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# Copyright (c) 2022 Binbin Zhang (binbzha@qq.com) | |
# 2022 Chengdong Liang (liangchengdong@mail.nwpu.edu.cn) | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
import gradio as gr | |
import wenet | |
# TODO: add hotword | |
chs_model = wenet.load_model('chinese') | |
en_model = wenet.load_model('english') | |
def recognition(audio, lang='CN'): | |
if audio is None: | |
return "Input Error! Please enter one audio!" | |
# NOTE: model supports 16k sample_rate | |
if lang == 'CN': | |
ans = chs_model.transcribe(audio) | |
elif lang == 'EN': | |
ans = en_model.transcribe(audio) | |
else: | |
return "ERROR! Please select a language!" | |
if ans is None: | |
return "ERROR! No text output! Please try again!" | |
txt = ans['text'] | |
return txt | |
# input | |
inputs = [ | |
gr.inputs.Audio(source="microphone", type="filepath", label='Input audio'), | |
gr.Radio(['EN', 'CN'], label='Language') | |
] | |
output = gr.outputs.Textbox(label="Output Text") | |
examples = [ | |
['examples/BAC009S0767W0127.wav', 'CN'], | |
['examples/BAC009S0767W0424.wav', 'CN'], | |
['examples/BAC009S0767W0488.wav', 'CN'], | |
['examples/1995-1836-0002.flac', 'EN'], | |
['examples/61-70968-0000.flac', 'EN'], | |
['examples/672-122797-0000.flac', 'EN'], | |
] | |
text = "Speech Recognition in WeNet | 基于 WeNet 的语音识别" | |
# description | |
description = ( | |
"Wenet Demo ! This is a speech recognition demo that supports Mandarin and English !" | |
) | |
article = ( | |
"<p style='text-align: center'>" | |
"<a href='https://github.com/wenet-e2e/wenet' target='_blank'>Github: Learn more about WeNet</a>" | |
"</p>") | |
interface = gr.Interface( | |
fn=recognition, | |
inputs=inputs, | |
outputs=output, | |
title=text, | |
description=description, | |
article=article, | |
examples=examples, | |
theme='huggingface', | |
) | |
interface.launch(enable_queue=True) | |