Commit
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ea8b34f
1
Parent(s):
cb71106
Update app.py
Browse files
app.py
CHANGED
@@ -2,13 +2,24 @@ import soundfile as sf
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import torch
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from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
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import gradio as gr
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def parse_transcription(wav_file):
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logits = model(input_values).logits
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predicted_ids = torch.argmax(logits, dim=-1)
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@@ -17,6 +28,11 @@ def parse_transcription(wav_file):
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return transcription
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processor = Wav2Vec2Processor.from_pretrained("Harveenchadha/vakyansh-wav2vec2-hindi-him-4200")
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model = Wav2Vec2ForCTC.from_pretrained("Harveenchadha/vakyansh-wav2vec2-hindi-him-4200")
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import torch
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from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
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import gradio as gr
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import sox
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def convert(inputfile, outfile):
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sox_tfm = sox.Transformer()
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sox_tfm.set_output_format(
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file_type="wav", channels=1, encoding="signed-integer", rate=16000, bits=16
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)
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sox_tfm.build(inputfile, outfile)
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def parse_transcription(wav_file):
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filename = wav_file.name.split('.')[0]
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convert(wav_file.name, filename + "16k.wav")
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speech, _ = sf.read(filename + "16k.wav")
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input_values = processor(speech, sampling_rate=16_000, return_tensors="pt").input_values
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logits = model(input_values).logits
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predicted_ids = torch.argmax(logits, dim=-1)
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return transcription
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processor = Wav2Vec2Processor.from_pretrained("Harveenchadha/vakyansh-wav2vec2-hindi-him-4200")
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model = Wav2Vec2ForCTC.from_pretrained("Harveenchadha/vakyansh-wav2vec2-hindi-him-4200")
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processor = Wav2Vec2Processor.from_pretrained("Harveenchadha/vakyansh-wav2vec2-hindi-him-4200")
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model = Wav2Vec2ForCTC.from_pretrained("Harveenchadha/vakyansh-wav2vec2-hindi-him-4200")
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