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import tempfile
from typing import Optional
import gradio as gr
import numpy as np
from TTS.api import TTS
from huggingface_hub import snapshot_download
import subprocess
MAX_TXT_LEN = 100
snapshot_download(repo_id="DigitalUmuganda/Kinyarwanda_YourTTS",revision="main")
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")
# tts = TTS(model_path="Kinyarwanda_YourTTS/model.pth",
# config_path="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 = tts.tts(text, speaker_wav="kinyarwanda_YourTTS/conditioning_audio.wav")
# return wav
text1 = subprocess.check_output("ls", shell=True)+' '+ subprocess.check_output("ls", shell=True)
text2 = text1.decode("utf-8")
return text2
# 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="This sentence has been generated by a speech synthesis system.",
),
],
# outputs=gr.outputs.Audio(type="numpy",label="Output"),
outputs=gr.outputs.Textbox(label="Recognized speech from speechbrain model"),
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) |