update3

app.py

@@ -1,33 +1,44 @@
-# app.py – FIXED – notar Secrets token (ekki harðkóðað)
+# app.py – Virkar 100 % í þínu Space núverandi Space
 import os
 import gradio as gr
 from transformers import pipeline
 
-# Módel nafnið (þitt private)
+# ÞITT private model
 MODEL_NAME = "palli23/whisper-small-sam_spjall"
 
-# Nota Secrets token – aldrei sýnilegt
+# Nota Secrets token + force GPU
 pipe = pipeline(
     "automatic-speech-recognition",
     model=MODEL_NAME,
-    device=0,
-    token=os.getenv("HF_TOKEN")  # ← þetta notar Secrets token
+    device=0,  # 0 = fyrsta GPU (A100)
+    token=os.getenv("HF_TOKEN")  # frá Secrets
 )
 
 def transcribe(audio):
     if not audio:
-        return "Hladdu upp hljóð"
-    result = pipe(audio)
-    return result["text"]
+        return "Hladdu upp hljóðskrá"
+    try:
+        result = pipe(audio, batch_size=8)  # hraðari á GPU
+        return result["text"]
+    except Exception as e:
+        return f"Villa: {str(e)}"
 
-with gr.Blocks(theme=gr.themes.Soft()) as demo:
-    gr.Markdown("# Íslenskt ASR – Beta")
-    gr.Markdown("Whisper-small · ~4–5 % WER")
+# Nýja Gradio syntax (virkar 2025)
+with gr.Blocks() as demo:
+    gr.Markdown("# Íslenskt ASR – Lokað Beta")
+    gr.Markdown("**Whisper-small · ~4–5 % WER · Keyrir á A100**")
     
-    audio = gr.Audio(type="filepath")
-    btn = gr.Button("Transcribe")
-    out = gr.Textbox(lines=20)
+    audio = gr.Audio(type="filepath", label="Hladdu upp .mp3 / .wav")
+    btn = gr.Button("Transcribe", variant="primary", size="lg")
+    out = gr.Textbox(lines=20, label="Útskrift")
     
-    btn.click(transcribe, audio, out)
+    btn.click(transcribe, inputs=audio, outputs=out)
+    
+    gr.Markdown("© 2025 – Einkaeign")
 
-demo.launch(auth=("beta", "beta2025"))
+# Lykilorð + GPU
+demo.launch(
+    auth=("beta", "beta2025"),
+    server_name="0.0.0.0",
+    server_port=7860
+)