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| import soundfile as sf | |
| import librosa | |
| import torch | |
| from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor | |
| import gradio as gr | |
| import os | |
| api_token = os.getenv("API_TOKEN") | |
| model_name = "indonesian-nlp/wav2vec2-indonesian-javanese-sundanese" | |
| processor = Wav2Vec2Processor.from_pretrained(model_name, use_auth_token=api_token) | |
| model = Wav2Vec2ForCTC.from_pretrained(model_name, use_auth_token=api_token) | |
| device = "cuda" if torch.cuda.is_available() else "cpu" | |
| model = model.to(device) | |
| def convert(inputfile, outfile): | |
| target_sr = 16000 | |
| data, sample_rate = librosa.load(inputfile) | |
| data = librosa.resample(data, orig_sr=sample_rate, target_sr=target_sr) | |
| sf.write(outfile, data, target_sr) | |
| def parse_transcription(wav_file): | |
| filename = wav_file.name.split('.')[0] | |
| convert(wav_file.name, filename + "16k.wav") | |
| speech, _ = sf.read(filename + "16k.wav") | |
| input_values = processor(speech, sampling_rate=16_000, return_tensors="pt").input_values | |
| input_values = input_values.to(device) | |
| logits = model(input_values).logits | |
| predicted_ids = torch.argmax(logits, dim=-1) | |
| transcription = processor.decode(predicted_ids[0], skip_special_tokens=True) | |
| return transcription | |
| output = gr.outputs.Textbox(label="The transcript") | |
| input_ = gr.inputs.Audio(source="microphone", type="file") | |
| examples = [ | |
| ["sample_indonesian_01.mp3"], | |
| ["sample_indonesian_02.mp3"], | |
| ["sample_javanese_01.mp3"], | |
| ["sample_sundanese_01.mp3"] | |
| ] | |
| gr.Interface(parse_transcription, inputs=input_, outputs=[output], | |
| analytics_enabled=False, | |
| title="Multilingual Speech Recognition for Indonesian Languages", | |
| description="Automatic Speech Recognition Live Demo for Indonesian, Javanese and Sundanese Language", | |
| article="This demo was built for the project " | |
| "<a href='https://github.com/indonesian-nlp/multilingual-asr' target='_blank'>Multilingual Speech Recognition for Indonesian Languages</a>. " | |
| "It uses the <a href='https://huggingface.co/indonesian-nlp/wav2vec2-indonesian-javanese-sundanese' target='_blank'>indonesian-nlp/wav2vec2-indonesian-javanese-sundanese</a> model " | |
| "which was fine-tuned on Indonesian Common Voice, Javanese and Sundanese OpenSLR speech datasets.", | |
| examples=examples | |
| ).launch( inline=False, server_name="0.0.0.0", show_tips=False, enable_queue=True) | |