[KINAN]: i need non-api openwhisper or similar so I can voice to text to you here now [GENESIS]: For local voice-to-text without APIs, here are your best options: ## Fastest Setup: faster-whisper ```bash pip install faster-whisper pyaudio ``` Quick test script: ```python import pyaudio import wave import tempfile from faster_whisper import WhisperModel # Load model (first run downloads ~150MB for 'base') model = WhisperModel("base", device="cpu", compute_type="int8") # Record audio def record(seconds=5): p = pyaudio.PyAudio() stream = p.open(format=pyaudio.paInt16, channels=1, rate=16000, input=True, frames_per_buffer=1024) print(f"Recording for {seconds}s...") frames = [stream.read(1024) for _ in range(0, int(16000/1024 * seconds))] stream.stop_stream() stream.close() p.terminate() with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as f: wf = wave.open(f.name, 'wb') wf.setnchannels(1) wf.setsampwidth(2) wf.setframerate(16000) wf.writeframes(b''.join(frames)) wf.close() return f.name # Transcribe audio_file = record(5) segments, _ = model.transcribe(audio_file) print("You said:", " ".join(s.text for s in segments)) ``` ## Alternative: Vosk (lighter weight) ```bash pip install vosk pyaudio ``` Then download a model from https://alphacephei.com/vosk/models (vosk-model-small-en-us is ~40MB). ## WSL Audio Note WSL2 audio can be tricky. If pyaudio fails: 1. **Option A**: Record on Windows, transcribe in WSL 2. **Option B**: Use PulseAudio bridge - `sudo apt install pulseaudio && pulseaudio --start` 3. **Option C**: Run the script directly in Windows PowerShell with Python Which approach do you want me to set up for you? I can create a ready-to-run script tailored to your environment. [KINAN]: whichever best to allow me to point cursor and speak and then text appears here [KINAN]: set up buzz [GENESIS]: Winget not available. Let me get the direct download link: [KINAN]: yes open it [KINAN]: zip download failed [GENESIS]: API Error: Connection error.