Spaces:
Running
on
T4
Running
on
T4
gorkemgoknar
commited on
Commit
•
96324d6
1
Parent(s):
e5753d7
xtts v2 with silence fix
Browse files
app.py
CHANGED
@@ -44,10 +44,10 @@ st = os.stat("ffmpeg")
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os.chmod("ffmpeg", st.st_mode | stat.S_IEXEC)
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# This will trigger downloading model
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print("Downloading if not downloaded Coqui XTTS
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from TTS.utils.manage import ModelManager
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model_name = "tts_models/multilingual/multi-dataset/
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ModelManager().download_model(model_name)
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model_path = os.path.join(get_user_data_dir("tts"), model_name.replace("/", "--"))
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print("XTTS downloaded")
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@@ -55,10 +55,6 @@ print("XTTS downloaded")
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config = XttsConfig()
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config.load_json(os.path.join(model_path, "config.json"))
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# it should be there just to be sure
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if "ja" not in config.languages:
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config.languages.append("ja")
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model = Xtts.init_from_config(config)
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model.load_checkpoint(
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config,
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@@ -74,11 +70,8 @@ DEVICE_ASSERT_DETECTED = 0
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DEVICE_ASSERT_PROMPT = None
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DEVICE_ASSERT_LANG = None
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# supported_languages=["en","es","fr","de","it","pt","pl","tr","ru","nl","cs","ar","zh-cn"]
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supported_languages = config.languages
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-
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def predict(
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prompt,
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language,
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@@ -254,8 +247,7 @@ def predict(
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language,
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gpt_cond_latent,
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speaker_embedding,
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diffusion_conditioning
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decoder="ne_hifigan",
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)
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inference_time = time.time() - t0
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print(f"I: Time to generate audio: {round(inference_time*1000)} milliseconds")
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@@ -273,7 +265,8 @@ def predict(
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language,
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gpt_cond_latent,
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speaker_embedding,
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-
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)
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first_chunk = True
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@@ -403,7 +396,7 @@ description = """
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<img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
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</div>
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<a href="https://huggingface.co/coqui/XTTS-
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<br/>
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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.
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<br/>
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@@ -415,9 +408,8 @@ Leave a star on the Github <a href="https://github.com/coqui-ai/TTS">🐸TTS</a>
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<br/>
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</p>
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<p>Language Selectors:
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Arabic: ar, Brazilian Portuguese: pt , Chinese: zh-cn, Czech: cs,<br/>
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-
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-
Russian: ru, Spanish: es, Turkish: tr, Japanese: ja <br/>
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</p>
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<img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=0d00920c-8cc9-4bf3-90f2-a615797e5f59" />
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"""
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@@ -559,6 +551,26 @@ examples = [
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False,
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True,
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],
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]
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@@ -588,6 +600,8 @@ gr.Interface(
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"ar",
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"zh-cn",
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"ja",
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],
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max_choices=1,
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value="en",
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os.chmod("ffmpeg", st.st_mode | stat.S_IEXEC)
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# This will trigger downloading model
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print("Downloading if not downloaded Coqui XTTS V2")
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from TTS.utils.manage import ModelManager
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model_name = "tts_models/multilingual/multi-dataset/xtts_v2"
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ModelManager().download_model(model_name)
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model_path = os.path.join(get_user_data_dir("tts"), model_name.replace("/", "--"))
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print("XTTS downloaded")
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config = XttsConfig()
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config.load_json(os.path.join(model_path, "config.json"))
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model = Xtts.init_from_config(config)
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model.load_checkpoint(
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config,
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DEVICE_ASSERT_PROMPT = None
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DEVICE_ASSERT_LANG = None
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supported_languages = config.languages
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def predict(
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prompt,
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language,
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language,
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gpt_cond_latent,
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speaker_embedding,
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diffusion_conditioning
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)
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inference_time = time.time() - t0
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print(f"I: Time to generate audio: {round(inference_time*1000)} milliseconds")
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language,
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gpt_cond_latent,
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speaker_embedding,
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repetition_penalty=5.0,
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temperature=0.75,
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)
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first_chunk = True
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<img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
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</div>
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<a href="https://huggingface.co/coqui/XTTS-v2">XTTS</a> is a Voice generation model that lets you clone voices into different languages by using just a quick 6-second audio clip.
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<br/>
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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.
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<br/>
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<br/>
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</p>
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<p>Language Selectors:
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Arabic: ar, Brazilian Portuguese: pt , Chinese: zh-cn, Czech: cs, Dutch: nl, English: en, French: fr, Italian: it, Polish: pl,<br/>
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Russian: ru, Spanish: es, Turkish: tr, Japanese: ja, Korean: ko, Hungarian: hu <br/>
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</p>
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<img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=0d00920c-8cc9-4bf3-90f2-a615797e5f59" />
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"""
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False,
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True,
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],
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[
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"한번은 내가 여섯 살이었을 때 멋진 그림을 보았습니다.",
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"ko",
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"examples/female.wav",
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None,
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False,
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True,
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False,
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True,
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],
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[
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"Egyszer hat éves koromban láttam egy csodálatos képet",
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"hu",
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"examples/male.wav",
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None,
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False,
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True,
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False,
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True,
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],
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]
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"ar",
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"zh-cn",
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"ja",
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"ko",
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"hu"
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],
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max_choices=1,
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value="en",
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