Update app.py

app.py

@@ -2,8 +2,8 @@ import torch
 from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
 import gradio as gr
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
-torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
+device = "cpu"  # Free CPU only
+torch_dtype = torch.float32
 
 model_id = "KBLab/kb-whisper-large"
 
@@ -30,6 +30,6 @@ gr.Interface(
     fn=transcribe,
     inputs=gr.Audio(source="upload", type="filepath", label="Upload Swedish Audio"),
     outputs=gr.Textbox(label="Transcribed Text"),
-    title="KB-Whisper Swedish Transcriber",
-    description="Transcribes Swedish audio using KBLab's Whisper Large model."
+    title="KB-Whisper Transcriber (Swedish, Free CPU)",
+    description="Transcribes Swedish audio using KBLab's Whisper Large model. Running on free CPU — may be slow."
 ).launch()