Update app.py

app.py

@@ -1,9 +1,9 @@
 from transformers import pipeline
 import gradio as gr
-from os import listdir
 import glob
 pipe = pipeline(model="fimster/whisper-small-sv-SE")  # change to "your-username/the-name-you-picked"
-
+images = ["katt", "melon", "hund", "banan"]
+print(glob.glob("./images/"))
 
 def transcribe(audio):
     text = pipe(audio)["text"]
@@ -12,9 +12,12 @@ def transcribe(audio):
 iface = gr.Interface(
     fn=transcribe, 
     inputs=gr.Audio(source="microphone", type="filepath"), 
+    # image = 
+    # image = gr.Image(),
     outputs="text",
     title="Whisper Small Swedish",
     description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
 )
 
+
 iface.launch()