Welcome, my friends! In today’s video, I am going to show you how to build chatbot applications with the OpenAI API. We will do it in less than 20 minutes using Python, Streamlit, and GPT models.
If you’re here only to see the code, I’ve got it on GitHub, and you’ll find the link in the description. But if you want to learn much more, just follow along and code with me.
Let’s begin with an empty directory. Install a Python virtual environment and activate it. Then, upgrade your pip and install the required packages: Streamlit, OpenAI, and Python-dotenv.
Next, we need to get an OpenAI API key. Go to the OpenAI platform, create a new secret key, and copy it. Paste the key into your project’s .env file.
Now, let’s start working on our Python file. Import the necessary packages and load the OpenAI API key from the .env file.
Create a basic Streamlit app with a title. Add a user input prompt and store the user’s messages in the session state. Display the user’s messages using the Streamlit chat message attribute.
To generate chatbot responses, use the OpenAI chat completion function. Pass the user’s messages to the model and display the assistant’s responses using the chat message attribute.
To enable streaming behavior, modify the chat completion function by setting the ‘stream’ attribute to ‘True’. Iterate through the response choices and append them to the full response.
That’s it! You’ve now built a functional chatbot using the OpenAI API. Feel free to check out the full code on my GitHub. I hope you learned something today and enjoyed it. Have a great week! Cheers!
