wispr-hello-world

# Wispr Flow Hello World ## Overview Stream audio to Wispr Flow and receive real-time transcription. Wispr specializes in developer-context-aware dictation -- it understands code terms, CLI commands, and technical jargon. ## Instructions ### Step 1: Record and Transcribe (REST) ```python import requests, os # Transcribe an audio file with open("voice-memo.wav", "rb") as audio: response = requests.post( "https://api.wisprflow.ai/api/v1/transcribe", headers={"Authorization": f"Bearer {os.environ['WISPR_API_KEY']}"}, files={"audio": audio}, data={"language": "en", "context": "programming"}, ) result = response.json() print(f"Text: {result['text']}") print(f"Confidence: {result.get('confidence', 'N/A')}") ``` ### Step 2: Real-Time Streaming (WebSocket) ```typescript // Stream microphone audio to Wispr Flow const ws = new WebSocket('wss://api.wisprflow.ai/api/v1/ws'); // Browser audio capture const stream = await navigator.mediaDevices.getUserMedia({ audio: true }); const context = new AudioContext({ sampleRate: 16000 }); const source = context.createMediaStreamSource(stream); const processor = context.createScriptProcessor(4096, 1, 1); source.connect(processor); processor.connect(context.destination); processor.onaudioprocess = (event) => { const audioData = event.inputBuffer.getChannelData(0); // Convert Float32Array to Int16Array for transmission const int16 = new Int16Array(audioData.length); for (let i = 0; i < audio...