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Olivier-Truong
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915ef6e
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Parent(s):
b7e7e06
Update app.py
Browse files
app.py
CHANGED
@@ -8,28 +8,9 @@ from TTS.api import TTS
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model_names = TTS().list_models()
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m = model_names[0]
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#for model in model_names:
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# if model.find("/fr/") != -1:
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# m = model
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# break
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print(model_names)
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print(os.listdir("/home/user/.local/lib/python3.10/site-packages/TTS/utils"))
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old = open("/home/user/.local/lib/python3.10/site-packages/TTS/utils/io.py", "r").read()
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new_one = old.replace("return torch.load(f, map_location=map_location, **kwargs)", "return torch.load(f, map_location=torch.device('cpu'), **kwargs)")
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open("/home/user/.local/lib/python3.10/site-packages/TTS/utils/io.py", "w").write(new_one)
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old = open("/home/user/.local/lib/python3.10/site-packages/TTS/tts/models/xtts.py", "r").read()
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new_one = old.replace("self.load_state_dict(load_fsspec(model_path)[\"model\"], strict=strict)", "self.load_state_dict(load_fsspec(model_path, ** map_location=self.device ** )[\"model\"], strict=strict)")
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open("/home/user/.local/lib/python3.10/site-packages/TTS/tts/models/xtts.py", "w").write(new_one)
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try:
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print(open("/home/user/.local/lib/python3.10/site-packages/TTS/utils/io.py", "r").read())
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except:
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print("mauvais fichier")
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"""
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tts = TTS(m, gpu=False).to("cpu")
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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):
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@@ -53,7 +34,7 @@ def predict(prompt, language, audio_file_pth, mic_file_path, use_mic, agree):
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None,
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None,
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)
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if len(prompt)>
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gr.Warning("Text length limited to 200 characters for this demo, please try shorter text")
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return (
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None,
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@@ -71,14 +52,6 @@ def predict(prompt, language, audio_file_pth, mic_file_path, use_mic, agree):
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speaker_wav=speaker_wav,
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language=language
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)
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"""
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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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"""
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except RuntimeError as e :
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if "device-assert" in str(e):
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# cannot do anything on cuda device side error, need tor estart
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@@ -102,7 +75,7 @@ def predict(prompt, language, audio_file_pth, mic_file_path, use_mic, agree):
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)
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title = "Coqui
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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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@@ -232,7 +205,7 @@ gr.Interface(
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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="
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),
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gr.Dropdown(
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label="Language",
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@@ -253,7 +226,7 @@ gr.Interface(
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"zh-cn",
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],
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max_choices=1,
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value="
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),
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gr.Audio(
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label="Reference Audio",
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model_names = TTS().list_models()
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m = model_names[0]
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print(model_names)
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tts = TTS(m, 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):
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None,
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None,
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)
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if len(prompt)>10000:
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gr.Warning("Text length limited to 200 characters for this demo, please try shorter text")
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return (
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None,
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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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# cannot do anything on cuda device side error, need tor estart
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)
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title = "Coqui XTTS Glz's remake"
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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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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 clonaaning. Try your best to upload quality audio",
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),
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gr.Dropdown(
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label="Language",
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"zh-cn",
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],
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max_choices=1,
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value="fr",
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),
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gr.Audio(
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label="Reference Audio",
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