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import nemo.collections.asr as nemo_asr
import gradio as gr
asr_model = nemo_asr.models.EncDecCTCModelBPE.from_pretrained(model_name="stt_rw_conformer_ctc_large")
def transcribe(file):
#if not audio:
# return {state_var: state, transcription_var: state}
print("filename: ",file)
transcription= asr_model.transcribe([file])
print(transcription)
return transcription[0]
with gr.Blocks() as demo:
state_var = gr.State("")
with gr.Row():
with gr.Column():
uploaded_audio = gr.Audio(label="Upload Audio File", type="filepath")
with gr.Column():
transcription_var = gr.Textbox(type="text", label="Transcription")
with gr.Row():
transcribe_button = gr.Button("Transcribe")
transcribe_button.click(
transcribe,
[uploaded_audio],
)
demo.launch() |