only images

app.py

@@ -5,27 +5,9 @@ from PIL import Image, ImageDraw
 from transformers import pipeline
 from tempfile import NamedTemporaryFile
 
-audiopipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-v3")
-#imagepipe = pipeline("image-classification", model="Kaludi/food-category-classification-v2.0")
-#imagepipe = pipeline("image-classification", model="nateraw/food")
 imagepipe = pipeline("image-classification", model="flatmoon102/fruits_and_vegetables_image_classification")
 detector = pipeline(model="google/owlvit-base-patch32", task="zero-shot-object-detection")
 
-#processor = OwlViTProcessor.from_pretrained("google/owlvit-base-patch32")
-#model = OwlViTForObjectDetection.from_pretrained("google/owlvit-base-patch32")
-
-st.title('Upload an audio file for speech recognition')
-
-uploaded_audio_file = st.file_uploader("Choose an audio file (wav)")
-if uploaded_audio_file is not None:
-    with NamedTemporaryFile(suffix="wav") as temp:
-        temp.write(uploaded_audio_file.getvalue())
-        temp.seek(0)
-        result = audiopipe(temp.name)
-        st.write(result)
-
-st.title('Upload an image file to classification (food)')
-
 uploaded_image_file = st.file_uploader("Choose an image file")
 if uploaded_image_file is not None:
     with NamedTemporaryFile() as temp: