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Persian-tts-CoquiTTS


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Persian-tts-CoquiTTS
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app.py
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import tempfile ,os
from TTS.config import load_config
import gradio as gr

from TTS.utils.manage import ModelManager
from TTS.utils.synthesizer import Synthesizer

MODEL_NAMES=[
    "xtts-farsi",
]
MAX_TXT_LEN = 800
model_path = os.getcwd() + "/best_model.pth"
config_path = os.getcwd() + "/config.json"
   


from TTS.utils.download import download_url
modelInfo=[
    ["xtts-farsi","best_model_31680.pth","config.json","https://huggingface.co/saillab/xtts_v2_fa_revision1"],

]

for d in modelInfo:
    directory=d[0]
    if not os.path.exists(directory):
        os.makedirs(directory)
    print("|> Downloading: ",directory)
    download_url(
        d[3]+d[1],directory,"best_model.pth"
    )
    download_url(
        d[3]+d[2],directory,"config.json"
    )
def tts(text: str,model_name: str):
    if len(text) > MAX_TXT_LEN:
        text = text[:MAX_TXT_LEN]
        print(f"Input text was cutoff since it went over the {MAX_TXT_LEN} character limit.")
    print(text)

    
    # synthesize
    synthesizer = Synthesizer(
        model_name+"/best_model.pth", model_name+"/config.json"
    )
    if synthesizer is None:
        raise NameError("model not found")
    wavs = synthesizer.tts(text)
    # return output
    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
        synthesizer.save_wav(wavs, fp)
        return fp.name


description="""
This is a demo of persian text to speech model.
**Github : https://github.com/karim23657/Persian-tts-coqui  **
Models can be found here:  <br>
|Model|Dataset|
|----|------|
|[vits female (best)](https://huggingface.co/Kamtera/persian-tts-female-vits)|[persian-tts-dataset-famale](https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset-famale)|
|[vits male1 (best)](https://huggingface.co/Kamtera/persian-tts-male1-vits)|[persian-tts-dataset-male](https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset-male)|
|[vits female1](https://huggingface.co/Kamtera/persian-tts-female1-vits)|[ParsiGoo](https://github.com/karim23657/ParsiGoo)|
|[vits male](https://huggingface.co/Kamtera/persian-tts-male-vits)|[persian-tts-dataset](https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset)|
|[glowtts female](https://huggingface.co/Kamtera/persian-tts-female-glow_tts)|[persian-tts-dataset-famale](https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset-famale)|
|[glowtts male](https://huggingface.co/Kamtera/persian-tts-male-glow_tts)|[persian-tts-dataset](https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset)|
|[tacotron2 female](https://huggingface.co/Kamtera/persian-tts-female-tacotron2)|[persian-tts-dataset-famale](https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset-famale)|
"""
article= ""
examples=[
    ["و خداوند شما را با ارسال روح در جسم زندگانی و حیات بخشید","xtts-farsi"],
    ["تاجر تو چه تجارت می کنی ، تو را چه که چه تجارت می کنم؟","xtts-farsi"],
]
iface = gr.Interface(
    fn=tts,
    inputs=[
        gr.Textbox(
            label="Text",
            value="زندگی فقط یک بار است؛ از آن به خوبی استفاده کن",
        ),
        gr.Radio(
            label="Pick a TTS Model ",
            choices=MODEL_NAMES,
            value="xtts-farsi",
        ),
    ],
    outputs=gr.Audio(label="Output",type='filepath'),
    examples=examples,
    title="🗣️ Persian tts 🗣️",
    description=description,
    article=article,
    live=False
)
iface.launch(share=False)