import gradio as gr
from transformers import pipeline

# Load the model
asr = pipeline("automatic-speech-recognition", model="Abdallahsadek/speech-to-text-model2")

# Transcription function
def transcribe(audio):
    return asr(audio)["text"]

# Gradio interface
interface = gr.Interface(
    fn=transcribe,
    inputs=gr.Audio(sources=["microphone", "upload"], type="filepath"),
    outputs="text",
    title="🎙️ Speech-to-Text",
    description="Speak or upload an audio file to transcribe it using Hugging Face model.",
)

interface.launch()