app.py

import tempfile
from typing import Optional
import gradio as gr
import subprocess
import numpy as np
from TTS.utils.synthesizer import Synthesizer


MAX_TXT_LEN = 1000
subprocess.check_output("git lfs install", shell=True)
subprocess.check_output("git clone https://huggingface.co/DigitalUmuganda/Kinyarwanda_YourTTS", 
                        shell=True)
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.")
    synthesizer = Synthesizer("./Kinyarwanda_YourTTS/model.pth",
            "Kinyarwanda_YourTTS/config.json",
            tts_speakers_file="Kinyarwanda_YourTTS/speakers.pth",
            encoder_checkpoint="Kinyarwanda_YourTTS/SE_checkpoint.pth.tar",
            encoder_config="Kinyarwanda_YourTTS/config_se.json",)
    wav = synthesizer.tts(text, speaker_wav="Kinyarwanda_YourTTS/conditioning_audio.wav")
    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
        synthesizer.save_wav(wav, fp)
        return fp.name


iface = gr.Interface(
    fn=generate_audio,
    inputs=[
        gr.inputs.Textbox(
            label="Input Text",
            default="Muraho neza! nizere ko umunsi uri kugenda neza.",
        ),
    ],
    outputs=gr.outputs.Audio(type="filepath",label="Output"),
    #outputs=gr.outputs.Textbox(label="Recognized speech from speechbrain model"),
    title="Kinyarwanda tts Demo",
    description="Kinyarwanda tts build By Digital Umuganda, using the Bible dataset, and trained on YourTTS model.",
    allow_flagging=False,
    flagging_options=['error', 'bad-quality', 'wrong-pronounciation'],
    layout="vertical",
    live=False
)
iface.launch(share=False)