Update app.py
Browse files
app.py
CHANGED
|
@@ -6,6 +6,8 @@ from langchain.document_loaders import TextLoader
|
|
| 6 |
from langchain.chains.question_answering import load_qa_chain
|
| 7 |
from langchain.llms import OpenAI
|
| 8 |
import gradio as gr
|
|
|
|
|
|
|
| 9 |
|
| 10 |
#declare constants here
|
| 11 |
OPEN_API_KEY = os.environ["OPENAI_API_KEY"]
|
|
@@ -14,7 +16,11 @@ api_key = os.environ["QDRANT_API_KEY"]
|
|
| 14 |
embeddings = OpenAIEmbeddings()
|
| 15 |
|
| 16 |
#initialize vectorstore
|
| 17 |
-
qdrant = Qdrant.from_documents(host=host, prefer_grpc=True, api_key=api_key)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
|
| 19 |
#query pipeline
|
| 20 |
def question_answering(question):
|
|
|
|
| 6 |
from langchain.chains.question_answering import load_qa_chain
|
| 7 |
from langchain.llms import OpenAI
|
| 8 |
import gradio as gr
|
| 9 |
+
from qdrant_client import QdrantClient
|
| 10 |
+
|
| 11 |
|
| 12 |
#declare constants here
|
| 13 |
OPEN_API_KEY = os.environ["OPENAI_API_KEY"]
|
|
|
|
| 16 |
embeddings = OpenAIEmbeddings()
|
| 17 |
|
| 18 |
#initialize vectorstore
|
| 19 |
+
#qdrant = Qdrant.from_documents(host=host, prefer_grpc=True, api_key=api_key)
|
| 20 |
+
qdrant = QdrantClient(
|
| 21 |
+
host,
|
| 22 |
+
api_key,
|
| 23 |
+
)
|
| 24 |
|
| 25 |
#query pipeline
|
| 26 |
def question_answering(question):
|