Update app.py

app.py

@@ -25,7 +25,7 @@ unique_pairs = [(item[0], item[1]) for item in training_pairs if item[0] not in
 coco_images, _ = zip(*unique_pairs)
 
 # Load model (update)
-model = OneEncoder.from_pretrained("bilalfaye/OneEncoder-texte-image-audio")
+model = OneEncoder.from_pretrained("bilalfaye/OneEncoder-text-image-audio")
 
 # Load coco image features
 coco_image_features = torch.load("image_embeddings_best.pt", map_location=CFG.device)