Add requirements

app.py

@@ -7,13 +7,15 @@ from PIL import Image
 import os
 from datasets import load_dataset
 from huggingface_hub.hf_api import HfFolder
+from sentence_transformers import SentenceTransformer, util
 HfFolder.save_token('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')
 
 ## Define model
-model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32")
-processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
-tokenizer = CLIPTokenizer.from_pretrained("openai/clip-vit-base-patch32")
-
+# model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32")
+# processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
+# tokenizer = CLIPTokenizer.from_pretrained("openai/clip-vit-base-patch32")
+from sentence_transformers import SentenceTransformer, util
+model = SentenceTransformer('clip-ViT-B-32')
 #Open the precomputed embeddings
 #emb_filename = 'unsplash-25k-photos-embeddings.pkl'
 ds_with_embeddings = load_dataset("kvriza8/image-embeddings", use_auth_token=True)