OpenAI Project Light Node

# Note: you need to be using OpenAI Python v0.27.0 for the code below to work
import openai
import os
import requests
import base64
from pprint import pprint
import json

# Load your API key from an environment variable or secret management service
openai.api_key = '' 

response = openai.ChatCompletion.create(
    model="gpt-3.5-turbo", 
    messages=[
        {"role":"system", "content":"Explain Devrel to me"}
    ]
)
#gpt_output = response["choices"][0]["message"]["content"]
gpt_output = json.dumps(response)

def get_data(namespace_id:str, height:int):
    r = requests.get(f'http://localhost:26659/namespaced_data/{namespace_id}/height/{height}')
    pprint(r)
    pprint(dict(r.json()))
    data = r.json()['data'][0]
    print(base64.b64decode(data).decode('utf-8'))
    return data

#n_id = '756f60cbe7bf5401'
n_id = '0000000cOfeebabe'

def post_data(namespace_id, data, gas_limit=6000):
    data = data.encode('utf-8')
    d = data.hex()
    r = requests.post(f'http://localhost:26659/submit_pfb', json={"namespace_id":namespace_id,"data":d,"gas_limit":gas_limit, "fee":2000})
    pprint(r)
    pprint(r.json()) 
    print(get_data(n_id,r.json()['height']))

pprint(gpt_output)
post_data(n_id, gpt_output)