Entwickeln Sie in wenigen Minuten sichere ChatGPT-Apps

Entwickeln Sie in wenigen Minuten sichere ChatGPT-Apps

Table of Contents:

1. Introduction
2. Building an Application for Substack
3. Creating a Landing Page Prototype
4. Inputting the Prompt and Website URL
5. Asking Questions and Summarizing Blog Posts
6. Customizing the Prompt for Different Characters
7. Programmatically Creating Applications
8. Creating Templates and Apps Using the API
9. Converting the Code to a Flask App
10. Testing the Flask App and Making Requests
11. Handling Paywall-Protected Content
12. Conclusion

Introduction

In this article, we will explore how to build an application for Substack using their AI-powered chatbot, ChatGPT. With this application, users can provide a Substack article and receive a chat-like experience with AI-generated responses. We will start by creating a landing page prototype and then proceed to inputting Prompts and website URLs. We'll learn how to ask questions and summarize blog posts, and also customize the prompt to emulate different characters. Additionally, we will explore programmatically creating applications using templates and the API. Finally, we will convert the code to a Flask app and test it using Postman. We will also discuss handling paywall-protected content. So, let's dive in!

Building an Application for Substack

Substack is a popular platform for writers to publish and monetize their newsletters. With the help of Substack's AI model, ChatGPT, we can Create a custom chatbot experience for readers to engage with the content. In this section, we will walk through the process of building an application that leverages the power of Substack and ChatGPT.

Creating a Landing Page Prototype

Before we start building the actual application, it's a good idea to create a landing page prototype to Visualize the end result. This will help us understand the components and features we want to include. We can use the landing page to experiment and play around with the prompt to get a better idea of what We Are trying to build.

Inputting the Prompt and Website URL

Once we have our landing page prototype ready, we can proceed to input the prompt and website URL. The prompt should be a simple description of what the application does, such as being an AI assistant for answering questions from Substack blog posts. We can then use the AI model to summarize the blog post or provide the main points about it. We can also experiment with different prompts and characters, such as asking the AI to answer questions as the iconic character Saul Goodman from Breaking Bad.

Asking Questions and Summarizing Blog Posts

With the prompt and website URL set up, we can now start asking questions and summarizing blog posts. We can Interact with the AI model by asking it to summarize a specific blog post or provide the main points. We can also experiment with different prompts and characters to see how the AI responds. By analyzing the outputs, we can assess the effectiveness of the prompt and make any necessary adjustments.

Customizing the Prompt for Different Characters

To enhance the user experience and make it more engaging, we can customize the prompt to emulate different characters. For example, we can request the AI to answer questions as Yoda from Star Wars. This adds a fun and unique element to the application and allows users to enjoy a different style of interaction with the AI.

Programmatically Creating Applications

Now that we have explored the manual process of creating the application, let's learn how to programmatically create applications using templates and the API. We can create a template that includes the prompt and then use this template to generate applications for different Substack articles. This allows us to streamline the process and create applications for multiple articles efficiently.

Creating Templates and Apps Using the API

To create templates and apps programmatically, we need to utilize the API provided by Substack. We can make API calls to create templates with specified prompts and data sources. Once the template is created, we can then use it as a blueprint for creating applications for different Substack articles. We will learn how to specify the data source and input URL for each application, making the process more dynamic and flexible.

Converting the Code to a Flask App

To make the application accessible through a web interface, we can convert the code to a Flask app. Flask is a popular Python framework for building web applications. By transforming the code into a Flask app, we can easily deploy it and provide users with a convenient way to interact with the Substack chatbot.

Testing the Flask App and Making Requests

Once the Flask app is set up, we can test it by making requests and interacting with the Substack chatbot. We can use Postman, a popular API development tool, to send requests to the app's API endpoints. By testing different prompts and input URLs, we can ensure that the Substack chatbot provides accurate and Relevant responses to users' queries.

Handling Paywall-Protected Content

We also need to consider how to handle paywall-protected content, such as articles from The Wall Street Journal. In such cases, we can implement OAuth and allow users to provide their access tokens. By including the access token in the API requests, the Substack chatbot can Read the paywalled content and generate appropriate responses. This allows users to access and interact with premium content within the chatbot application.

Conclusion

Building an application for Substack using ChatGPT opens up new possibilities for content Creators and readers. By leveraging the power of AI, we can create interactive and personalized chat experiences for Substack articles. We have explored the process of creating a landing page prototype, inputting prompts and website URLs, customizing prompts for different characters, programmatically creating applications, and converting the code to a Flask app. Additionally, we discussed testing the app, handling paywall-protected content, and the potential for further enhancements. With these tools and techniques, we can enrich the Substack experience and provide a seamless integration of AI-generated responses. So, let's get started and build amazing chatbot applications for Substack!