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65
requirements.txt
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65
requirements.txt
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aiofiles==23.2.1
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altair==5.2.0
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annotated-types==0.6.0
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anyio==4.2.0
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attrs==23.2.0
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certifi==2024.2.2
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charset-normalizer==3.3.2
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click==8.1.7
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colorama==0.4.6
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contourpy==1.2.0
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cycler==0.12.1
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fastapi==0.109.2
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ffmpy==0.3.2
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filelock==3.13.1
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fonttools==4.48.1
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fsspec==2024.2.0
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gradio==4.18.0
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gradio_client==0.10.0
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h11==0.14.0
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httpcore==1.0.2
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httpx==0.26.0
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huggingface-hub==0.20.3
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idna==3.6
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importlib-resources==6.1.1
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Jinja2==3.1.3
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jsonschema==4.21.1
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jsonschema-specifications==2023.12.1
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kiwisolver==1.4.5
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markdown-it-py==3.0.0
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MarkupSafe==2.1.5
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matplotlib==3.8.2
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mdurl==0.1.2
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numpy==1.26.4
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orjson==3.9.13
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packaging==23.2
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pandas==2.2.0
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pillow==10.2.0
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pydantic==2.6.1
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pydantic_core==2.16.2
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pydub==0.25.1
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Pygments==2.17.2
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pyparsing==3.1.1
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python-dateutil==2.8.2
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python-multipart==0.0.9
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pytz==2024.1
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PyYAML==6.0.1
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referencing==0.33.0
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requests==2.31.0
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rich==13.7.0
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rpds-py==0.17.1
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ruff==0.2.1
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semantic-version==2.10.0
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shellingham==1.5.4
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six==1.16.0
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sniffio==1.3.0
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starlette==0.36.3
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tomlkit==0.12.0
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toolz==0.12.1
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tqdm==4.66.2
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typer==0.9.0
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typing_extensions==4.9.0
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tzdata==2024.1
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urllib3==2.2.0
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uvicorn==0.27.1
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websockets==11.0.3
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@@ -89,23 +89,31 @@ class CoquiTTSEngine(BaseTTSEngine):
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"hi", # Hindi
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]
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options = [
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gr.Dropdown(
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voices, value=voices[0], label="voice", max_choices=1
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),
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gr.Dropwdown(
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languages, value=languages[0], label="language", max_choices=1
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),
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{
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"type": "dropdown",
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"label": "Voice",
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"choices": voices,
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"max": 1,
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},
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{
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"type": "dropdown",
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"label": "Language",
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"choices": languages,
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"max": 1,
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},
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]
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def __init__(self):
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def __init__(self, options: list):
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super().__init__()
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self.voice = options[0][0]
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self.language = options[1][0]
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os.environ["COQUI_TOS_AGREED"] = "1"
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self.tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2")
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device = "cuda" if torch.cuda.is_available() else "cpu"
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self.tts.to(device)
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def synthesize(self, text: str, path: str) -> str:
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voice = self.options[0].value
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language = self.options[1].value
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self.tts.tts_to_file(text=text, file_path=path, lang=language, speaker=voice)
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self.tts.tts_to_file(text=text, file_path=path, lang=self.language, speaker=self.voice)
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return path
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@@ -1,12 +1,37 @@
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from .BaseTTSEngine import AbstractTTSEngine
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from .BaseTTSEngine import BaseTTSEngine
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import gradio as gr
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class ElevenLabsTTSEngine(AbstractTTSEngine):
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options = [gr.Radio(["Neutral", "Happy", "Sad"], label="emotion")]
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class ElevenLabsTTSEngine(BaseTTSEngine):
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options = [
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{
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"type": "dropdown",
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"label": "Voice",
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"choices": [
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"Zofija Kendrick",
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"Narelle Moon",
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"Barbora MacLean",
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"Alexandra Hisakawa",
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"Alma María",
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"Rosemary Okafor",
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"Ige Behringer",
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"Filip Traverse",
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"Damjan Chapman",
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"Wulf Carlevaro",
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"Aaron Dreschner",
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"Kumar Dahl",
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"Eugenio Mataracı",
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"Ferran Simen",
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"Xavier Hayasaka",
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"Luis Moray",
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"Marcos Rudaski",
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],
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}
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]
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name = "ElevenLabs"
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description = "ElevenLabs TTS engine."
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def __init__(self):
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def __init__(self, options: list[list | tuple | str | int | float | bool | None]):
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self.voice = options[0][0]
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super().__init__()
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def synthesize(self, text: str, path: str) -> str:
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