Why does the text-davinci-003 model work in the bot, but gpt-3.5-turbo does not work?

API
5

Requirements:
Python 3.7…1 - 3.9.x
OpenAI latest version (pip install --upgrade openai)

Here is a working chatbot demo I wrote as instructional that shows:

  • construction of role messages
  • proper use of chat API
  • chat history with rudimentary management of past turns
  • streaming words and parsing the delta chunks of the stream
  • no error handling of API errors
import openai
openai.api_key = "sk-12341234"
system = [{"role": "system",
           "content": """You are chatbot who enjoys weather talk."""}]
user = [{"role": "user", "content": "brief introduction?"}]
chat = []
while not user[0]['content'] == "exit":
    response = openai.ChatCompletion.create(
        messages = system + chat[-20:] + user,
        model="gpt-3.5-turbo", temperature=0.1, stream=True)
    reply = ""
    for delta in response:
        if not delta['choices'][0]['finish_reason']:
            word = delta['choices'][0]['delta']['content']
            reply += word
            print(word, end ="")
    chat += user + [{"role": "assistant", "content": reply}]
    user = [{"role": "user", "content": input("\nPrompt: ")}]

Hopefully you find what you need and can expand from there.

( I also have print function that will word wrap to a line length and others where the scope of “example” is lost )