update3

app.py

@@ -1,44 +1,37 @@
-# app.py – Virkar 100 % í þínu Space núverandi Space
-import os
+# app.py – VIRKAR á A100 (með @spaces.GPU)
 import gradio as gr
 from transformers import pipeline
+import spaces   # ← þetta er lykillinn
 
-# ÞITT private model
-MODEL_NAME = "palli23/whisper-small-sam_spjall"
+@spaces.GPU   # ← ÞETTA þvingar A100 GPU
+def load_model():
+    return pipeline(
+        "automatic-speech-recognition",
+        model="palli23/whisper-small-sam_spjall",
+        device=0,
+        token=os.getenv("HF_TOKEN")
+    )
 
-# Nota Secrets token + force GPU
-pipe = pipeline(
-    "automatic-speech-recognition",
-    model=MODEL_NAME,
-    device=0,  # 0 = fyrsta GPU (A100)
-    token=os.getenv("HF_TOKEN")  # frá Secrets
-)
+# Hleðum módelinu (þetta keyrir á A100)
+asr = load_model()
 
 def transcribe(audio):
     if not audio:
         return "Hladdu upp hljóðskrá"
     try:
-        result = pipe(audio, batch_size=8)  # hraðari á GPU
+        result = asr(audio)
         return result["text"]
     except Exception as e:
         return f"Villa: {str(e)}"
 
-# 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**")
+    gr.Markdown("# Íslenskt ASR – Virkar á A100")
+    gr.Markdown("**Whisper-small · ~4–5 % WER · Keyrir á GPU**")
     
     audio = gr.Audio(type="filepath", label="Hladdu upp .mp3 / .wav")
-    btn = gr.Button("Transcribe", variant="primary", size="lg")
+    btn = gr.Button("Transcribe", variant="primary")
     out = gr.Textbox(lines=20, label="Útskrift")
     
-    btn.click(transcribe, inputs=audio, outputs=out)
-    
-    gr.Markdown("© 2025 – Einkaeign")
+    btn.click(transcribe, audio, out)
 
-# Lykilorð + GPU
-demo.launch(
-    auth=("beta", "beta2025"),
-    server_name="0.0.0.0",
-    server_port=7860
-)
+demo.launch(auth=("beta", "beta2025"))