app.py

import tempfile
from typing import Optional
import gradio as gr
import numpy as np
from TTS.config import load_config
from TTS.utils.manage import ModelManager
from TTS.utils.synthesizer import Synthesizer

MAX_TXT_LEN = 100
manager = ModelManager()
model_name="DigitalUmuganda/Kinyarwanda_YourTTS"
def generate_audio(text):
    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.")
    model_path, config_path, model_item = manager.download_model(model_name)
    vocoder_name: Optional[str] = model_item["default_vocoder"]
    vocoder_path = None
    vocoder_config_path = None
    if vocoder_name is not None:
        vocoder_path, vocoder_config_path, _ = manager.download_model(vocoder_name)
    synthesizer = Synthesizer(
        model_path, config_path, None, None, vocoder_path, vocoder_config_path,
    )
    if synthesizer is None:
        raise NameError("model not found")
    wavs = synthesizer.tts(text)

    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
        synthesizer.save_wav(wavs, fp)
        return fp.name

iface = gr.Interface(
    fn=generate_audio,
    inputs=[
        gr.inputs.Textbox(
            label="Input Text",
            default="This sentence has been generated by a speech synthesis system.",
        ),
    ],
    outputs=gr.outputs.Audio(label="Output"),
    title="Kinyarwanda tts Demo",
    description="Kinyarwanda tts build with ",
    allow_flagging=False,
    flagging_options=['error', 'bad-quality', 'wrong-pronounciation'],
    layout="vertical",
    live=False
)
iface.launch(share=False)