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import logging |
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import torch |
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import librosa |
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import soundfile as sf |
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from io import BytesIO |
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from .config import pipe_tts |
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from streamlit_TTS import auto_play, text_to_audio |
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SAMPLING_RATE = 16000 |
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class T2A: |
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def __init__(self, input_text: str): |
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self.output_model = pipe_tts(input_text) |
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def __get_duration(self, raw: bytes): |
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chunk = BytesIO(raw) |
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audio, sample_rate = librosa.load(chunk, sr=SAMPLING_RATE) |
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duration = librosa.get_duration(y=audio, sr=sample_rate) |
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return duration |
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def autoplay(self, text: str, language: str = "en") -> None: |
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if text is not None: |
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if isinstance(text, str): |
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audio = text_to_audio(text, language=language) |
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auto_play(audio) |
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else: |
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text = f"Text you provide is {type(text)} accepted only string type" |
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audio = text_to_audio(text, language=language) |
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auto_play(audio) |
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else: |
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raise Exception("Text is None") |
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def get_audio(self): |
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try: |
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synth = self.output_model["audio"][0] |
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print(f"synth : {synth}") |
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with BytesIO() as buffer: |
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sf.write(buffer, synth, SAMPLING_RATE, format='wav') |
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output = buffer.getvalue() |
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print(f"type : {type(output)}") |
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duration = self.__get_duration(output) |
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print(f"duration : {duration}") |
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return output, SAMPLING_RATE, duration |
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except Exception as e: |
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logging.error(e) |
