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from pprint import pformat | |
from huggingface_hub import hf_hub_download | |
import datasets as hfd | |
import gradio as gr | |
from pipeline import PreTrainedPipeline | |
HF_HUB_URL = 'ales/wav2vec2-cv-be' | |
LM_HUB_FP = 'language_model/cv8be_5gram.bin' | |
def main(audio_fp: str): | |
# read and preprocess audio with huggingface.datasets | |
ds = hfd.Dataset.from_dict({'path': [audio_fp]}) | |
ds = ds.cast_column('path', hfd.Audio(sampling_rate=16_000, mono=True)) | |
ds = ds.rename_column('path', 'audio') | |
inputs = ds[0]['audio']['array'] | |
sampling_rate = ds[0]['audio']['sampling_rate'] | |
# download Language Model from HF Hub | |
lm_fp = hf_hub_download(repo_id=HF_HUB_URL, filename=LM_HUB_FP) | |
# init pipeline | |
pipeline = PreTrainedPipeline(model_path=HF_HUB_URL, language_model_fp=lm_fp) | |
# recognize speech | |
pipeline_res = pipeline(inputs=inputs) | |
text = pipeline_res['text'][0] # unpack batch of size 1 | |
# add technical information to the output | |
tech_data = pipeline_res | |
del tech_data['text'] | |
tech_data['sampling_rate_orig'] = sampling_rate | |
tech_data['inputs_shape'] = inputs.shape | |
tech_data['inputs_max'] = inputs.max().item() | |
tech_data['inputs_min'] = inputs.min().item() | |
tech_data_str = pformat(tech_data) | |
return text, tech_data_str | |
article = """ | |
The model used can be found here: [ales/wav2vec2-cv-be](https://huggingface.co/ales/wav2vec2-cv-be) | |
 | |
""" | |
iface = gr.Interface( | |
fn=main, | |
inputs=gr.inputs.Audio( | |
source='microphone', type='filepath', | |
label='Запішыце аўдыяфайл, каб распазнаць маўленьне' | |
), | |
outputs=[ | |
gr.outputs.Textbox(type='str', label='Распазнаны тэкст'), | |
gr.outputs.Textbox(type='str', label='Тэхнічная інфармацыя') | |
], | |
title='wav2vec2 fine-tuned on CommonVoice 8 Be + Language Model', | |
description=('Мадэль распазнаваньня беларускага маўленьня, навучаная на датсэце Common Voice 8.\n' | |
'Акустычная мадэль + моўная мадэль.' | |
), | |
article=article, | |
) | |
iface.launch(enable_queue=True) | |