![]() In App.py Add the libraries we need and our keys: from flask import Flask, render_template, request from datetime import date import os import openai import json import requests key1 = 'sk-YQtgOUqZXkJ8oFLzORo2T3' key2 = 'BlbkFJ7RbBtMo9KMz6RKXt2VbA' openai. The company created a chatbot to keep bored teenagers glued to their screens, touted as the best artificial best friends forever (BFF).That’s something that teenagers need more now than ever since The Rona shut down schools. I really encourage looking into these models to better understand their behaviour. Some good companies to be in the company of for NLP. In our example, I’m using Davinci as I’m not worried about billing, but it’s important to consider the best model for your application. On the other hand, Ada is a slightly less powerful model but is very fast and could be used to parse text, address correction of simpler types of classification. Davinci is the most capable and can execute all tasks other models can, often with better performance. These are Davinci, Curie, Babbage and Ada. GPT-3 has different models, for different purposes and with varied “intelligence” levels. Each time you call the API you will be deducted some credit out of these $18. With these keys, you have access to $18 worth of credit. You need these keys to call the API fetching the responses from GPT-3. I’m personally more used to Powershell but you can use Git Bash too! Open Visual studio and hit Ctrl + ‘ - this will open the command line.Powershell or GitBash commands vary across the platforms, so if you’re on a Mac machine some things likely will change. Getting started with Herokuįirst and foremost, the commands I will be using in the following tutorial are for Windows. You will need to pay if your website has a higher load, but, in my case, thankfully/sadly I don’t have that many people visiting the website in this tutorial so I don’t need to pay. Why Heroku? Heroku is free to host and relatively simple too. There are other frameworks like Django, however, for our application, we don’t need the extra level of complexity. Why Python? Python is overall a great language for working with AI and machine learning models, there are tons of documentation around and we can get something simple up and running fast. We will be using Flask, a microframework for web development in Python. This means we are not deploying just static HTML, but we rather can use a framework to pass variables into our Markup and dynamically generate responses and HTML code. However, the difference in this example is that our web App is dynamic. Similar to my previous post about uploading an App to the web with Netlify, we can do the same with Heroku.
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