forked from React-Group/interstellar_ai
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
import io
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from faster_whisper import WhisperModel
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from pydub import AudioSegment
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class VoiceRecognition:
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@staticmethod
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def recognition(audio):
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# Read the audio file into a BytesIO buffer
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audio_buffer = io.BytesIO(audio.read())
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# Load the audio file using pydub
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audio_segment = AudioSegment.from_file(audio_buffer, format="ogg")
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# Export the audio to a WAV format in a BytesIO buffer
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wav_io = io.BytesIO()
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audio_segment.export(wav_io, format="wav")
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wav_io.seek(0) # Reset the buffer pointer to the start
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# Load the Whisper model
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model_size = "base" # Specify the model size
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model = WhisperModel(model_size, device="cpu", compute_type="int8")
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# Transcribe the audio
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segments, _ = model.transcribe(wav_io)
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transcription = ""
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# Combine the transcribed segments into a single string
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for segment in segments:
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transcription += segment.text + " "
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result = transcription.strip() # Strip any leading/trailing whitespace
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return result
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