How To Make an App With ChatGPT (Without Knowing Code)

AI Andy
2 Nov 202311:11

TLDRThe video script outlines a step-by-step guide on how to create a simple application without prior coding knowledge using ChatGPT. The creator shares their journey of developing a Python script that captures screenshots upon mouse clicks, refining the script to include features like cursor visibility, sequential naming of screenshots, and a stop mechanism. The process involves using Visual Studio Code, Python extensions, and iterative refinement through error handling and user prompts. The final product is a user-friendly application that can be converted into an executable file or a Chrome extension. The video encourages viewers to try their hand at coding, emphasizing the accessibility and potential of AI-assisted development.

Takeaways

  • 🚀 **Starting with an Idea**: You can begin creating an app with just an idea and no coding knowledge.
  • 💡 **Utilizing ChatGPT**: ChatGPT can guide you through the process of coding and app development.
  • 🔍 **Capturing Screenshots**: The video demonstrates how to create a Python script that captures a screenshot with each mouse click.
  • 📂 **File Organization**: Organizing screenshots in folders and naming them sequentially improves the user experience.
  • ✅ **Refining the Script**: Refining the initial script is crucial for fixing issues and adding features like cursor visibility.
  • 🔄 **Iterative Development**: The process involves an iterative loop of coding, testing, and refining based on errors and feedback.
  • 🛠️ **Customizing the Application**: Adding features like a stop button and a user interface for better control over the app.
  • 📁 **Folder Structure**: Each run of the app creates a new folder with organized screenshots, including those with the cursor visible.
  • 🔗 **Leveraging Gradient AI**: Gradient AI is mentioned as a tool that can help in building AI applications using private data for better performance.
  • 📚 **Learning Through Doing**: The process of creating an app from scratch teaches new skills and empowers individuals to tackle complex projects.
  • 📦 **Distributing the App**: Once the app is developed, it can be turned into an executable file for easy distribution.

Q & A

  • What was the initial motivation behind creating an app without knowing how to code?

    -The initial motivation was the desire to create small software applications that could perform custom tasks for the user, such as compiling information from TikTok accounts or taking screenshots of websites.

  • What is the first step in creating an app using Python without prior coding experience?

    -The first step is to write a simple Python script that captures a screenshot every time the mouse is clicked. This involves setting up Visual Studio Code, installing the Python extension, and creating a new Python file to write the script.

  • What is the role of Gradient in the process of creating a custom AI application?

    -Gradient provides the infrastructure for building AI applications. It allows users to utilize state-of-the-art open-sourced LLMs (Large Language Models) or industry-specific LLMs, and also enables the use of private data to create a higher performing, custom AI model.

  • How does the process of refining the initial script work?

    -Refining involves making improvements to the script based on the user's requirements and feedback. This includes asking for specific features, such as showing the cursor in screenshots, numbering the screenshots, and adding a stop function. The process involves a back-and-forth interaction with the AI, where errors are copied and pasted back into the AI for resolution.

  • What is the final step in turning the Python script into a usable application?

    -The final step is to convert the Python script into an executable file (.exe) or a Chrome extension. This makes the application user-friendly and accessible without the need for the user to interact with Python or the terminal.

  • How does the process of creating an app with ChatGPT help in learning new skills?

    -The process involves iterative learning and problem-solving. By engaging with the AI, users are guided through the steps of coding, debugging, and refining their application. This hands-on experience helps users learn new skills in software development and problem-solving.

  • What is the benefit of using private data on top of LLMs in creating a custom AI?

    -Using private data on top of LLMs allows for the creation of a more personalized and higher performing AI model. This is particularly beneficial for businesses as it allows them to control the data and the model, ensuring privacy and relevance to their specific needs.

  • What is the significance of the pay-as-you-use model offered by Gradient?

    -The pay-as-you-use model is beneficial for businesses as it allows them to pay only for the resources they use. This can be more cost-effective than investing in infrastructure, especially for small to medium-sized businesses or individual developers.

  • How does the process described in the script help in overcoming the barrier of not knowing how to code?

    -The process involves using an AI to guide users through coding, allowing them to create applications without prior coding knowledge. The AI provides code snippets, helps in debugging, and assists in refining the application based on user feedback, making the process accessible to beginners.

  • What is the importance of organizing the screenshots taken by the Python script?

    -Organizing the screenshots into separate folders with incremental naming helps in managing and accessing the screenshots more efficiently. It prevents overwriting of files and allows users to keep track of the screenshots taken during different sessions.

  • How does the creation of a UI for the Python script enhance the user experience?

    -Adding a user interface (UI) with start and stop buttons makes the application more user-friendly. It allows users to control the screenshot capturing process without having to interact with the terminal or write code, making the application accessible to non-technical users as well.

