khushalps
22abf16a50
git-subtree-dir: utils_v2 git-subtree-split: ac9e5c331d9da4be516c6149cbdc9b5ebc19aa64
176 lines
6.1 KiB
Python
176 lines
6.1 KiB
Python
"""
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AUTHOR:
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Khushal P Soonderji
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DATE:
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Thursday, 26th Sept., 2024
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OBJECTIVE:
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To provide a fast way to make audio from TTS engines.
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REFERENCES:
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01. Usage: https://github.com/myshell-ai/MeloTTS/blob/main/docs/install.md#python-api
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02. Installation: https://github.com/myshell-ai/MeloTTS/blob/main/docs/install.md#linux-and-macos-install
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DOWNLOADS:
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N/A
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"""
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# *****************************************************************************************************************
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# ***** ****
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# *** IMPORT ***
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# ***** ****
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# *****************************************************************************************************************
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# To make sibling directories accessible for imports:
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import sys
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sys.path.append(".")
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sys.path.append("..")
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# System-level activities:
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import io
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# To use the AI:
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from melo.api import TTS
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import numpy as np
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import soundfile
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# *****************************************************************************************************************
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# ***** ****
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# *** MACROS / ONE-TIME INIT ***
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# ***** ****
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# *****************************************************************************************************************
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# --- Nothing Yet
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# *****************************************************************************************************************
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# ***** ****
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# *** VARIABLES ***
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# ***** ****
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# *****************************************************************************************************************
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# --- Nothing Yet
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# *****************************************************************************************************************
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# ***** ****
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# *** CLASSES ***
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# ***** ****
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# *****************************************************************************************************************
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class EasyTTS:
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__sampling_rate = 44_100
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def __init__(
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self,
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language = "EN",
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speed = 1.0
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):
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self.__audio = np.zeros(1)
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self.__language = language
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self.__speed = speed
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self.__model = TTS(language = language, device = "auto")
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self.__speakers = self.__model.hps.data.spk2id
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def list_speakers(self):
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return list(self.__speakers.keys())
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def speak(
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self,
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text,
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speaker
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):
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this_audio = self.__model.tts_to_file(
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text,
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self.__speakers[speaker],
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speed = self.__speed,
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quiet = True
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)
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self.__audio = np.concatenate((self.__audio, this_audio))
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def pause(self, seconds):
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self.__audio = np.concatenate((
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self.__audio,
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np.zeros(int(self.__sampling_rate * seconds))
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))
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def to_wav(self, path = None):
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if path is None:
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audio_buffer = io.BytesIO()
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soundfile.write(audio_buffer, self.__audio, self.__sampling_rate)
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return audio_buffer
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else: soundfile.write(path, self.__audio, self.__sampling_rate)
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# *****************************************************************************************************************
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# ***** ****
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# *** MAIN PROGRAM ***
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# ***** ****
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# *****************************************************************************************************************
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if __name__ == "__main__":
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speaker = "EN-BR"
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tts_maker = EasyTTS(language = "EN", speed = 0.9)
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tts_maker.speak(
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text = """
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Imagine delighting your doctors with a personalized calendar,
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crafted from their own cherished memories.
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""",
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speaker = speaker
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)
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tts_maker.pause(seconds = 0.3)
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tts_maker.speak(
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text = """
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Every day, as they turn the page,
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they’ll not only relive those special moments but also remember you,
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the one who made it happen.
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""",
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speaker = speaker
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)
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tts_maker.pause(seconds = 0.75)
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tts_maker.speak(
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text = "STEP 1:",
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speaker = speaker
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)
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tts_maker.pause(seconds = 0.3)
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tts_maker.speak(
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text = "Start by identifying the doctors you’d like to engage with, and add them to our app.",
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speaker = speaker
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)
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tts_maker.pause(seconds = 0.3)
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tts_maker.speak(
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text = "No rush, you can add their photographs later as well.",
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speaker = speaker
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)
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tts_maker.pause(seconds = 0.3)
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tts_maker.speak(
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text = "With this, your engagement funnel is created.",
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speaker = speaker
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)
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tts_maker.to_wav(r"/home/developer/Downloads/voiceover.wav")
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