Update app.py

app.py

@@ -13,6 +13,7 @@ from langchain_core.prompts import ChatPromptTemplate
 
 from langchain_community.embeddings import HuggingFaceEmbeddings
 from langchain import hub
+from sentence_transformers import SentenceTransformer
 
 # Convert string of URLs to list
 def method_get_website_text(urls):
@@ -31,9 +32,12 @@ def method_get_text_chunks(text):
 #convert text chunks into embeddings and store in vector database
 def method_get_vectorstore(document_chunks):
     # create the open-source embedding function
-    embeddings = NomicEmbeddings(model="nomic-embed-text-v1.5")
+    #embeddings = NomicEmbeddings(model="nomic-embed-text-v1.5")
     #embeddings = HuggingFaceEmbeddings()
 
+    model = SentenceTransformer("nomic-ai/nomic-embed-text-v1.5")
+    embeddings = model.encode()
+    
     # create a vectorstore from the chunks
     vector_store = Chroma.from_documents(document_chunks, embeddings)
     return vector_store