refactoring code

app.py

@@ -16,12 +16,9 @@ from langchain.chains import RetrievalQA
 from langchain.prompts import ChatPromptTemplate
 from langchain.document_loaders import WebBaseLoader
 
-text_splitter = RecursiveCharacterTextSplitter(chunk_size=350, chunk_overlap=10)
-
 
+text_splitter = RecursiveCharacterTextSplitter(chunk_size=350, chunk_overlap=10)
 model_id = HuggingFaceHub(repo_id="HuggingFaceH4/zephyr-7b-beta", model_kwargs={"temperature":0.1, "max_new_tokens":300})
-
-
 embeddings = HuggingFaceHubEmbeddings()
 
 
@@ -30,8 +27,8 @@ s3.download_file('rad-rag-demos', 'vectorstores/chroma.sqlite3', './chroma_db/ch
      
 db = Chroma(persist_directory="./chroma_db", embedding_function=embeddings)
 db.get()
-#texts = text_splitter.split_documents(documents)
-#db = Chroma.from_documents(texts, embedding_function=embeddings)
+
+
 retriever = db.as_retriever()
 
 global qa