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import gradio as gr
from transformers import pipeline
p = pipeline("automatic-speech-recognition", model="techiaith/wav2vec2-xlsr-ft-cy", decoder = "Wav2Vec2ProcessorWithLM")
def transcribe(audio):
text = p(audio)["text"]
return text
demo = gr.Interface(
transcribe,
gr.Audio(sources=["microphone"], type="filepath"),
"text",
)
demo.launch()
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