Update app.py

app.py

@@ -27,7 +27,7 @@ from llama_index.llms.langchain import LangChainLLM
 from langchain_g4f import G4FLLM
 
 nest_asyncio.apply()
-
+"""
 documents = SimpleDirectoryReader('data').load_data()
 model_kwargs = {'device': 'cpu'}
 encode_kwargs = {'normalize_embeddings': True}
@@ -35,6 +35,19 @@ embed_model = HuggingFaceInstructEmbeddings(
     model_name="hkunlp/instructor-xl", model_kwargs=model_kwargs,
     encode_kwargs=encode_kwargs 
 ) 
+
+"""
+
+from langchain.embeddings import HuggingFaceInstructEmbeddings
+
+model_name = "hkunlp/instructor-large"
+model_kwargs = {'device': 'cpu'}
+encode_kwargs = {'normalize_embeddings': True}
+embed_model = HuggingFaceInstructEmbeddings(
+    model_name=model_name,
+    model_kwargs=model_kwargs,
+    encode_kwargs=encode_kwargs
+)
 llm= LLM = G4FLLM(
         model=models.gpt_35_turbo,
         provider=Provider.ChatgptAi,