"""

    AUTHOR:

        Khushal P Soonderji

    DATE:

        Thursday, 26th Sept., 2024

    OBJECTIVE:

        To provide a fast way to make audio from TTS engines.

    REFERENCES:

        01. Usage: https://github.com/myshell-ai/MeloTTS/blob/main/docs/install.md#python-api
        02. Installation: https://github.com/myshell-ai/MeloTTS/blob/main/docs/install.md#linux-and-macos-install

    DOWNLOADS:

        N/A

"""


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# To make sibling directories accessible for imports:
import sys
sys.path.append(".")
sys.path.append("..")

# System-level activities:
import io

# To use the AI:
from melo.api import TTS
import numpy as np
import soundfile


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# ***                                           MACROS / ONE-TIME INIT                                              ***
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# --- Nothing Yet


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# ***                                                VARIABLES                                                      ***
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# --- Nothing Yet


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# ***                                                  CLASSES                                                      ***
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class EasyTTS:

    __sampling_rate = 44_100

    def __init__(
            self,
            language = "EN",
            speed = 1.0
    ):

        self.__audio = np.zeros(1)
        self.__language = language
        self.__speed = speed
        self.__model = TTS(language = language, device = "auto")
        self.__speakers = self.__model.hps.data.spk2id

    def list_speakers(self):
        return list(self.__speakers.keys())

    def speak(
            self,
            text,
            speaker
    ):

        this_audio = self.__model.tts_to_file(
            text,
            self.__speakers[speaker],
            speed = self.__speed,
            quiet = True
        )

        self.__audio = np.concatenate((self.__audio, this_audio))

    def pause(self, seconds):

        self.__audio = np.concatenate((
            self.__audio,
            np.zeros(int(self.__sampling_rate * seconds))
        ))

    def to_wav(self, path = None):

        if path is None:
            audio_buffer = io.BytesIO()
            soundfile.write(audio_buffer, self.__audio, self.__sampling_rate)
            return audio_buffer

        else: soundfile.write(path, self.__audio, self.__sampling_rate)


#   *****************************************************************************************************************
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# ***                                               MAIN PROGRAM                                                    ***
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#   *****************************************************************************************************************


if __name__ == "__main__":

    speaker = "EN-BR"
    tts_maker = EasyTTS(language = "EN", speed = 0.9)

    tts_maker.speak(
        text = """
            Imagine delighting your doctors with a personalized calendar,  
            crafted from their own cherished memories.
            """,
        speaker = speaker
    )
    tts_maker.pause(seconds = 0.3)
    tts_maker.speak(
        text = """
            Every day, as they turn the page,  
            they’ll not only relive those special moments but also remember you, 
            the one who made it happen.
            """,
        speaker = speaker
    )
    tts_maker.pause(seconds = 0.75)
    tts_maker.speak(
        text = "STEP 1:",
        speaker = speaker
    )
    tts_maker.pause(seconds = 0.3)
    tts_maker.speak(
        text = "Start by identifying the doctors you’d like to engage with, and add them to our app.",
        speaker = speaker
    )
    tts_maker.pause(seconds = 0.3)
    tts_maker.speak(
        text = "No rush, you can add their photographs later as well.",
        speaker = speaker
    )
    tts_maker.pause(seconds = 0.3)
    tts_maker.speak(
        text = "With this, your engagement funnel is created.",
        speaker = speaker
    )

    tts_maker.to_wav(r"/home/developer/Downloads/voiceover.wav")