import gradio as gr

# Load spectrogram generator
from nemo.collections.tts.models import FastPitchModel
spec_generator = FastPitchModel.restore_from("https://huggingface.co/inOXcrm/German_multispeaker_FastPitch_nemo")

# Load Vocoder
from nemo.collections.tts.models import HifiGanModel
model = HifiGanModel.from_pretrained(model_name="tts_de_hui_hifigan_ft_fastpitch_multispeaker_5")

# Generate audio

def generate_audio(speaker_id, input_txt):
    sr=44100
    parsed = spec_generator.parse(input_txt)
    spectrogram = spec_generator.generate_spectrogram(tokens=parsed, speaker=speaker_id)
    audio = model.convert_spectrogram_to_audio(spec=spectrogram)
    return (sr, audio)


gr.Interface(
    generate_audio,
    [
        gr.Textbox(type="text", value=1, label="Speaker ID (0-5)"),
        gr.Textbox(type="text", value=1, label="Input Text")
    ],
    "audio",
).launch()