Update app.py

app.py

@@ -1,8 +1,7 @@
 import os
-import shutil
 import gradio as gr
 from git import Repo
-from llama_index.core import SimpleDirectoryReader, VectorStoreIndex, ServiceContext, StorageContext
+from llama_index.core import SimpleDirectoryReader, VectorStoreIndex, StorageContext, Settings
 from llama_index.embeddings.openai import OpenAIEmbedding
 from llama_index.llms.openai import OpenAI
 
@@ -19,14 +18,16 @@ if not os.path.exists(PROJECT_DIR):
 if not os.path.exists(PROJECT_DIR) or not os.listdir(PROJECT_DIR):
     raise ValueError(f"Erro: O diretório {PROJECT_DIR} está vazio ou não foi clonado corretamente.")
 
+# Configurar LlamaIndex corretamente
+Settings.llm = OpenAI()
+Settings.embed_model = OpenAIEmbedding()
+
 # Lendo os arquivos do projeto
 documents = SimpleDirectoryReader(PROJECT_DIR).load_data()
 
 # Criando um índice vetorial para buscas
-service_context = ServiceContext.from_defaults(llm=OpenAI(), embed_model=OpenAIEmbedding())
 storage_context = StorageContext.from_defaults(persist_dir="storage")
-
-index = VectorStoreIndex.from_documents(documents, storage_context=storage_context, service_context=service_context)
+index = VectorStoreIndex.from_documents(documents, storage_context=storage_context)
 
 # Função para responder perguntas sobre o projeto
 def respond(message, history):