rag_perso / src /voice /assistant.py
ALBERT Clement
Voice assistant improvements
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from kokoro import KPipeline
import numpy as np
# Chargement unique du modèle
pipeline = KPipeline(lang_code="f")
VOICE = "ff_siwis"
SAMPLE_RATE = 24000
def text_to_audio(text):
"""
Convertit un texte en audio.
Retourne un tuple compatible avec gr.Audio
"""
generator = pipeline(
text,
voice=VOICE
)
chunks = []
for _, _, audio in generator:
chunks.append(audio)
audio = np.concatenate(chunks)
return SAMPLE_RATE, audio