Add requirements

app.py

@@ -19,7 +19,8 @@ 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)
-img_names, img_emb = ds_with_embeddings['train']['image'], ds_with_embeddings['train']['embeddings']
+ds_with_embeddings['train'].add_faiss_index(column='embeddings')
+# img_names, img_emb = ds_with_embeddings['train']['image'], ds_with_embeddings['train']['embeddings']
 # with open(emb_filename, 'rb') as fIn:
 #         img_names, img_emb = pickle.load(fIn)
 #         #print(f'img_emb: {print(img_emb)}')

requirements.txt

@@ -1,4 +1,5 @@
 transformers
 sentence-transformers
 torch
-gradio
+gradio
+faiss