Update app.py

app.py

@@ -29,7 +29,7 @@ docs = PyMuPDFLoader(direct_url).load()
 
 import tiktoken
 def tiktoken_len(text):
-    tokens = tiktoken.encoding_for_model("gpt-3.5-turbo").encode(
+    tokens = tiktoken.encoding_for_model("gpt-4").encode(
         text,
     )
     return len(tokens)
@@ -48,7 +48,7 @@ split_chunks = text_splitter.split_documents(docs)
 # Load the embeddings model
 from langchain_openai.embeddings import OpenAIEmbeddings
 
-embedding_model = OpenAIEmbeddings(model="text-embedding-3-small")
+embedding_model = OpenAIEmbeddings(model="text-embedding-3-large")
 
 # Load the vector store and retriever from Qdrant
 from langchain_community.vectorstores import Qdrant
@@ -124,7 +124,7 @@ retrieval_augmented_qa_chain = (
 @cl.on_chat_start
 async def start_chat():
     settings = {
-        "model": "gpt-3.5-turbo",
+        "model": "gpt-4",
         "temperature": 0,
         "max_tokens": 500,
         "top_p": 1,