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Merge branch 'Model_Plugins' of https://github.com/ebolam/KoboldAI into Model_Plugins

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ebolam
2023-09-27 13:58:15 -04:00
parent 8944f69e4b b9600e4329
commit 67af0ce102
1 changed files with 15 additions and 4 deletions
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19
koboldai_settings.py
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@@ -2116,14 +2116,15 @@ class KoboldStoryRegister(object):
output = pydub.AudioSegment(np.int16(audio * 2 ** 15).tobytes(), frame_rate=sample_rate, sample_width=2, channels=channels)
else:
output = output + pydub.AudioSegment(np.int16(audio * 2 ** 15).tobytes(), frame_rate=sample_rate, sample_width=2, channels=channels)
output.export(filename, format="ogg", bitrate="16k")
if output is not None:
output.export(filename, format="ogg", bitrate="16k")
def create_wave_slow(self, make_audio_queue_slow):
import pydub
sample_rate = 24000
speaker = 'train_daws'
if self.tortoise is None and importlib.util.find_spec("tortoise") is not None:
self.tortoise=api.TextToSpeech()
self.tortoise=api.TextToSpeech(use_deepspeed=os.environ.get('deepspeed', "true").lower()=="true", kv_cache=os.environ.get('kv_cache', "true").lower()=="true", half=True)
if importlib.util.find_spec("tortoise") is not None:
voice_samples, conditioning_latents = load_voices([speaker])
@@ -2135,8 +2136,17 @@ class KoboldStoryRegister(object):
if text.strip() == "":
shutil.copy("data/empty_audio.ogg", filename)
else:
if len(text) > 20000:
if len(self.tortoise.tokenizer.encode(text)) > 400:
text = self.sentence_re.findall(text)
i=0
while i <= len(text)-2:
if len(self.tortoise.tokenizer.encode(text[i] + text[i+1])) < 400:
text[i] = text[i] + text[i+1]
del text[i+1]
else:
i+=1
else:
text = [text]
output = None
@@ -2147,7 +2157,8 @@ class KoboldStoryRegister(object):
output = pydub.AudioSegment(np.int16(audio * 2 ** 15).tobytes(), frame_rate=sample_rate, sample_width=2, channels=channels)
else:
output = output + pydub.AudioSegment(np.int16(audio * 2 ** 15).tobytes(), frame_rate=sample_rate, sample_width=2, channels=channels)
output.export(filename, format="ogg", bitrate="16k")
if output is not None:
output.export(filename, format="ogg", bitrate="16k")
logger.info("Slow audio took {} for {} characters".format(time.time()-start_time, text_length))
def gen_all_audio(self, overwrite=False):