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import gradio as gr
from transformers import pipeline
import torch
import os
from huggingface_hub import login
#login(token=os.environ.get("HF_TOKEN"))
pipe = pipeline("automatic-speech-recognition", model="aisha-org/Whisper-Uzbek")
def transcribe_audio(audio_file):
result = pipe(audio_file)
return result["text"]
iface = gr.Interface(
fn=transcribe_audio,
inputs=gr.Audio(type="filepath"),
outputs="text",
title="Audio Transcription",
# description=""
)
iface.launch() |