Update ingest.py

ingest.py

@@ -1,29 +1,29 @@
-import os
-from langchain.text_splitter import RecursiveCharacterTextSplitter
-from langchain.embeddings import SentenceTransformerEmbeddings
-from langchain.document_loaders import DirectoryLoader
-from langchain.document_loaders import PyPDFLoader
-from langchain.vectorstores import Qdrant
-from qdrant_client import QdrantClient
-
-embeddings = SentenceTransformerEmbeddings(model_name="NeuML/pubmedbert-base-embeddings")
-
-client = QdrantClient(
-    url=os.getenv("QDRANT_URL", "https://868005ec-814c-4a06-b5f5-f4051fdf2a5d.europe-west3-0.gcp.cloud.qdrant.io"),
-    api_key=os.getenv("QDRANT_API_KEY"),
-    prefer_grpc=False
-)
-
-loader = DirectoryLoader('data/', glob="**/*.pdf", show_progress=True, loader_cls=PyPDFLoader)
-documents = loader.load()
-text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=100)
-texts = text_splitter.split_documents(documents)
-
-qdrant = Qdrant.from_documents(
-    texts,
-    embeddings,
-    client=client,
-    collection_name="vector_db"
-)
-
+import os
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain.embeddings import SentenceTransformerEmbeddings
+from langchain.document_loaders import DirectoryLoader
+from langchain.document_loaders import PyPDFLoader
+from langchain.vectorstores import Qdrant
+from qdrant_client import QdrantClient
+
+embeddings = SentenceTransformerEmbeddings(model_name="NeuML/pubmedbert-base-embeddings")
+
+client = QdrantClient(
+    url=os.getenv("QDRANT_URL", "https://QDRANT_URL.europe-west3-0.gcp.cloud.qdrant.io"),
+    api_key=os.getenv("QDRANT_API_KEY"),
+    prefer_grpc=False
+)
+
+loader = DirectoryLoader('data/', glob="**/*.pdf", show_progress=True, loader_cls=PyPDFLoader)
+documents = loader.load()
+text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=100)
+texts = text_splitter.split_documents(documents)
+
+qdrant = Qdrant.from_documents(
+    texts,
+    embeddings,
+    client=client,
+    collection_name="vector_db"
+)
+
 #print("Vector DB Successfully Created!")