into their systems for automating customer service.
Features
Real-time API console providing an interactive API reference
Integration with Firecrawl tools for web data integration
Microphone access support for voice interaction
Supports manual (push-to-talk) and VAD (voice activity detection) session modes
Allows for adding and using custom tools
Supports interruption during model generation for increased interaction flexibility
Offers Wavtools for audio recording and playback in the browser
How to Use
1. Clone or download the firecrawl-openai-realtime project from the GitHub repository.
2. Extract the project files to a local directory.
3. Install project dependencies using npm or yarn.
4. Start the React development server by entering `npm start` in the command line.
5. The console will be available on the local server, typically at `localhost:3000`.
6. On first launch, enter your OpenAI API key for authentication.
7. Connect your microphone and select the session mode (manual or VAD).
8. Use the console for real-time API interaction, which includes sending voice commands and receiving responses.
9. To use a relay server, create a `.env` file and configure the relevant environment variables.
10. Load the local server URL through ConsolePage.tsx or disable the relay server by setting environment variables.
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