# app.py – FIXED – notar Secrets token (ekki harðkóðað)
import os
import gradio as gr
from transformers import pipeline

# Módel nafnið (þitt private)
MODEL_NAME = "palli23/whisper-small-sam_spjall"

# Nota Secrets token – aldrei sýnilegt
pipe = pipeline(
    "automatic-speech-recognition",
    model=MODEL_NAME,
    device=0,
    token=os.getenv("HF_TOKEN")  # ← þetta notar Secrets token
)

def transcribe(audio):
    if not audio:
        return "Hladdu upp hljóð"
    result = pipe(audio)
    return result["text"]

with gr.Blocks(theme=gr.themes.Soft()) as demo:
    gr.Markdown("# Íslenskt ASR – Beta")
    gr.Markdown("Whisper-small · ~4–5 % WER")
    
    audio = gr.Audio(type="filepath")
    btn = gr.Button("Transcribe")
    out = gr.Textbox(lines=20)
    
    btn.click(transcribe, audio, out)

demo.launch(auth=("beta", "beta2025"))