Update app.py

app.py

@@ -24,7 +24,7 @@ dataset_embeddings = torch.tensor(embeddings, device='cpu')
 model = SentenceTransformer('sentence-transformers/clip-ViT-B-32', device='cpu')
 translator = GoogleTranslator(source='auto', target='en')
 
-def get_recommendations(text_input, top_k=10):
+def get_recommendations(text_input, top_k=3):
     query_embedding = model.encode(text_input, convert_to_tensor=True, device='cpu')
     similarities = util.cos_sim(query_embedding, dataset_embeddings)[0]
     top_indices = similarities.argsort(descending=True)[:top_k]