Upload folder using huggingface_hub

app.py

@@ -35,7 +35,11 @@ openai.api_key = os.getenv("OPENAI_API_KEY")
 # query into a vector
 embeddings = OpenAIEmbeddings(model="text-embedding-ada-002") #, chunk_size=1)
 
-dbclient = QdrantClient("localhost", port=6333, grpc_port=6334, prefer_grpc=True)
+# dbclient = QdrantClient("localhost", port=6333, grpc_port=6334, prefer_grpc=True)
+qdrant_client = QdrantClient(
+    url="https://926bd417-9b52-4f28-9671-2e2232726856.us-east-1-0.aws.cloud.qdrant.io:6333", 
+    api_key="RBXhkIN_NzvAb4z3sjOktZeIPSFylMgCdendwrqCLllyEQlV-aTlUg",
+)
 
 index=Qdrant(client=dbclient, collection_name=collection_name, embeddings=embeddings, vector_name="fragmentvector")
 
@@ -95,4 +99,4 @@ with gr.Blocks(title="Collective Agreement Search") as blocks:
         question.submit(docquery, question, outputs=[answer, references])
 
 
-blocks.launch(share=True, server_name="0.0.0.0", server_port=8080)
+blocks.launch(share=False, server_name="0.0.0.0", server_port=8080)