app.py

import gradio as gr
from transformers import pipeline

asr_pipeline = pipeline("automatic-speech-recognition", model="ashik1104/Bengali_wav2vec2_BERT_P")

def transcribe(audio):
    result = asr_pipeline(audio)
    return result["text"]

gradio_app = gr.Interface(
    fn=transcribe,
    inputs=gr.Audio(type="filepath", label="Upload or record audio"),
    outputs=gr.Textbox(label="Transcription"),
    title="🎤 Automatic Speech Recognition (ASR)",
    description="Upload a file or record your voice to get the transcription.",
)

if __name__ == "__main__":
    gradio_app.launch()