Update app.py

app.py

@@ -16,7 +16,7 @@ token=""
 repo_id = "mistralai/Mixtral-8x7B-Instruct-v0.1"
 emb = "sentence-transformers/all-mpnet-base-v2"
 hf = HuggingFaceEmbeddings(model_name=emb)
-db = Chroma(persist_directory="./chroma_langchain_db",HuggingFaceEmbeddings(model_name=emb))
+db = Chroma(persist_directory="./chroma_langchain_db",embedding_function=HuggingFaceEmbeddings(model_name=emb))
 #db.persist()
 # Load the document, split it into chunks, embed each chunk and load it into the vector store.
 #raw_documents = TextLoader('state_of_the_union.txt').load()