Restore base functionality

Co-authored-by: Emil Karlsson <own.emka@gmail.com>

.gitignore

@@ -1 +1,2 @@
-flagged
+flagged
+__pycache__

app.py

@@ -1,29 +1,24 @@
 from transformers import pipeline
 import gradio as gr
-import torch
 
-def detect_gpu():
-    if not torch.cuda.is_available():
-        print("No GPU device found")
-        exit()
-    
-    print(f"Found {torch.cuda.device_count()} GPU device(s)")
-    print(f"Using {torch.cuda.get_device_name(0)}")
-    
-detect_gpu()
+pipe = pipeline(model="pierrelf/whisper-small-sv")
 
-pipe = pipeline(model="pierrelf/whisper-small-sv", device=0)
 
 def transcribe(audio):
     text = pipe(audio)["text"]
     return text
 
+
 iface = gr.Interface(
     fn=transcribe,
-    inputs=gr.Audio(sources=['upload', 'microphone'], type="filepath"),
-    outputs="text",
+    inputs=gr.Audio(sources=["upload", "microphone"], type="filepath"),
+    outputs=gr.Text(label="Model output"),
     title="Whisper Swedish",
     description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
 )
 
-iface.launch(server_name="0.0.0.0")
+
+iface.launch(
+    server_name="0.0.0.0",
+    share=False,
+)