wispr-install-auth

# Wispr Flow Install & Auth ## Overview Configure Wispr Flow API for voice-to-text transcription. Supports WebSocket (recommended, lower latency) and REST endpoints. Auth via API key (backend) or access tokens (client-side). ## Prerequisites - Wispr Flow API access from [wisprflow.ai/developers](https://wisprflow.ai/developers) - API key from developer dashboard - Node.js 18+ or Python 3.8+ ## Instructions ### Step 1: Configure API Key ```bash # .env WISPR_API_KEY=your-api-key-here WISPR_API_URL=https://api.wisprflow.ai ``` ### Step 2: WebSocket Connection (Recommended) ```typescript const ws = new WebSocket('wss://api.wisprflow.ai/api/v1/ws', { headers: { Authorization: `Bearer ${process.env.WISPR_API_KEY}` }, }); ws.on('open', () => { // Send context for better transcription ws.send(JSON.stringify({ type: 'config', context: { app: 'code-editor', language: 'en' }, })); console.log('Connected to Wispr Flow'); }); ws.on('message', (data) => { const result = JSON.parse(data.toString()); if (result.type === 'transcription') { console.log(`Transcript: ${result.text}`); } }); ``` ### Step 3: REST API (Simpler, Higher Latency) ```python import requests, os response = requests.post( f"{os.environ['WISPR_API_URL']}/api/v1/transcribe", headers={"Authorization": f"Bearer {os.environ['WISPR_API_KEY']}"}, files={"audio": open("recording.wav", "rb")}, data={"language": "en"}, ) print(f"Transcript: {response.json()['text']}") ``` #...