testing local qdrant

app.py

@@ -48,46 +48,46 @@ scheduler = CommitScheduler(
 # hence, comment out line below when creating for first time
 #vectorstores = load_new_chunks()
 # once the vectore embeddings  are created we will use qdrant client to access these
-# vectorstores = get_local_qdrant()
+vectorstores = get_local_qdrant()
 
 # Configure cloud Qdrant client #TESTING
-def get_cloud_qdrant():
-    from langchain_community.embeddings import HuggingFaceEmbeddings
-    from langchain_community.vectorstores import Qdrant
-    from torch import cuda
+# def get_cloud_qdrant():
+#     from langchain_community.embeddings import HuggingFaceEmbeddings
+#     from langchain_community.vectorstores import Qdrant
+#     from torch import cuda
     
-    # Get config and setup embeddings like in process_chunks.py
-    model_config = getconfig("model_params.cfg")
-    device = 'cuda' if cuda.is_available() else 'cpu'
+#     # Get config and setup embeddings like in process_chunks.py
+#     model_config = getconfig("model_params.cfg")
+#     device = 'cuda' if cuda.is_available() else 'cpu'
     
-    embeddings = HuggingFaceEmbeddings(
-        model_kwargs = {'device': device},
-        encode_kwargs = {'normalize_embeddings': True},
-        model_name=model_config.get('retriever','MODEL')
-    )
+#     embeddings = HuggingFaceEmbeddings(
+#         model_kwargs = {'device': device},
+#         encode_kwargs = {'normalize_embeddings': True},
+#         model_name=model_config.get('retriever','MODEL')
+#     )
     
-    # Get Qdrant API key from environment variable
-    qdrant_api_key = os.getenv("QDRANT")
-    if not qdrant_api_key:
-        raise ValueError("QDRANT API key not found in environment variables")
+#     # Get Qdrant API key from environment variable
+#     qdrant_api_key = os.getenv("QDRANT")
+#     if not qdrant_api_key:
+#         raise ValueError("QDRANT API key not found in environment variables")
     
-    # Create the Qdrant client
-    client = QdrantClient(
-        url="https://ff3f0448-0a00-470e-9956-49efa3071db3.europe-west3-0.gcp.cloud.qdrant.io:6333", 
-        api_key=qdrant_api_key,
-    )
+#     # Create the Qdrant client
+#     client = QdrantClient(
+#         url="https://ff3f0448-0a00-470e-9956-49efa3071db3.europe-west3-0.gcp.cloud.qdrant.io:6333", 
+#         api_key=qdrant_api_key,
+#     )
     
-    # Wrap the client in Langchain's Qdrant vectorstore
-    vectorstore = Qdrant(
-        client=client,
-        collection_name="allreports",
-        embeddings=embeddings,
-    )
+#     # Wrap the client in Langchain's Qdrant vectorstore
+#     vectorstore = Qdrant(
+#         client=client,
+#         collection_name="allreports",
+#         embeddings=embeddings,
+#     )
     
-    return {"allreports": vectorstore}
+#     return {"allreports": vectorstore}
 
-# Replace local Qdrant with cloud Qdrant
-vectorstores = get_cloud_qdrant()
+# # Replace local Qdrant with cloud Qdrant
+# vectorstores = get_cloud_qdrant()
 
 #####---------------------CHAT-----------------------------------------------------
 def start_chat(query,history):