import gradio as gr
import nemo.collections.asr as nemo_asr

# Load the pre-trained Kabyle ASR model
asr_model = nemo_asr.models.EncDecRNNTBPEModel.from_pretrained("nvidia/stt_kab_conformer_transducer_large")

# Function to transcribe the audio input
def transcribe(audio):
    # Transcribe the uploaded audio file and return the result
    return asr_model.transcribe([audio])

# Create the Gradio interface with audio input and text output
iface = gr.Interface(fn=transcribe, inputs="audio", outputs="text")

# Launch the Gradio interface
iface.launch()