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import gradio as gr
from transformers import pipeline
import numpy as np
transcriber = pipeline(
"automatic-speech-recognition",
model="model",
chunk_length_s=30
)
def transcribe(audio):
sr, y = audio
y = y.astype(np.float32)
y /= np.max(np.abs(y))
return transcriber({"sampling_rate": sr, "raw": y})["text"]
demo = gr.Interface(
transcribe,
gr.Audio(),
"text",
title = "Banking-ASR",
description = "Please record/upload Banking Queries to Transcribe",
theme=gr.themes.Soft()
)
demo.launch() |