Building an app with ChatGPT involves several steps, including training the language model, integrating it into your application, and developing a user interface for the chatbot. Here is a general overview of the process:

1. Choose a programming language and framework: There are many programming languages and frameworks you can use to build an app with ChatGPT, including Python, Flask, Django, Node.js, and React.
2. Train the ChatGPT model: ChatGPT is a pre-trained language model that requires fine-tuning on a specific task or domain. You can use open-source libraries like Hugging Face Transformers to train and fine-tune the ChatGPT model.
3. Set up a server: You need a server to host your app and handle user requests. You can use cloud services like AWS, Google Cloud, or Azure to set up your server.
4. Integrate ChatGPT into your app: You can use an API to integrate the ChatGPT model into your app. You can use the REST API provided by Hugging Face Transformers to make predictions based on user inputs.
5. Develop a user interface: You need to design and develop a user interface that allows users to interact with the chatbot. You can use tools like React or Angular to build a web-based user interface or tools like Tkinter or PyQt to build a desktop-based user interface.
6. Test and deploy your app: Once you have developed your app, you need to test it thoroughly to ensure that it works as intended. You can use tools like Postman or Insomnia to test your API endpoints. You can deploy your app to a cloud-based platform like Heroku, AWS Elastic Beanstalk, or Google App Engine.

It’s important to note that building an app with ChatGPT requires advanced programming skills and knowledge of machine learning concepts. If you’re new to programming or machine learning, it may be helpful to seek guidance from a professional or take an online course.