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| # Copyright (c) 2022 Horizon Robotics. (authors: Binbin Zhang) | |
| # 2022 Chengdong Liang ([email protected]) | |
| # | |
| # 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 json | |
| import gradio as gr | |
| import wenetruntime as wenet | |
| import librosa | |
| wenet.set_log_level(2) | |
| decoder_cn = wenet.Decoder(lang='chs') | |
| decoder_en = wenet.Decoder(lang='en') | |
| def recognition(audio, lang='CN'): | |
| if audio is None: | |
| return "Input Error! Please enter one audio!" | |
| y, _ = librosa.load(audio, sr=16000) | |
| # NOTE: model supports 16k sample_rate | |
| y = (y * (1 << 15)).astype("int16") | |
| if lang == 'CN': | |
| ans = decoder_cn.decode(y.tobytes(), True) | |
| elif lang == 'EN': | |
| ans = decoder_en.decode(y.tobytes(), True) | |
| else: | |
| return "ERROR! Please select a language!" | |
| if ans is None: | |
| return "ERROR! No text output! Please try again!" | |
| # NOTE: ans (json) | |
| # { | |
| # 'nbest' : [{"sentence" : ""}], 'type' : 'final_result | |
| # } | |
| ans = json.loads(ans) | |
| txt = ans['nbest'][0]['sentence'] | |
| 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) | |