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| import logging | |
| import warnings | |
| import gradio as gr | |
| from transformers import pipeline | |
| from transformers.utils.logging import disable_progress_bar | |
| warnings.filterwarnings("ignore") | |
| disable_progress_bar() | |
| logging.basicConfig( | |
| format="%(asctime)s [%(levelname)s] [%(name)s] %(message)s", | |
| datefmt="%Y-%m-%dT%H:%M:%SZ", | |
| ) | |
| logger = logging.getLogger(__name__) | |
| logger.setLevel(logging.DEBUG) | |
| pipe = pipeline(model="bofenghuang/asr-wav2vec2-ctc-french") | |
| logger.info("ASR pipeline has been initialized") | |
| def transcribe(audio): | |
| # text = pipe(audio, chunk_length_s=30, stride_length_s=5)["text"] | |
| text = pipe(audio)["text"] | |
| logger.info(f"Transcription for {audio}: {text}") | |
| return text | |
| iface = gr.Interface( | |
| fn=transcribe, | |
| inputs=gr.Audio(source="upload", type="filepath", label="Upload some audio file..."), | |
| outputs="text", | |
| title="Speech-to-Text in French", | |
| description="Realtime demo for French automatic speech recognition.", | |
| allow_flagging="never", | |
| ) | |
| # iface.launch(server_name="0.0.0.0", debug=True, share=True) | |
| iface.launch() | |