[BUG] update openai api in example (#1641)

## Description of changes
- Update openai call to use the new api (#1640 )

examples/chat_with_your_documents/main.py

@@ -1,12 +1,12 @@
 import argparse
 import os
 from typing import List, Dict
-
+from openai.types.chat import ChatCompletionMessageParam
 import openai
 import chromadb
 
 
-def build_prompt(query: str, context: List[str]) -> List[Dict[str, str]]:
+def build_prompt(query: str, context: List[str]) -> List[ChatCompletionMessageParam]:
     """
     Builds a prompt for the LLM. #
 
@@ -21,22 +21,22 @@ def build_prompt(query: str, context: List[str]) -> List[Dict[str, str]]:
     context (List[str]): The context of the query, returned by embedding search.
 
     Returns:
-    A prompt for the LLM (List[Dict[str, str]]).
+    A prompt for the LLM (List[ChatCompletionMessageParam]).
     """
 
-    system = {
+    system: ChatCompletionMessageParam = {
         "role": "system",
         "content": "I am going to ask you a question, which I would like you to answer"
         "based only on the provided context, and not any other information."
         "If there is not enough information in the context to answer the question,"
         'say "I am not sure", then try to make a guess.'
         "Break your answer up into nicely readable paragraphs.",
     }
-    user = {
+    user: ChatCompletionMessageParam = {
         "role": "user",
         "content": f"The question is {query}. Here is all the context you have:"
         f'{(" ").join(context)}',
-    }
+    } 
 
     return [system, user]
 
@@ -52,7 +52,7 @@ def get_chatGPT_response(query: str, context: List[str], model_name: str) -> str
     Returns:
     A response to the question.
     """
-    response = openai.ChatCompletion.create(
+    response = openai.chat.completions.create(
         model=model_name,
         messages=build_prompt(query, context),
     )

examples/chat_with_your_documents/requirements.txt

@@ -1,3 +1,3 @@
 chromadb>=0.4.4
-openai
+openai>=1.7.2
 tqdm