app.py

import tempfile
import os
import gradio as gr
from TTS.config import load_config
from TTS.utils.manage import ModelManager
from TTS.utils.synthesizer import Synthesizer
from TTS.utils.download import download_url

MODEL_NAMES = [
    "vits male1 (best)",
    "vits female (best)",
    "vits-male",
    "vits female1",
    "glowtts-male",
    "glowtts-female",
    "female tacotron2"
]

MAX_TXT_LEN = 800
MODELS_DIRECTORY = os.path.join(os.path.dirname(__file__), "models")

modelInfo = [
    ["vits-male", "best_model_65633.pth", "config-0.json",
     "https://huggingface.co/Kamtera/persian-tts-male-vits/resolve/main/"],
    ["vits female (best)", "checkpoint_48000.pth", "config-2.json",
     "https://huggingface.co/Kamtera/persian-tts-female-vits/resolve/main/"],
    ["glowtts-male", "best_model_77797.pth", "config-1.json",
     "https://huggingface.co/Kamtera/persian-tts-male-glow_tts/resolve/main/"],
    ["glowtts-female", "best_model.pth", "config.json",
     "https://huggingface.co/Kamtera/persian-tts-female-glow_tts/resolve/main/"],
    ["vits male1 (best)", "checkpoint_88000.pth", "config.json",
     "https://huggingface.co/Kamtera/persian-tts-male1-vits/resolve/main/"],
    ["vits female1", "checkpoint_50000.pth", "config.json",
     "https://huggingface.co/Kamtera/persian-tts-female1-vits/resolve/main/"],
    ["female tacotron2", "checkpoint_313000.pth", "config-2.json",
     "https://huggingface.co/Kamtera/persian-tts-female-tacotron2/resolve/main/"]
]

for model in modelInfo:
    model_name, model_filename, config_filename, model_url = model
    model_directory = os.path.join(MODELS_DIRECTORY, model_name)
    if not os.path.exists(model_directory):
        os.makedirs(model_directory)
    print("|> Downloading: ", model_directory)
    download_url(model_url + model_filename, model_directory, "best_model.pth")
    download_url(model_url + config_filename, model_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.")

    # synthesize
    model_directory = os.path.join(MODELS_DIRECTORY, model_name)
    model_path = os.path.join(model_directory, "best_model.pth")
    config_path = os.path.join(model_directory, "config.json")
    synthesizer = Synthesizer(model_path, config_path)
    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", "vits-male"],
    ["تاجر تو چه تجارت می کنی ، تو را چه که چه تجارت می کنم؟", "vits female (best)"],
    ["شیش سیخ جیگر سیخی شیش هزار", "vits female (best)"],
    ["سه شیشه شیر ، سه سیر سرشیر", "vits female (best)"],
    ["دزدی دزدید ز بز دزدی بزی ، عجب دزدی که دزدید ز بز دزدی بزی", "vits male1 (best)"],
    ["مثنوی یکی از قالب های شعری است ک هر بیت قافیه ی جداگانه دارد", "vits female1"],
    ["در گلو ماند خس او سالها، چیست آن خس مهر جاه و مالها", "vits male1 (best)"],
]

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="vits-female",
        ),
    ],
    outputs=gr.Audio(label="Output", type='filepath'),
    examples=examples,
    title="🗣️ Persian tts 🗣️",
    description=description,
    article=article,
    live=False
)
iface.launch(share=False)