How to make a chatbot in python ? ChatGPT chatbot using Python and Flask смотреть онлайн

Learn how to make a chatbot in Python with the OpenAI (ChatGPT) API! Everything you need to know to get started building chatbots with Python, including using Flask to create a backend that communicates with third-party APIs, rendering responses in dynamic HTML using Jinja2, requests with POST, and more.

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┉┉┉ Chapters in this video ?

00:00 Introduction
01:01 PyCharm
01:13 Pip install flask openai python-dotenv
01:34 Create app.py
01:48 Import flask, openai, python-dotenv, os
03:04 Get OpenAI API credentials
03:55 Create .env file
04:35 Load the API credentials
06:04 Set up Flask app
06:42 Define the home page route
07:59 Define the chatbot route
08:59 Create index.html
09:36 Create a form to call API with Jinja
10:14 API route to call third-party API
15:16 Create chatbot.html
16:05 Add dynamic HTML rendering with Jinja
17:24 Set up runtime code
18:09 .gitignore Python .env
18:23 ? #runthat
18:44 Test the API
18:55 Ask OpenAI API out for a burrito

┉┉┉ Summary of this video ?

In this video, we'll learn how to make a chatbot in Python with the OpenAI (ChatGPT) API. We'll make it into a full-stack Python web app using Flask. This is a beginner-friendly chatbot tutorial. We'll cover everything you need to know to get started building chatbots with Python, including using Flask to create a backend that communicates with third-party APIs, rendering responses in dynamic HTML using Jinja, and more.

I'll walk you through the entire process, from creating a Flask form to call the API route, to using the OpenAI API to generate responses to user input. You'll also learn how to deploy your chatbot using Python and Flask, and we'll provide you with plenty of examples of creating chatbots using Python.

Whether you're a beginner or an experienced developer, this video is perfect for anyone who wants to learn how to build web APIs with Python and Flask, and create a chatbot using Python. We'll cover everything from Python requests, to Flask HTML templates and Jinja2, so you can start building your own chatbots and web apps with Python today. So join us for this exciting Flask tutorial and take your Python skills to the next level!

The purpose of this video is to teach you how to use Flask to create a flexible API. We will be using the OpenAI API as an example, but the principles we cover can be applied to any API.

The first step in creating our chatbot is to create a user interface that will allow users to input text that will be sent to the Flask API route. We will accomplish this using Flask forms. Flask forms are a simple way to create forms in Flask that can be used to gather data from users.

Once we have our user interface set up, we will explore how to use the OpenAI API to generate responses to user input. The OpenAI API is a powerful tool that can be used to generate natural language responses to user input. We will cover how to use the OpenAI API to generate responses and how to format those responses in a way that is easy for users to understand.

Finally, we will use Jinja to dynamically render the responses generated by the OpenAI API in HTML. Jinja is a powerful templating language that is used in Flask to generate dynamic HTML pages. We will cover how to use Jinja to generate HTML pages that display the responses generated by the OpenAI API.

By the end of this tutorial, you will have a functional chatbot that can engage in simple conversations with users. Whether you are a beginner or an experienced developer, this tutorial will provide you with a step-by-step guide to using Flask to create a chatbot. You will learn how to create a user interface, how to use the OpenAI API to generate responses, and how to use Jinja to render those responses in HTML.

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