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Create utils.py
Browse files- src/utils.py +63 -0
src/utils.py
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import os
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import yt_dlp
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from pydub import AudioSegment
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import uuid
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from speechbrain.pretrained.interfaces import foreign_class
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accent_map = {
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'england': 'British',
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'us': 'American',
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'australia': 'Australian',
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'canada': 'Canadian',
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'indian': 'Indian',
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'ireland': 'Irish',
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'scotland': 'Scottish',
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'wales': 'Welsh',
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'african': 'African',
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'bermuda': 'Bermudian',
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'hong_kong': 'Hong Kong',
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'malaysia': 'Malaysian',
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'new_zealand': 'New Zealander',
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'philippines': 'Filipino',
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'singapore': 'Singaporean',
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'south_atlantic': 'South Atlantic'
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}
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def download_video_audio( url ):
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output_dir = "/tmp"
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os.makedirs( output_dir, exist_ok=True )
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unique_id = str( uuid.uuid4() )
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mp4_path = os.path.join( output_dir, f"{unique_id}.mp4" )
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wav_path = os.path.join( output_dir, f"{unique_id}.wav" )
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ydl_opts = {
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'format' : 'bestaudio/best',
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'outtmpl' : mp4_path,
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'quiet' : True,
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'noplaylist': True,
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}
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with yt_dlp.YoutubeDL( ydl_opts ) as ydl:
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ydl.download( [ url ] )
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audio = AudioSegment.from_file( mp4_path )
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audio.export( wav_path, format = "wav" )
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os.remove( mp4_path )
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return wav_path
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def classify_accent( audio_path ):
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classifier = foreign_class(
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source="Jzuluaga/accent-id-commonaccent_xlsr-en-english",
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pymodule_file="custom_interface.py",
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classname="CustomEncoderWav2vec2Classifier"
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)
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out_prob, score, index, text_lab = classifier.classify_file( audio_path )
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accent = text_lab[ 0 ].lower()
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polished_accent = accent_map.get( accent, accent.capitalize() )
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return polished_accent, score.item() * 100
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