import sys import os from fastapi import Request # By using XTTS you agree to CPML license https://coqui.ai/cpml os.environ["COQUI_TOS_AGREED"] = "1" import gradio as gr from TTS.api import TTS from TTS.utils.manage import ModelManager # implemented torch cereal with milk for safe globals from TTS.tts.configs.xtts_config import XttsConfig from TTS.tts.models.xtts import XttsAudioConfig from TTS.config.shared_configs import BaseDatasetConfig from TTS.tts.models.xtts import XttsArgs import torch.serialization # torch.serialization.add_safe_globals([XttsConfig]) model_names = TTS().list_models() print(model_names.__dict__) print(model_names.__dir__()) model_name = "tts_models/multilingual/multi-dataset/xtts_v2" # using v2 #m = ModelManager().download_model(model_name) #print(m) m = model_name torch.serialization.add_safe_globals([XttsConfig, XttsAudioConfig, BaseDatasetConfig, XttsArgs]) tts = TTS(model_name, gpu=False) tts.to("cpu") # no GPU or Amd #tts.to("cuda") # cuda only def predict(prompt, language, audio_file_pth, mic_file_path, use_mic, agree, request: gr.Request): """ Due to the large number of abuses observed in the console logs, I have been forced to integrate the ‘display of additional information’ relating to the use of this space. I have been obliged to include a ‘display of additional information’ relating to the use of this area. As a reminder, sending illegal content (se*ual, offensive or threatening content) in any language is of course FORBIDDEN. language, is of course FORBIDDEN. I cannot be held responsible for those who violate a strictly [ETHICAL and MORAL] use of this space. use of this model. <- Glz's text not Deep50D's """ try: if request: print("Request obj:", request.__dict__) print("= = = = = = = = = = = =") print("Request headers dictionary:", request.headers) print("IP address:", request.client.host) try: print("Cookies:", request.__dict__.get("cookie")) except: print("no Cookies") print("Query parameters:", dict(request.query_params)) print() else: print("no such Request..") except Exception as e: print(e) if agree == True: if use_mic == True: if mic_file_path is not None: 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)>10000: gr.Warning("Text length limited to 10000 characters for this demo, please try shorter text") return ( # None, None, ) try: if language == "fr": if m.find("your") != -1: language = "fr-fr" if m.find("/fr/") != -1: language = None output_path = os.path.abspath("output.wav") # we use that absolute path now! tts.tts_to_file( text=prompt, file_path=output_path, speaker_wav=speaker_wav, language=language ) except RuntimeError as e : if "device-assert" in str(e): # cannot do anything on cuda device side error, need tor estart gr.Warning("Unhandled Exception encounter, please retry in a minute") print("Cuda device-assert Runtime encountered need restart") sys.exit("Exit due to cuda device-assert") else: raise e # better verify file exists before returning if not os.path.exists(output_path): gr.Warning("Audio file was not created successfully") return None return output_path # return that absolute path as string else: gr.Warning("Please accept the Terms & Condition!") return None title = "XTTS Deep50D's fixed Glz remake (Functional Text-to-Speech)" description = f"""

XTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 3-second audio clip. 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. This is the same model that powers our creator application Coqui Studio as well as the Coqui API. In production we apply modifications to make low-latency streaming possible. Leave a star on the Github TTS, where our open-source inference and training code lives.

For faster inference without waiting in the queue, you should duplicate this space. Duplicate Space

Sending illegal content of any kind, in any language is, of course, FORBIDDEN. The authors of this space cannot be held responsible for those who violate the strictly [ETHICAL AND MORAL] use of this model.

Fixed stuff to make this thing work again and corrected some other things. Possibly still a bunch to fix or reinstate, or something like that xDeep50D

""" article = """

By using this demo you agree to the terms of the Coqui Public Model License at https://coqui.ai/cpml

""" examples = [ [ "Hello, World !, here is an example of light voice cloning. Try to upload your best audio samples quality", ["English", "en"], "examples/female.wav", None, False, True, ], [ "Je suis un lycéen français de 17 ans, passioner par la Cyber-Sécuritée et les models d'IA.", ["French", "fr"], "examples/female.wav", None, False, True, ], [ "Als ich sechs war, sah ich einmal ein wunderbares Bild", ["German", "de"], "examples/female.wav", None, False, True, ], [ "Cuando tenía seis años, vi una vez una imagen magnífica", ["Spanish", "es"], "examples/female.wav", None, False, True, ], [ "Quando eu tinha seis anos eu vi, uma vez, uma imagem magnífica", ["Portuguese", "pt"], "examples/female.wav", None, False, True, ], [ "Kiedy miałem sześć lat, zobaczyłem pewnego razu wspaniały obrazek", ["Polish", "pl"], "examples/female.wav", None, False, True, ], [ "Un tempo lontano, quando avevo sei anni, vidi un magnifico disegno", ["Italian", "it"], "examples/female.wav", None, False, True, ], [ "Bir zamanlar, altı yaşındayken, muhteşem bir resim gördüm", ["Turkish", "tr"], "examples/female.wav", None, False, True, ], [ "Когда мне было шесть лет, я увидел однажды удивительную картинку", ["Russian", "ru"], "examples/female.wav", None, False, True, ], [ "Toen ik een jaar of zes was, zag ik op een keer een prachtige plaat", ["Dutch", "nl"], "examples/female.wav", None, False, True, ], [ "Když mi bylo šest let, viděl jsem jednou nádherný obrázek", ["Czech", "cs"], "examples/female.wav", None, False, True, ], [ "当我还只有六岁的时候， 看到了一副精彩的插画", ["Mandarin Chinese", "zh-cn"], "examples/female.wav", None, False, True, ], ] gr.Interface( fn=predict, inputs=[ gr.Textbox( label="Text Prompt", info="One or two sentences at a time is better", value="Hello, World! Here's an example of light voice cloning. Try to upload your best audio samples", ), gr.Dropdown( label="Language", info="Select an output language for the synthesised speech", choices=[ ["Arabic", "ar"], ["Portuguese", "pt"], ["Mandarin Chinese", "zh-cn"], ["Czech", "cs"], ["Dutch", "nl"], ["English", "en"], ["French", "fr"], ["German", "de"], ["Italian", "it"], ["Polish", "pl"], ["Russian", "ru"], ["Spanish", "es"], ["Turkish", "tr"], ], 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(sources=["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="Agree", value=True, 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"), gr.Audio(label="Synthesised Audio", type="filepath"), ], title=title, description=description, article=article, #examples=examples, # cause errors about False is not an audio ).queue().launch(debug=True)