| from pathlib import Path | |
| import sys | |
| MODEL_DIR = Path(__file__).resolve().parents[1] | |
| sys.path.insert(0, str(MODEL_DIR)) | |
| from inference import InflectTTS | |
| tts = InflectTTS(MODEL_DIR, device="cpu") | |
| tts.save( | |
| "A small local voice can still be useful.", | |
| MODEL_DIR / "example.wav", | |
| speed=1.0, | |
| variation=0.667, | |
| seed=7, | |
| ) | |