File size: 11,397 Bytes
6a62ffb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 |
"""
Coqui module for SillyTavern Extras
Authors:
- Pyrater (https://github.com/pyrater)
- Tony Ribeiro (https://github.com/Tony-sama)
Models are saved into user cache folder: "C:/Users/<username>/AppData/Local/tts"
References:
- Code adapted from:
- Coqui TTS https://tts.readthedocs.io/en/latest/
- Audio-webui: https://github.com/gitmylo/audio-webui
"""
import json
import os
import io
import shutil
from flask import abort, request, send_file, jsonify
from TTS.api import TTS
from TTS.utils.manage import ModelManager
from modules.utils import silence_log
DEBUG_PREFIX = "<Coqui-TTS module>"
COQUI_MODELS_PATH = "data/models/coqui/"
IGNORED_FILES = [".placeholder"]
COQUI_LOCAL_MODEL_FILE_NAME = "model.pth"
COQUI_LOCAL_CONFIG_FILE_NAME = "config.json"
gpu_mode = False
is_downloading = False
def install_model(model_id):
global gpu_mode
audio_buffer = io.BytesIO()
speaker_id = None
language_id = None
print(DEBUG_PREFIX,"Loading model",model_id)
try:
tts = TTS(model_name=model_id, progress_bar=True, gpu=gpu_mode)
if tts.is_multi_lingual:
language_id = tts.languages[0]
if tts.is_multi_speaker:
speaker_id =tts.speakers[0]
tts.tts_to_file(text="this is a test message", file_path=audio_buffer, speaker=speaker_id, language=language_id)
except Exception as e:
print(DEBUG_PREFIX,"ERROR:", e)
print("Model", model_id, "cannot be loaded, maybe wrong model name? Must be one of")
for i in TTS.list_models():
print(i)
return False
print(DEBUG_PREFIX,"Success")
return True
def coqui_check_model_state():
"""
Check if the requested model is installed on the server machine
"""
try:
model_state = "absent"
request_json = request.get_json()
model_id = request_json["model_id"]
print(DEBUG_PREFIX,"Search for model", model_id)
coqui_models_folder = ModelManager().output_prefix # models location
# Check if tts folder exist
if os.path.isdir(coqui_models_folder):
installed_models = os.listdir(coqui_models_folder)
model_folder_exists = False
model_folder = None
for i in installed_models:
if model_id == i.replace("--","/",3): # Error with model wrong name
model_folder_exists = True
model_folder = i
print(DEBUG_PREFIX,"Folder found:",model_folder)
# Check failed download
if model_folder_exists:
content = os.listdir(os.path.join(coqui_models_folder,model_folder))
print(DEBUG_PREFIX,"Checking content:",content)
for i in content:
if i == model_folder+".zip":
print("Corrupt installed found, model download must have failed previously")
model_state = "corrupted"
break
if model_state != "corrupted":
model_state = "installed"
response = json.dumps({"model_state":model_state})
return response
except Exception as e:
print(e)
abort(500, DEBUG_PREFIX + " Exception occurs while trying to search for installed model")
def coqui_install_model():
"""
Install requested model is installed on the server machine
"""
global gpu_mode
global is_downloading
try:
model_installed = False
request_json = request.get_json()
model_id = request_json["model_id"]
action = request_json["action"]
print(DEBUG_PREFIX,"Received request",action,"for model",model_id)
if (is_downloading):
print(DEBUG_PREFIX,"Rejected, already downloading a model")
return json.dumps({"status":"downloading"})
coqui_models_folder = ModelManager().output_prefix # models location
# Check if tts folder exist
if os.path.isdir(coqui_models_folder):
installed_models = os.listdir(coqui_models_folder)
model_path = None
print(DEBUG_PREFIX,"Found",len(installed_models),"models in",coqui_models_folder)
for i in installed_models:
if model_id == i.replace("--","/"):
model_installed = True
model_path = os.path.join(coqui_models_folder,i)
if model_installed:
print(DEBUG_PREFIX,"model found:", model_id)
else:
print(DEBUG_PREFIX,"model not found")
if action == "download":
if model_installed:
abort(500, DEBUG_PREFIX + "Bad request, model already installed.")
