Update hf_retrieval.py

hf_retrieval.py

@@ -15,9 +15,8 @@ checkpoint_path = "finetuned_clip.pt"
 model.load_state_dict(torch.load(checkpoint_path, map_location="cpu"))
 model.eval()
 
-print("QDRANT_CLOUD_URL:", os.environ["QDRANT_CLOUD_URL"])
-print("QDRANT_API_KEY:", os.environ["QDRANT_API_KEY"])
-print("Type of API key:", type(os.environ["QDRANT_API_KEY"]))
+print("Type of QDRANT_CLOUD_URL:", type(os.environ["QDRANT_CLOUD_URL"]))
+print("Type of QDRANT_API_KEY:", type(os.environ["QDRANT_API_KEY"]))
 
 qdrant = QdrantClient(url=os.environ["QDRANT_CLOUD_URL"],
     api_key=["QDRANT_API_KEY"])