|
import copy |
|
from collections import namedtuple |
|
|
|
import torch |
|
from loguru import logger |
|
from replicate import Client |
|
|
|
from kitt.skills.common import config |
|
|
|
replicate = Client(api_token=config.REPLICATE_API_KEY) |
|
|
|
Voice = namedtuple("voice", ["name", "neutral", "angry", "speed"]) |
|
|
|
voices_replicate = [ |
|
Voice( |
|
"Fast", |
|
neutral="empty", |
|
angry=None, |
|
speed=1.0, |
|
), |
|
Voice( |
|
"Attenborough", |
|
neutral="https://zebel.ams3.digitaloceanspaces.com/xtts/short/attenborough-neutral.wav", |
|
angry=None, |
|
speed=1.2, |
|
), |
|
Voice( |
|
"Rick", |
|
neutral="https://zebel.ams3.digitaloceanspaces.com/xtts/short/rick-neutral.wav", |
|
angry=None, |
|
speed=1.2, |
|
), |
|
Voice( |
|
"Freeman", |
|
neutral="https://zebel.ams3.digitaloceanspaces.com/xtts/short/freeman-neutral.wav", |
|
angry="https://zebel.ams3.digitaloceanspaces.com/xtts/short/freeman-angry.wav", |
|
speed=1.1, |
|
), |
|
Voice( |
|
"Walken", |
|
neutral="https://zebel.ams3.digitaloceanspaces.com/xtts/short/walken-neutral.wav", |
|
angry=None, |
|
speed=1.1, |
|
), |
|
Voice( |
|
"Darth Wader", |
|
neutral="https://zebel.ams3.digitaloceanspaces.com/xtts/short/darth-neutral.wav", |
|
angry=None, |
|
speed=1.15, |
|
), |
|
] |
|
|
|
|
|
def prep_for_tts(text: str): |
|
text_tts = copy.deepcopy(text) |
|
text_tts = text_tts.replace("km/h", " kilometers per hour") |
|
text_tts = text_tts.replace("°C", " degree Celsius") |
|
text_tts = text_tts.replace("°F", " degree Fahrenheit") |
|
text_tts = text_tts.replace("km", " kilometers") |
|
return text_tts |
|
|
|
|
|
def voice_from_text(voice, voices): |
|
for v in voices: |
|
if voice == f"{v.name} - Neutral": |
|
return v.neutral |
|
if voice == f"{v.name} - Angry": |
|
return v.angry |
|
raise ValueError(f"Voice {voice} not found.") |
|
|
|
|
|
def speed_from_text(voice, voices): |
|
for v in voices: |
|
if voice == f"{v.name} - Neutral": |
|
return v.speed |
|
if voice == f"{v.name} - Angry": |
|
return v.speed |
|
|
|
|
|
def run_tts_replicate(text: str, voice_character: str): |
|
voice = voice_from_text(voice_character, voices_replicate) |
|
|
|
input = {"text": text, "speaker": voice, "cleanup_voice": True} |
|
|
|
output = replicate.run( |
|
|
|
"lucataco/xtts-v2:684bc3855b37866c0c65add2ff39c78f3dea3f4ff103a436465326e0f438d55e", |
|
input=input, |
|
) |
|
logger.info(f"sound output: {output}") |
|
return output |
|
|
|
|
|
def load_melo_tts(): |
|
from melo.api import TTS as MeloTTS |
|
|
|
device = "cuda" if torch.cuda.is_available() else "cpu" |
|
model = MeloTTS(language="EN", device=device) |
|
return model |
|
|
|
|
|
try: |
|
melo_tts = load_melo_tts() |
|
except ImportError as e: |
|
logger.error(f"Error loading MeloTTS: {e}") |
|
melo_tts = None |
|
|
|
|
|
def run_melo_tts(text: str, voice: str): |
|
if melo_tts is None: |
|
raise ValueError("MeloTTS not available.") |
|
|
|
speed = 1.0 |
|
speaker_ids = melo_tts.hps.data.spk2id |
|
audio = melo_tts.tts_to_file(text, speaker_ids["EN-Default"], None, speed=speed) |
|
return melo_tts.hps.data.sampling_rate, audio |
|
|
