Create a Python GPT Chatbot - In Under 4 Minutes

Summary

Learn to create a Python Chatbot using OpenAI's GPT in under 5 minutes with Tech with Tim. The guide helps you to install the OpenAI package, set your API key, and create a function to interact with the ChatGPT model. It then showcases how to handle user input in a loop until the user decides to exit and demonstrates running the chatbot via a terminal. The tutorial emphasizes the simplicity and power of this solution, encouraging viewers to experiment and expand on the code shared.

Highlights

• Install the OpenAI package using pip to kickstart the chatbot creation process 📦.
• Generate an OpenAI API key to enable access to GPT models 🔑.
• Create a simple Python function to handle user prompts and generate AI responses 🤖.
• Implement a while-loop for ongoing user interaction, making chatbots feel conversational 🔄.
• Run your Python file via the terminal to test and enjoy your new chatbot 🖥️.

Key Takeaways

• Setting up an OpenAI API key is essential for accessing GPT models 🔐.
• Generating a response with OpenAI's GPT requires setting the model and passing user messages 🔄.
• A simple while-loop allows for continuous interaction with the chatbot until the user exits 🔁.
• Python provides powerful tools to create interactive and responsive applications in minutes ⏱️.
• Experimenting and expanding the chatbot's functionality is encouraged 🚀.

Overview

In just five minutes, Tech with Tim shows how easy it is to build a Python chatbot leveraging OpenAI's ChatGPT. The video starts by guiding you through the process of installing the OpenAI package, a prerequisite for the journey ahead. By setting up the API key, you're well on your way to personalize AI conversations.

Tim develops a concise yet robust function to handle user prompts and calls the GPT model to generate thoughtful responses. This ingenious use of OpenAI's tools demonstrates how accessible advanced technology can be, even for beginners. The video makes it clear that once you've got your API key, the sky's the limit!

The tutorial concludes by showing how to create a seamless user interaction with a simple while-loop. This continuous cycle allows for an ongoing chat until the user decides to quit, presenting the chatbot as a practical application in real-world scenarios. It's a call to action for viewers to take this foundational code and run wild with endless possibilities!

Create a Python GPT Chatbot - In Under 4 Minutes Transcription

• 00:00 - 00:30 let's make a python chatbot using open aai and chat GPT in just 5 minutes step one install the open AI package so we're going to go to a terminal and type pip install open aai if you're on Mac or Linux you can try pip 3 install open a I already have that installed once it's installed we'll import open aai and we will set the open AI API key so we'll say open a. aior key is equal to a string and is that ever a mouthful now we need to get our API key to do that we need to go to the openai website so this
• 00:30 - 01:00 will be linked in the description platform. open.com account AI keys if you don't already have an account you will need to make one if you do you should be able to make a new API key here by clicking on create new secret giving it a name and then pressing on create secret key once the key is generated copy that key paste that into Python and will move on to the next step so I have my API key here I will delete this after the video and what we'll do now is create a function that we will call every time we want a new completion so we'll say chat with
• 01:00 - 01:30 GPT we will take in some kind of prompt which will be the message from our user and we will generate a response using a GPT model so we'll say open AI do chat completion like so dot create inside of here we're going to specify our model the model that's available today as of filming this video is GPT 3.5 dturbo this will be the best one to use if you spell it correctly next we need to pass messages is equal to an
• 01:30 - 02:00 array inside of the array we'll pass an object we'll say the role is a user and we will say that the content is the prompt all you need to do is have this and now this will generate a completion for you now that we have the completion we need to return that to the user so we'll say return response. choices at index0 message. content. strip this will just remove any leading or trailing Whit
• 02:00 - 02:30 space from the message now we'll say if uncore name is equal toore main this means that we're running this python file directly we'll write a simple while loop that will prompt the user to keep asking the chatbot questions so we'll say while true inside of here we'll say the user input is equal to input and then we can do something like U colon we'll say if the user input. lower is in
• 02:30 - 03:00 the following so quit exit or buy then what we'll do is simply break out of the wall Loop otherwise we'll generate a response so we say response is equal to chat with GPT we'll pass that user input and then we will print chatbot colon comma and then the response like that okay let's go ahead and test this out that's actually our completed chat bot to run
• 03:00 - 03:30 the chat bot we'll go to our terminal here and we'll run the name of our python file in this case it's python main.py I'm going to type in hello how are you and we will see here that we'll get a response hello I'm an AI so I don't have feelings but I'm here to assist you well can you lie to me at least let's see as an AI language model I'm programmed to provide accurate information okay byy and then we can leave by typing by
• 03:30 - 04:00 so there you go that was a python chatbot in under 5 minutes very simple to interact with open Ai and this is obviously quite powerful you can do a lot more than what I did here I'd love to hear what you do with this code in the comments down below let me know and I look forward to seeing you in another video [Music]