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Update app.py
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app.py
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@@ -1,5 +1,6 @@
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import gradio as gr
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import torch
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import librosa
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from glob import glob
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@@ -28,6 +29,7 @@ tokenizer_ner = AutoTokenizer.from_pretrained(model_name)
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model_ner = AutoModelForTokenClassification.from_pretrained(model_name)
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predict_ner = TokenClassificationPipeline(model=model_ner, tokenizer=tokenizer_ner)
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examples = sorted(glob(os.path.join(EXAMPLE_DIR, '*.wav')))
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def transcribe(audio_path):
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import gradio as gr
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import os
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import torch
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import librosa
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from glob import glob
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model_ner = AutoModelForTokenClassification.from_pretrained(model_name)
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predict_ner = TokenClassificationPipeline(model=model_ner, tokenizer=tokenizer_ner)
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EXAMPLE_DIR = './'
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examples = sorted(glob(os.path.join(EXAMPLE_DIR, '*.wav')))
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def transcribe(audio_path):
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