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from transformers import pipeline
import gradio as gr
pipe = pipeline(model="LadislavVasina1/whisper-base-cs-cv11-timestetch02-gain01-pitch02-gaussian02-lowpass01")
def transcribe(audio):
text = pipe(audio)["text"]
return text
gradio_app = gr.Interface(
fn=transcribe,
inputs=gr.Audio(type="filepath"),
outputs="text",
title="Whisper Base CS",
#description="Realtime demo for Czech speech recognition using a fine-tuned Whisper base model.",
)
if __name__ == "__main__":
gradio_app.launch() |