Update app.py

app.py

@@ -7,7 +7,6 @@ import openai
 import langchain
 import tiktoken
 from sentence_transformers import SentenceTransformer, util
-from langchain.embeddings import HuggingFaceBgeEmbeddings
 import gradio as gr
 
 openai.api_key ="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"
@@ -15,14 +14,7 @@ openai.api_key ="sk-proj-UPLtaXRZOgpqXhQC7aGBfQdah-xj4Wz0kmSpQ6r0r6CfdiTsL5FDiJU
 #documents=loader.load()
 #text_splitter = RecursiveCharacterTextSplitter(chunk_size = 400, chunk_overlap = 100)
 #docs = text_splitter.split_documents(documents=documents)
-model_name = "BAAI/bge-large-en-v1.5"
-model_kwargs = {'device':'cuda'}
-encode_kwargs = {'normalize_embeddings':True}
-
-embedding_function = HuggingFaceBgeEmbeddings(
-    model_name = model_name,
-    model_kwargs = model_kwargs,
-    encode_kwargs = encode_kwargs)
+embedding_function = SentenceTransformer("BAAI/bge-large-en-v1.5")
 
 db = FAISS.load_local("Faiss",embedding_function, allow_dangerous_deserialization=True)
 parser = StrOutputParser()