is_downloading = True
TTS(model_name=model_id, progress_bar=True, gpu=gpu_mode)
is_downloading = False
if action == "repare":
if not model_installed:
abort(500, DEBUG_PREFIX + " bad request: requesting repare of model not installed")
print(DEBUG_PREFIX,"Deleting corrupted model folder:",model_path)
shutil.rmtree(model_path, ignore_errors=True)
is_downloading = True
TTS(model_name=model_id, progress_bar=True, gpu=gpu_mode)
is_downloading = False
response = json.dumps({"status":"done"})
return response
except Exception as e:
is_downloading = False
print(e)
abort(500, DEBUG_PREFIX + " Exception occurs while trying to search for installed model")
def coqui_get_local_models():
"""
Return user local models list in the following format: [language][dataset][name] = TTS_string_id
"""
try:
print(DEBUG_PREFIX, "Received request for list of RVC models")
folder_names = os.listdir(COQUI_MODELS_PATH)
print(DEBUG_PREFIX,"Searching model in",COQUI_MODELS_PATH)
model_list = []
for folder_name in folder_names:
folder_path = COQUI_MODELS_PATH+folder_name
if folder_name in IGNORED_FILES:
continue
# Must be a folder
if not os.path.isdir(folder_path):
print("> WARNING:",folder_name,"is not a folder, it should not be there, ignored")
continue
print("> Found model folder",folder_name)
# Check pth
valid_folder = False
for file_name in os.listdir(folder_path):
if file_name.endswith(".pth"):
print(" > pth:",file_name)
valid_folder = True
if file_name.endswith(".config"):
print(" > config:",file_name)
if valid_folder:
print(" > Valid folder added to list")
model_list.append(folder_name)
else:
print(" > WARNING: Missing pth or config file, ignored folder")
# Return the list of valid folders
response = json.dumps({"models_list":model_list})
return response
except Exception as e:
print(e)
abort(500, DEBUG_PREFIX + " Exception occurs while searching for Coqui models.")
def coqui_generate_tts():
"""
Process request text with the loaded RVC model
- expected request: {
"text": text,
"model_id": voiceId,
"language_id": language,
"speaker_id": speaker
}
- model_id formats:
- model_type/language/dataset/model_name
- model_type/language/dataset/model_name[spearker_id]
- model_type/language/dataset/model_name[spearker_id][language_id]
- examples:
- tts_models/ja/kokoro/tacotron2-DDC
- tts_models/en/vctk/vits[0]
- tts_models/multilingual/multi-dataset/your_tts[2][1]
"""
global gpu_mode
global is_downloading
audio_buffer = io.BytesIO()
try:
request_json = request.get_json()
#print(request_json)
print(DEBUG_PREFIX,"Received TTS request for ", request_json)
if (is_downloading):
print(DEBUG_PREFIX,"Rejected, currently downloading a model, cannot perform TTS")
abort(500, DEBUG_PREFIX + " Requested TTS while downloading a model")
text = request_json["text"]
model_name = request_json["model_id"]
language_id = None
speaker_id = None
# Local model
model_type = model_name.split("/")[0]
if model_type == "local":
return generate_tts_local(model_name.split("/")[1], text)
if request_json["language_id"] != "none":
language_id = request_json["language_id"]
if request_json["speaker_id"] != "none":
speaker_id = request_json["speaker_id"]
print(DEBUG_PREFIX,"Loading tts \n- model", model_name, "\n - speaker_id: ",speaker_id,"\n - language_id: ",language_id, "\n - using",("GPU" if gpu_mode else "CPU"))
is_downloading = True
tts = TTS(model_name=model_name, progress_bar=True, gpu=gpu_mode)
is_downloading = False
if tts.is_multi_lingual:
if language_id is None:
abort(400, DEBUG_PREFIX + " Requested model "+model_name+" is multi-lingual but no language id provided")
language_id = tts.languages[int(language_id)]
if tts.is_multi_speaker:
if speaker_id is None:
abort(400, DEBUG_PREFIX + " Requested model "+model_name+" is multi-speaker but no speaker id provided")
speaker_id =tts.speakers[int(speaker_id)]
tts.tts_to_file(text=text, file_path=audio_buffer, speaker=speaker_id, language=language_id)
print(DEBUG_PREFIX, "Success, saved to",audio_buffer)
# Return the output_audio_path object as a response
response = send_file(audio_buffer, mimetype="audio/x-wav")
audio_buffer = io.BytesIO()
return response
except Exception as e:
print(e)
abort(500, DEBUG_PREFIX + " Exception occurs while trying to process request "+str(request_json))
def generate_tts_local(model_folder, text):
"""
Generate tts using local coqui model
"""
audio_buffer = io.BytesIO()
print(DEBUG_PREFIX,"Request for tts from local coqui model",model_folder)
model_path = os.path.join(COQUI_MODELS_PATH,model_folder,COQUI_LOCAL_MODEL_FILE_NAME)
config_path = os.path.join(COQUI_MODELS_PATH,model_folder,COQUI_LOCAL_CONFIG_FILE_NAME)
if not os.path.exists(model_path):
raise ValueError("File does not exists:",model_path)
if not os.path.exists(config_path):
raise ValueError("File does not exists:",config_path)
print(DEBUG_PREFIX,"Loading local tts model", model_path,"using",("GPU" if gpu_mode else "CPU"))
tts = TTS(model_path=model_path, config_path=config_path, progress_bar=True, gpu=gpu_mode)
tts.tts_to_file(text=text, file_path=audio_buffer)
print(DEBUG_PREFIX, "Success, saved to",audio_buffer)
# Return the output_audio_path object as a response
response = send_file(audio_buffer, mimetype="audio/x-wav")
audio_buffer = io.BytesIO()
return response |