link should be shareable already

app.py

@@ -1,9 +1,8 @@
+import gradio as gr
 from transformers import pipeline
 
 pipe = pipeline(model="LudvigDoeser/swedish_asr_model_training")  # change to "your-username/the-name-you-picked"
 
-import gradio as gr
-
 def transcribe(audio):
     text = pipe(audio)["text"]
     return text
@@ -16,4 +15,4 @@ iface = gr.Interface(
     description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
 )
 
-iface.launch(share=True)
+iface.launch()