update carousel

app.py

@@ -60,7 +60,7 @@ def retrieve(query_image_name, embeddings_type, metric_type):
 input_button = gr.inputs.Dropdown(query_images, label='Choice of the query image')
 embeddings_selection = gr.inputs.Radio(['MobileNetV2', 'BoVW', 'Baseline'], label='Embeddings')
 metric_selection = gr.inputs.Radio(['Euclidean', 'Cosine'], label='Similarity Metric')
-retrieved_images = gr.outputs.Carousel(["image"]*10, label='Retrieved images')
+retrieved_images = gr.outputs.Carousel(["image"], label='Retrieved images')
 
 description = "This is a demo of the content-based image retrieval system developed as part of the IR course project, 2022. The indexed dataset is [INRIA Holidays](https://lear.inrialpes.fr/~jegou/data.php). \n\nSeveral image embeddings can be used :\n \n-**MobileNetV2** : feature extraction is performed using a MobileNet architecture trained on ImageNet.\n\n-**BoVW (Bag of Visual Words)** : embedding is the BoVW histogram using color histogram as a descriptor.\n\n-**Baseline** : basic descriptor that uses pixel values of the downsized images."
 
@@ -70,4 +70,4 @@ iface = gr.Interface(fn=retrieve,
                      title='Image Retrieval on INRIA Holidays',
                      article=description)
                      
-iface.launch()
+iface.launch()