In this article, we will learn how to build a Twitter application using Python. We will cover both the backend and frontend parts of the application.
Introduction:
Today, we will be building our first Twitter application. This application allows users to enter a topic and the number of tweets they want to retrieve. The application will then display the requested tweets.
Backend Development:
To create the backend of the application, we will be using Python and a library called NineChain. This library allows us to interact with the GPT-3.5 language model provided by OpenAI.
First, we need to install the required libraries. We can do this by importing the OpenAI library and creating a GPT model. The GPT model will be used to generate responses based on user prompts.
Next, we will create a prompt template. This template will combine the user inputs (topic and number of tweets) to create a prompt for the GPT model. The prompt template will be used to generate tweets based on the user’s request.
Finally, we will create an API key to access the GPT model. This key is specific to each user and should not be shared.
Frontend Development:
In the frontend part of the application, we will create a user interface where users can enter the topic and number of tweets they want to retrieve. This part will be covered in the next video.
Conclusion:
In this article, we learned how to build a Twitter application using Python. We covered the backend development process, including installing the required libraries, creating a prompt template, and accessing the GPT model. In the next video, we will cover the frontend development part of the application.
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