import logging
from typing import cast

import gradio as gr
from balacoon_tts import TTS
from huggingface_hub import hf_hub_download, list_repo_files


# global tts module, initialized from a model selected
tts = None


def main():
    logging.basicConfig(level=logging.INFO)

    with gr.Blocks() as demo:
        gr.Markdown(
            """
            <h1 align="center">Clone your voice</h1>

            1. Write an utterance to generate,
            2. Select the model to synthesize with
            3. Select speaker
            4. Hit "Generate" and listen to the result!

            When you select model for the first time,
            it will take a little time to download it.
            """
        )
        with gr.Row(variant="panel"):
            text = gr.Textbox(label="Text", placeholder="Type something here...")

        with gr.Row():
            with gr.Column(variant="panel"):
                repo_files = list_repo_files(repo_id="balacoon/tts")
                model_files = [x for x in repo_files if x.endswith("_cpu.addon")]
                model_name = gr.Dropdown(
                    label="Model",
                    choices=model_files,
                )
            with gr.Column(variant="panel"):
                speaker = gr.Dropdown(label="Speaker", choices=[])

            def set_model(model_name_str: str):
                """
                gets value from `model_name`, loads model,
                re-initializes tts object, gets list of
                speakers that model supports and set them to `speaker`
                """
                model_path = hf_hub_download(
                    repo_id="balacoon/tts", filename=model_name_str
                )
                global tts
                tts = TTS(model_path)
                speakers = tts.get_speakers()
                value = speakers[-1]
                return gr.Dropdown.update(
                    choices=speakers, value=value, visible=True
                )

            model_name.change(set_model, inputs=model_name, outputs=speaker)

        with gr.Row(variant="panel"):
            generate = gr.Button("Generate")
        with gr.Row(variant="panel"):
            audio = gr.Audio()

        def synthesize_audio(text_str: str, speaker_str: str = ""):
            """
            gets utterance to synthesize from `text` Textbox
            and speaker name from `speaker` dropdown list.
            speaker name might be empty for single-speaker models.
            Synthesizes the waveform and updates `audio` with it.
            """
            if not text_str:
                logging.info("text or speaker are not provided")
                return None
            global tts
            if len(text_str) > 1024:
                text_str = text_str[:1024]
            samples = cast(TTS, tts).synthesize(text_str, speaker_str)
            return gr.Audio.update(value=(cast(TTS, tts).get_sampling_rate(), samples))

        generate.click(synthesize_audio, inputs=[text, speaker], outputs=audio)

    demo.launch()


if __name__ == "__main__":
    main()