Update app.py

app.py

@@ -1,31 +1,18 @@
 from transformers import pipeline
 import gradio as gr
 
-pipe = pipeline(model="vasi001/whisper-small")
-
-
-def transcribe(rec=None, file=None):
-    if rec is not None:
-        audio = rec
-    elif file is not None:
-        audio = file
-    else:
-        return "Provide a recording or a file."
+pipe = pipeline(model="vasi001/Whisper-small")  # change to "your-username/the-name-you-picked"
 
+def transcribe(audio):
     text = pipe(audio)["text"]
     return text
 
-
 iface = gr.Interface(
-    fn=transcribe,
-    inputs=[
-        gr.Audio(source="microphone", type="filepath", optional=True),
-        gr.Audio(source="upload", type="filepath", optional=True),
-    ],
+    fn=transcribe, 
+    inputs=gr.Audio(source="microphone", type="filepath"), 
     outputs="text",
     title="Whisper Small Swedish",
-    description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper model.",
+    description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
 )
 
-
-iface.launch()
+iface.launch()