Update recommendation.py

recommendation.py

@@ -23,7 +23,7 @@ image_embedding_index = Indexer(latent_data)
 
 def get_recommendations(image, title):
 #   title = [dataset[product_id]['title']]
-  title_embeds = model.encode(title, normalize_embeddings=True)
+  title_embeds = model.encode([title], normalize_embeddings=True)
   image = transforms.ToTensor()(image.convert("L"))
   image_embeds =  encoder(image).detach().numpy()