Large Update

TTS Generator - Various interface bugs & filtering options cleaned up.
TTS Generator - TTSDiff now scans generated text and TTS for errors.
TTS Generator - TTSSRT now creates subtitle files for video production e.g. a Youtube video.
Finetune - Now uses a customised tokenizer to deal with Japanese.
Finetune - Pre flight check and warning messages.
Finetune - Extra documentation and warnings.
Entire file structure has been re-organised to simplify management and future changes.
Documentation (built in and Github) has been rewritten/tidied up.
Requirements files have been cleaned up and simplified.
ATsetup has been re-written as necessary with additional options.
DeepSpeed moved up to version 14.
Standalone Application moved to PyTorch 2.2.1.
Nvidia CUDA Toolkit installation is NO LONGER needed (other than to compile DeepSpeed on Linux)

Tested on Linux and Windows.
This commit is contained in:
erew123 authored and GitHub committed 2024-03-28 21:49:33 +00:00
1 parent b205657be3
commit a075495a0a
65 files changed
+10339 -341

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@@ -85,7 +85,7 @@ except ModuleNotFoundError:
#### STARTUP VARIABLES ####
###########################
# STARTUP VARIABLE - Import languges file for Gradio to be able to display them in the interface
with open(this_dir / "languages.json", encoding="utf8") as f:
with open(this_dir / "system" / "config" / "languages.json", encoding="utf8") as f:
languages = json.load(f)
# Create a global lock
process_lock = threading.Lock()
@@ -347,26 +347,26 @@ def send_reload_request(tts_method):
params["tts_method_xtts_local"] = False
params["tts_method_api_tts"] = True
params["deepspeed_activate"] = False
audio_path = this_dir / "templates" / "apitts.wav"
audio_path = this_dir / "system" / "at_sounds" / "apitts.wav"
tts_method_xtts_ft = False
elif tts_method == "API Local":
params["tts_method_api_tts"] = False
params["tts_method_xtts_local"] = False
params["tts_method_api_local"] = True
params["deepspeed_activate"] = False
audio_path = this_dir / "templates" / "apilocal.wav"
audio_path = this_dir / "system" / "at_sounds" / "apilocal.wav"
tts_method_xtts_ft = False
elif tts_method == "XTTSv2 Local":
params["tts_method_api_tts"] = False
params["tts_method_api_local"] = False
params["tts_method_xtts_local"] = True
audio_path = this_dir / "templates" / "xttslocal.wav"
audio_path = this_dir / "system" / "at_sounds" / "xttslocal.wav"
tts_method_xtts_ft = False
elif tts_method == "XTTSv2 FT":
params["tts_method_api_tts"] = False
params["tts_method_api_local"] = False
params["tts_method_xtts_local"] = False
audio_path = this_dir / "templates" / "xttsfinetuned.wav"
audio_path = this_dir / "system" / "at_sounds" / "xttsfinetuned.wav"
tts_method_xtts_ft = True
return f'<audio src="file/{audio_path}" controls autoplay></audio>'
except requests.exceptions.RequestException as e:
@@ -385,9 +385,9 @@ def send_lowvram_request(low_vram):
try:
params["tts_model_loaded"] = False
if low_vram:
audio_path = this_dir / "templates" / "lowvramenabled.wav"
audio_path = this_dir / "system" / "at_sounds" / "lowvramenabled.wav"
else:
audio_path = this_dir / "templates" / "lowvramdisabled.wav"
audio_path = this_dir / "system" / "at_sounds" / "lowvramdisabled.wav"
url = f"{base_url}/api/lowvramsetting?new_low_vram_value={low_vram}"
headers = {"Content-Type": "application/json"}
response = requests.post(url, headers=headers)
@@ -414,9 +414,9 @@ def send_deepspeed_request(deepspeed_param):
try:
params["tts_model_loaded"] = False
if deepspeed_param:
audio_path = this_dir / "templates" / "deepspeedenabled.wav"
audio_path = this_dir / "system" / "at_sounds" / "deepspeedenabled.wav"
else:
audio_path = this_dir / "templates" / "deepspeeddisabled.wav"
audio_path = this_dir / "system" / "at_sounds" / "deepspeeddisabled.wav"
url = f"{base_url}/api/deepspeed?new_deepspeed_value={deepspeed_param}"
headers = {"Content-Type": "application/json"}
@@ -511,7 +511,7 @@ def combine(audio_files, output_folder, state):
################################
# PREVIEW VOICE - Generate Random Sentence if Voice Preview box is empty
def random_sentence():
with open(this_dir / "harvard_sentences.txt") as f:
with open(this_dir / "system" / "config" / "harvard_sentences.txt") as f:
return random.choice(list(f))