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import sys
import os,stat
import subprocess
from zipfile import ZipFile
# By using XTTS you agree to CPML license https://coqui.ai/cpml
os.environ["COQUI_TOS_AGREED"] = "1"
# langid is used to detect language for longer text
# Most users expect text to be their own language, there is checkbox to disable it
import langid
import gradio as gr
from TTS.api import TTS
HF_TOKEN = os.environ.get("HF_TOKEN")
from huggingface_hub import HfApi
# will use api to restart space on a unrecoverable error
api = HfApi(token=HF_TOKEN)
repo_id = "coqui/xtts"
# Use never ffmpeg binary for Ubuntu20 to use denoising for microphone input
print("Export newer ffmpeg binary for denoise filter")
ZipFile("ffmpeg.zip").extractall()
print("Make ffmpeg binary executable")
st = os.stat('ffmpeg')
os.chmod('ffmpeg', st.st_mode | stat.S_IEXEC)
# Load TTS
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v1")
tts.to("cuda")
# This is for debugging purposes only
DEVICE_ASSERT_DETECTED=0
DEVICE_ASSERT_PROMPT=None
DEVICE_ASSERT_LANG=None
def predict(prompt, language, audio_file_pth, mic_file_path, use_mic,no_lang_auto_detect, agree):
if agree == True:
supported_languages=["en","es","fr","de","it","pt","pl","tr","ru","nl","cs","ar","zh-cn"]
if language not in supported_languages:
gr.Warning("Language you put in is not in is not in our Supported Languages, please choose from dropdown")
return (
None,
None,
)
language_predicted=langid.classify(prompt)[0].strip() # strip need as there is space at end!
# tts expects chinese as zh-cn
if language_predicted == "zh":
#we use zh-cn
language_predicted = "zh-cn"
print(f"Detected language:{language_predicted}, Chosen language:{language}")
# After text character length 15 trigger language detection
if len(prompt)>15:
# allow any language for short text as some may be common
# If user unchecks language autodetection it will not trigger
# You may remove this completely for own use
if language_predicted != language and not no_lang_auto_detect:
#Please duplicate and remove this check if you really want this
#Or auto-detector fails to identify language (which it can on pretty short text or mixed text)
gr.Warning(f"It looks like your text isn’t the language you chose , if you’re sure the text is the same language you chose, please check disable language auto-detection checkbox" )
return (
None,
None,
)
if use_mic == True:
if mic_file_path is not None:
try:
# Filtering for microphone input, as it has BG noise, maybe silence in beginning and end
# This is fast filtering not perfect
lowpass_highpass="lowpass=1000,highpass=200" #too bass
fast_denoise="afftdn=nr=12:nf=-25"
# better to remove silence in beginning and end for microphone
trim_silence="areverse,atrim=start=0.2,silenceremove=start_periods=1:start_silence=0:start_threshold=0.02,areverse,atrim=start=0.2,silenceremove=start_periods=1:start_silence=0:start_threshold=0.02"
out_filename = mic_file_path +".wav" #ffmpeg to know output format
#we will use newer ffmpeg as that has afftn denoise filter
shell_command = f"./ffmpeg -y -i {mic_file_path} -af {lowpass_highpass}{fast_denoise},{trim_silence},loudnorm {out_filename}".split(" ")
command_result = subprocess.run([item for item in shell_command], capture_output=False,text=True, check=True)
speaker_wav=out_filename
print("Filtered microphone input")
except subprocess.CalledProcessError:
# There was an error - command exited with non-zero code
print("Error: failed filtering, use original microphone input")
speaker_wav=mic_file_path
else:
gr.Warning("Please record your voice with Microphone, or uncheck Use Microphone to use reference audios")
return (
None,
None,
)
else:
speaker_wav=audio_file_pth
if len(prompt)<2:
gr.Warning("Please give a longer prompt text")
return (
None,
None,
)
if len(prompt)>200:
gr.Warning("Text length limited to 200 characters for this demo, please try shorter text. You can clone this space and edit code for your own usage")
return (
None,
None,
)
global DEVICE_ASSERT_DETECTED
if DEVICE_ASSERT_DETECTED:
global DEVICE_ASSERT_PROMPT
global DEVICE_ASSERT_LANG
#It will likely never come here as we restart space on first unrecoverable error now
print(f"Unrecoverable exception caused by language:{DEVICE_ASSERT_LANG} prompt:{DEVICE_ASSERT_PROMPT}")
try:
tts.tts_to_file(
text=prompt,
file_path="output.wav",
speaker_wav=speaker_wav,
language=language,
)
except RuntimeError as e :
if "device-side assert" in str(e):
# cannot do anything on cuda device side error, need tor estart
print(f"Exit due to: Unrecoverable exception caused by language:{language} prompt:{prompt}", flush=True)
gr.Warning("Unhandled Exception encounter, please retry in a minute")
print("Cuda device-assert Runtime encountered need restart")
if not DEVICE_ASSERT_DETECTED:
DEVICE_ASSERT_DETECTED=1
DEVICE_ASSERT_PROMPT=prompt
DEVICE_ASSERT_LANG=language
# HF Space specific.. This error is unrecoverable need to restart space
api.restart_space(repo_id=repo_id)
else:
print("RuntimeError: non device-side assert error:", str(e))
raise e
return (
gr.make_waveform(
audio="output.wav",
),
"output.wav",
)
else:
gr.Warning("Please accept the Terms & Condition!")
return (
None,
None,
)
title = "Coqui🐸 XTTS"
description = """
<a href="https://huggingface.co/coqui/XTTS-v1">XTTS</a> is a Voice generation model that lets you clone voices into different languages by using just a quick 3-second audio clip.
