How to get the items inside of an OpenAIobject in Python?

Question

I would like to get the text inside this data structure that is outputted via GPT3 OpenAI. I'm using Python. When I print the object I get:

<OpenAIObject text_completion id=cmpl-6F7ScZDu2UKKJGPXTiTPNKgfrikZ at 0x7f7648cacef0> JSON: {
  "choices": [
    {
      "finish_reason": "stop",
      "index": 0,
      "logprobs": null,
      "text": "\nWhat was Malcolm X's original name?\nMalcolm X's original name was Malcolm Little.\n\nWhere was Malcolm X born?\nMalcolm X was born in Omaha, Nebraska.\n\nWhat was the profession of Malcolm X's father?\nMalcolm X's father was a Baptist minister.\n\nWhat did Malcolm X do after he stopped attending school?\nMalcolm X became involved in petty criminal activities."
    }
  ],
  "created": 1669061618,
  "id": "cmpl-6F7ScZDu2gJJHKZSPXTiTPNKgfrikZ",
  "model": "text-davinci-002",
  "object": "text_completion",
  "usage": {
    "completion_tokens": 86,
    "prompt_tokens": 1200,
    "total_tokens": 1286
  }
}

How do I get the 'text' component of this? For example, if this object is called: qa ... I can output

qa['choices']

And I get the same items as above... but adding a .text or ['text'] to this does not do it, and gets an error.

But not sure how to isolate the 'text' I've read the docs, but cannot find this... https://beta.openai.com/docs/api-reference/files/delete?lang=python

Answer 1

x = {"choices": [{"finish_reason": "length",
                  "text": ", everyone, and welcome to the first installment of the new opening"}], }

text = x['choices'][0]['text']
print(text)  # , everyone, and welcome to the first installment of the new opening

Answer 2

None of the previous answers helped me, here is my solution

I am using openai==0.27.4

here is the call

import openai

response = openai.ChatCompletion.create(
  model="gpt-3.5-turbo",
  messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Who won the world series in 2020?"},
        {"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
        {"role": "user", "content": "Where was it played?"}
    ]
)

your response will look something like

the response.choices is a list; and you can access the content using

my_openai_obj = list(response.choices)[0]
my_openai_obj.to_dict()['message']['content']

Answer 3

You should try:

desired_text = qa.choices[0].text

Answer 4

This worked for me:

response.choices[0].message.content

Where response is the return value of:

messages = [
     {
         "role": "system",
         "content": "You are an expert at blah blah"),
     },
]
response = openai.ChatCompletion.create(
      messages=messages + [{"role": "user", "content": prompt}],
      model="gpt-4",
      temperature=0.7,
)

Answer 5

I am using openai==0.27.4:

> chat_response.choices[0]["message"].to_dict()

{'role': 'assistant', 'content': None, 'function_call': <OpenAIObject at 0x7...docs\"}"
}}

> chat_response.choices[0]["message"].to_dict_recursive()

{'role': 'assistant', 'content': None, 'function_call': {'name': 'ls', 'arguments': '{"path": "/docs"}'}}