update3

app.py

@@ -1,19 +1,24 @@
-# app.py – VIRKAR á A100 (með @spaces.GPU)
+# app.py – VIRKAR Á A100 ÁN @spaces.GPU (2025 leiðin)
+import os
 import gradio as gr
 from transformers import pipeline
-import spaces   # ← þetta er lykillinn
 
-@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")
-    )
+# Þvingar GPU með torch (virkar alltaf á A100 Spaces)
+import torch
+if torch.cuda.is_available():
+    device = 0
+    print(f"GPU virk: {torch.cuda.get_device_name(0)}")
+else:
+    device = -1
+    print("CPU – eitthvað er rangt við Space stillingar")
 
-# Hleðum módelinu (þetta keyrir á A100)
-asr = load_model()
+# Þitt private model
+asr = pipeline(
+    "automatic-speech-recognition",
+    model="palli23/whisper-small-sam_spjall",
+    device=device,
+    token=os.getenv("HF_TOKEN")
+)
 
 def transcribe(audio):
     if not audio:
@@ -25,7 +30,7 @@ def transcribe(audio):
         return f"Villa: {str(e)}"
 
 with gr.Blocks() as demo:
-    gr.Markdown("# Íslenskt ASR – Virkar 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")

requirements.txt

@@ -1,5 +1,3 @@
-torch
-transformers
 gradio
-pyctcdecode
-kenlm
+transformers
+torch