Update app.py

app.py

@@ -9,7 +9,8 @@ logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
 
 from llama_index import VectorStoreIndex, SimpleDirectoryReader, ServiceContext
 from llama_index.llms import HuggingFaceLLM
-from langchain.embeddings import HuggingFaceEmbeddings
+from langchain.embeddings import HuggingFaceEmbeddings, HuggingFaceInstructEmbeddings 
+ 
 from g4f import Provider, models
 from langchain.llms.base import LLM
 from llama_index.llms import LangChainLLM
@@ -18,9 +19,11 @@ from langchain_g4f import G4FLLM
 nest_asyncio.apply()
 
 documents = SimpleDirectoryReader('data').load_data()
-
-embed_model = HuggingFaceEmbeddings(
-    model_name="hkunlp/instructor-large" 
+model_kwargs = {'device': 'cpu'}
+encode_kwargs = {'normalize_embeddings': True}
+embed_model = HuggingFaceInstructEmbeddings(
+    model_name="hkunlp/instructor-large", model_kwargs=model_kwargs,
+    encode_kwargs=encode_kwargs 
 ) 
 llm= LLM = G4FLLM(
         model=models.gpt_35_turbo,