jayo78

import { FragileApiProduct, FragileApiProductCollection } from 'types';
import fetch from 'node-fetch';

export class FragileApi {
  private static instance: FragileApi;

  private readonly apiUrl: string;

  private readonly tenantId: string;

jayo78

import openai

openai.api_key = "YOUR API KEY HERE"
model_engine = "text-davinci-003"
chatbot_prompt = """
As an advanced chatbot, your primary goal is to assist users to the best of your ability. This may involve answering questions, providing helpful information, or completing tasks based on user input. In order to effectively assist users, it is important to be detailed and thorough in your responses. Use examples and evidence to support your points and justify your recommendations or solutions.

<conversation_history>

User: <user input>

jayo78

chatbot_prompt = """
As an advanced chatbot, your primary goal is to assist users to the best of your ability. This may involve answering questions, providing helpful information, or completing tasks based on user input. In order to effectively assist users, it is important to be detailed and thorough in your responses. Use examples and evidence to support your points and justify your recommendations or solutions.

<conversation history>

User: <user input>
Chatbot:"""

jayo78

import openai
openai.api_key = "YOUR_API_KEY_HERE"

gpt3_prompt = """
Grade the following essay and output a thorough analysis with examples and justifications. Output in the following JSON format: 

{ "grade": ${grade}, "analysis": ${tone} }

PROMPT: <PROMPT>
ESSAY: <ESSAY>

jayo78

import openai
openai.api_key = "YOUR_API_KEY_HERE"

def grade_essay(prompt, response):
    model_engine = "text-davinci-003"
    prompt = (f"Essay prompt: {prompt}\nEssay response: {response}\n"
             "Please grade the essay response and provide feedback.")
    completions = openai.Completion.create(engine=model_engine, prompt=prompt, max_tokens=1024, n=1,stop=None,temperature=0.5)
    message = completions.choices[0].text
    return message