<br/>
XTTS is built on previous research, like Tortoise, with additional architectural innovations and training to make cross-language voice cloning and multilingual speech generation possible.
<br/>
This is the same model that powers our creator application <a href="https://coqui.ai">Coqui Studio</a> as well as the <a href="https://docs.coqui.ai">Coqui API</a>. In production we apply modifications to make low-latency streaming possible.
<br/>
Leave a star on the Github <a href="https://github.com/coqui-ai/TTS">🐸TTS</a>, where our open-source inference and training code lives.
<br/>
<p>For faster inference without waiting in the queue, you should duplicate this space and upgrade to GPU via the settings.
<br/>
<a href="https://huggingface.co/spaces/coqui/xtts?duplicate=true">
<img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
</p>
<p>Language Selectors:
Arabic: ar, Brazilian Portuguese: pt , Chinese: zh-cn, Czech: cs,<br/>
Dutch: nl, English: en, French: fr, Italian: it, Polish: pl,<br/>
Russian: ru, Spanish: es, Turkish: tr <br/>
</p>
"""
article = """
<div style='margin:20px auto;'>
<p>By using this demo you agree to the terms of the Coqui Public Model License at https://coqui.ai/cpml</p>
</div>
"""
examples = [
[
"Once when I was six years old I saw a magnificent picture",
"en",
"examples/female.wav",
None,
False,
False,
True,
],
[
"Lorsque j'avais six ans j'ai vu, une fois, une magnifique image",
"fr",
"examples/male.wav",
None,
False,
False,
True,
],
[
"Als ich sechs war, sah ich einmal ein wunderbares Bild",
"de",
"examples/female.wav",
None,
False,
False,
True,
],
[
"Cuando tenía seis años, vi una vez una imagen magnífica",
"es",
"examples/male.wav",
None,
False,
False,
True,
],
[
"Quando eu tinha seis anos eu vi, uma vez, uma imagem magnífica",
"pt",
"examples/female.wav",
None,
False,
False,
True,
],
[
"Kiedy miałem sześć lat, zobaczyłem pewnego razu wspaniały obrazek",
"pl",
"examples/male.wav",
None,
False,
False,
True,
],
[
"Un tempo lontano, quando avevo sei anni, vidi un magnifico disegno",
"it",
"examples/female.wav",
None,
False,
False,
True,
],
[
"Bir zamanlar, altı yaşındayken, muhteşem bir resim gördüm",
"tr",
"examples/female.wav",
None,
False,
False,
True,
],
[
"Когда мне было шесть лет, я увидел однажды удивительную картинку",
"ru",
"examples/female.wav",
None,
False,
False,
True,
],
[
"Toen ik een jaar of zes was, zag ik op een keer een prachtige plaat",
"nl",
"examples/male.wav",
None,
False,
False,
True,
],
[
"Když mi bylo šest let, viděl jsem jednou nádherný obrázek",
"cs",
"examples/female.wav",
None,
False,
False,
True,
],
[
"当我还只有六岁的时候, 看到了一副精彩的插画",
"zh-cn",
"examples/female.wav",
None,
False,
False,
True,
],
]
gr.Interface(
fn=predict,
inputs=[
gr.Textbox(
label="Text Prompt",
info="One or two sentences at a time is better. Up to 200 text characters.",
value="Hi there, I'm your new voice clone. Try your best to upload quality audio",
),
gr.Dropdown(
label="Language",
info="Select an output language for the synthesised speech",
choices=[
"en",
"es",
"fr",
"de",
"it",
"pt",
"pl",
"tr",
"ru",
"nl",
"cs",
"ar",
"zh-cn",
],
max_choices=1,
value="en",
),
gr.Audio(
label="Reference Audio",
info="Click on the ✎ button to upload your own target speaker audio",
type="filepath",
value="examples/female.wav",
),
gr.Audio(source="microphone",
type="filepath",
info="Use your microphone to record audio",
label="Use Microphone for Reference"),
gr.Checkbox(label="Check to use Microphone as Reference",
value=False,
info="Notice: Microphone input may not work properly under traffic",),
gr.Checkbox(label="Do not use language auto-detect",
value=False,
info="Check to disable language auto-detection",),
gr.Checkbox(
label="Agree",
value=False,
info="I agree to the terms of the Coqui Public Model License at https://coqui.ai/cpml",
),
],
outputs=[
gr.Video(label="Waveform Visual"),
gr.Audio(label="Synthesised Audio"),
],
title=title,
description=description,
article=article,
examples=examples,
).queue().launch(debug=True)
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