Update app.py

app.py

@@ -57,6 +57,7 @@ def T2Isearch(query, k=50):
     outputs = text_model(**inputs)
     query_embedding = outputs.text_embeds
     query_vector = query_embedding.detach().numpy()
+    # query_vector = np.concatenate((query_vector[0], query_vector[1]), dtype=np.float32)
     query_vector = query_vector.reshape(1,512)
     faiss.normalize_L2(query_vector)
     index.nprobe = index.ntotal