Update app.py

app.py

@@ -12,7 +12,7 @@ from llama_index.query_engine import SubQuestionQueryEngine
 
 from llama_index import VectorStoreIndex, SimpleDirectoryReader, ServiceContext
 from llama_index.llms import HuggingFaceLLM
-from langchain.embeddings import HuggingFaceEmbeddings, HuggingFaceInstructEmbeddings 
+#from langchain.embeddings import HuggingFaceEmbeddings, HuggingFaceInstructEmbeddings 
 #from langchain_community.embeddings import HuggingFaceInstructEmbeddings 
 from g4f import Provider, models
 
@@ -26,7 +26,7 @@ g4f.debug.logging = True  # Enable logging
 #print(g4f.version)  # Check version
 #print(g4f.Provider.Ails.params)  
 
-
+"""
 #documents = SimpleDirectoryReader('data').load_data()
 model_kwargs = {'device': 'cpu'}
 encode_kwargs = {'normalize_embeddings': True}
@@ -34,6 +34,17 @@ embed_model = HuggingFaceInstructEmbeddings(
     model_name="hkunlp/instructor-xl", model_kwargs=model_kwargs,
     encode_kwargs=encode_kwargs 
 ) 
+"""
+from langchain_community.embeddings import HuggingFaceInstructEmbeddings
+
+model_name = "hkunlp/instructor-xl"
+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_16k,