Update app.py
Browse files
app.py
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import gradio as gr
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import nemo.collections.asr as nemo_asr
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asr_model = nemo_asr.models.EncDecRNNTBPEModel.from_pretrained("nvidia/stt_kab_conformer_transducer_large")
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import gradio as gr
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import nemo.collections.asr as nemo_asr
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# Load the pre-trained Kabyle ASR model
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asr_model = nemo_asr.models.EncDecRNNTBPEModel.from_pretrained("nvidia/stt_kab_conformer_transducer_large")
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# Function to transcribe the audio input
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def transcribe(audio):
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# Transcribe the uploaded audio file and return the result
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return asr_model.transcribe([audio])
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# Create the Gradio interface with audio input and text output
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iface = gr.Interface(fn=transcribe, inputs="audio", outputs="text")
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# Launch the Gradio interface
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iface.launch()
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