Spaces:
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A10G
Running
on
A10G
vineelpratap
commited on
Commit
•
5442f52
1
Parent(s):
a45002a
Update asr.py
Browse files
asr.py
CHANGED
@@ -20,50 +20,52 @@ processor = AutoProcessor.from_pretrained(MODEL_ID)
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model = Wav2Vec2ForCTC.from_pretrained(MODEL_ID)
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lm_decoding_config = {}
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lm_decoding_configfile = hf_hub_download(
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with open(lm_decoding_configfile) as f:
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# allow language model decoding for "eng"
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decoding_config = lm_decoding_config["eng"]
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lm_file = hf_hub_download(
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token_file = hf_hub_download(
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lexicon_file = None
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if decoding_config["lexiconfile"] is not None:
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beam_search_decoder = ctc_decoder(
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lexicon=lexicon_file,
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tokens=token_file,
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lm=lm_file,
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nbest=1,
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beam_size=500,
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beam_size_token=50,
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lm_weight=float(decoding_config["lmweight"]),
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word_score=float(decoding_config["wordscore"]),
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sil_score=float(decoding_config["silweight"]),
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blank_token="<s>",
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)
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def transcribe(
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audio_source=None, microphone=None, file_upload=None, lang="eng (English)"
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model = Wav2Vec2ForCTC.from_pretrained(MODEL_ID)
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# lm_decoding_config = {}
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# lm_decoding_configfile = hf_hub_download(
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# repo_id="facebook/mms-cclms",
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# filename="decoding_config.json",
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# subfolder="mms-1b-all",
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# )
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# with open(lm_decoding_configfile) as f:
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# lm_decoding_config = json.loads(f.read())
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# # allow language model decoding for "eng"
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# decoding_config = lm_decoding_config["eng"]
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# lm_file = hf_hub_download(
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# repo_id="facebook/mms-cclms",
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# filename=decoding_config["lmfile"].rsplit("/", 1)[1],
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# subfolder=decoding_config["lmfile"].rsplit("/", 1)[0],
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# )
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# token_file = hf_hub_download(
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# repo_id="facebook/mms-cclms",
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# filename=decoding_config["tokensfile"].rsplit("/", 1)[1],
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# subfolder=decoding_config["tokensfile"].rsplit("/", 1)[0],
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# )
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# lexicon_file = None
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# if decoding_config["lexiconfile"] is not None:
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# lexicon_file = hf_hub_download(
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# repo_id="facebook/mms-cclms",
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# filename=decoding_config["lexiconfile"].rsplit("/", 1)[1],
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# subfolder=decoding_config["lexiconfile"].rsplit("/", 1)[0],
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# )
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beam_search_decoder = None
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# beam_search_decoder = ctc_decoder(
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# lexicon=lexicon_file,
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# tokens=token_file,
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# lm=lm_file,
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# nbest=1,
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# beam_size=500,
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# beam_size_token=50,
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# lm_weight=float(decoding_config["lmweight"]),
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# word_score=float(decoding_config["wordscore"]),
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# sil_score=float(decoding_config["silweight"]),
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# blank_token="<s>",
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# )
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def transcribe(
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audio_source=None, microphone=None, file_upload=None, lang="eng (English)"
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