Update app.py

app.py

@@ -17,7 +17,7 @@ load_index_from_storage,
     set_global_service_context,
 )
 #from langchain.embeddings import HuggingFaceEmbeddings, HuggingFaceInstructEmbeddings 
-#from langchain_community.embeddings import HuggingFaceInstructEmbeddings 
+from langchain_community.embeddings import HuggingFaceInstructEmbeddings 
 #from llama_index.embeddings.huggingface import  HuggingFaceInstructEmbeddings
 from g4f import Provider, models
 
@@ -25,7 +25,9 @@ from langchain.llms.base import LLM
 from llama_index.llms.langchain import LangChainLLM
 from langchain_g4f import G4FLLM
 #from llama_index.embeddings.huggingface import HuggingFaceEmbedding
-from llama_index.embeddings.huggingface import HuggingFaceInstructEmbeddings
+#from llama_index.embeddings.huggingface import HuggingFaceInstructEmbeddings
+from llama_index.embeddings.instructor import InstructorEmbedding
+
 from llama_index.core import Settings
 nest_asyncio.apply()
 g4f.debug.logging = True  # Enable logging
@@ -47,7 +49,7 @@ embed_model = HuggingFaceInstructEmbeddings(
 model_name = "hkunlp/instructor-xl"
 model_kwargs = {'device': 'cpu'}
 encode_kwargs = {'normalize_embeddings': True}
-Settings.embed_model = HuggingFaceInstructEmbeddings(
+embed_model = HuggingFaceInstructEmbeddings(
     model_name=model_name,
     model_kwargs=model_kwargs,
     encode_kwargs=encode_kwargs