Outlines

00:00

🚀 Coding Journey with Chat GPT

The speaker shares their experience of starting to code and create apps after the release of Chat GPT. They were inspired to make custom software for personal use, such as aggregating TikTok videos into a spreadsheet or taking screenshots of websites. They discovered a workflow that allows them to turn any idea into a finished product, which they demonstrate by creating an app similar to scribe.how.com. The app captures a screenshot with each mouse click, which is a simple yet powerful concept. The speaker guides viewers through setting up Python and Visual Studio Code, and emphasizes the importance of learning from errors and refining the code iteratively.

05:02

🔍 Refining the Screenshot App

The speaker discusses the process of refining the initial screenshot app to improve its functionality. They wanted to add features such as cursor visibility in screenshots, sequentially numbered filenames, and a control to stop the screenshot process. They also mention the importance of crafting a good refinement prompt to guide the AI in generating a better script. The speaker demonstrates how to troubleshoot and iterate on the code, using the terminal and Python to test and fix errors. The final version of the app includes a user interface with start and stop buttons, and automatically organizes screenshots into folders.

10:04

🛠️ Converting the App to an Executable

The speaker concludes by explaining how to convert the Python script into a standalone executable file, which can be easily shared and used without the need for Python or other dependencies. They mention that creating a Chrome extension was considered but found the executable route to be simpler. The process of creating the executable is straightforward, taking only a few minutes and resulting in a folder containing the necessary files. The speaker reflects on the成就感 (sense of achievement) from learning to code and encourages others to pursue their own projects, offering support through Patreon if needed.

Mindmap

Keywords

💡Chat GPT

Chat GPT refers to a type of AI language model that can generate human-like text based on given prompts. In the context of the video, it's used to help the user write code and create apps without prior knowledge of programming. It's instrumental in the process of developing software that can perform custom tasks for the user, such as capturing screenshots or aggregating data from social media platforms.

💡Python Script

A Python script is a sequence of instructions written in the Python programming language to perform a specific task. In the video, the user creates a Python script to capture a screenshot every time a mouse click is made. This script is a fundamental part of the app development process shown in the video, demonstrating how to automate tasks through programming.

💡Visual Studio Code

Visual Studio Code, often abbreviated as VS Code, is a popular source code editor developed by Microsoft. It includes support for debugging, Git control, syntax highlighting, intelligent code completion, snippets, and code refactoring. In the video, VS Code is used as the environment to write, edit, and run the Python script that captures screenshots.

💡Screenshot

A screenshot is a digital image taken by a screen capture device of what is currently visible on a computer display. In the video, the user's goal is to create an app that takes screenshots of web pages, which can then be organized and saved for later use. This is a core functionality of the app being developed.

💡Refinement Prompt

A refinement prompt is a request for improvements or modifications to an initial output or script. In the context of the video, the user uses refinement prompts to enhance the functionality of their Python script, such as adding a feature to stop the screenshot capture process or to include the mouse cursor in the screenshots.

💡Error Handling

Error handling is the process of responding to the many types of events that cause a program to fail. In the video, the user encounters errors when running their Python script and uses these errors to iteratively improve the script by copying and pasting the error messages back into Chat GPT to receive solutions or further instructions.

💡Executable File (EXE)

An executable file, often with the .exe extension on Windows, is a file that contains a sequence of instructions that a computer's processor can execute. In the video, the user converts their Python script into an executable file to make it easier to run the program without needing to use a command line or write Python code.

💡Chrome Extension

A Chrome extension is a software component that adds functionality to the Google Chrome web browser. In the video, the user considers turning their screenshot app into a Chrome extension but ultimately decides to create an executable file instead. Extensions are mentioned as an alternative way to distribute and use the app.

💡Gradient AI

Gradient AI is a platform that allows users to build AI applications using state-of-the-art, open-sourced language models or industry-specific models. In the video, it is mentioned as a tool that can be used to fine-tune language models based on private data, which is particularly useful for businesses looking to maintain control over their data and enhance their AI applications.

💡User Interface (UI)

A user interface (UI) is the space where interactions between humans and computers occur, and the part of a computer system aimed at interacting with the user. In the video, the user requests a simple UI with start and stop buttons for their screenshot app, which is a crucial part of making the app user-friendly and accessible.

💡App Development

App development is the process of creating a computer program or a set of programs to perform the different functions of an application. In the video, the user goes through the process of app development, from writing the initial code to refining the app's features and finally creating an executable file that can be shared with others.

Highlights

The author started coding and creating apps with ChatGPT despite having no prior coding experience.

The author's motivation was to create custom software for personal use, such as tracking TikTok videos and taking screenshots of websites.

A process and workflow are presented that allow users to go from an idea to a finished app product.

The app created by the author resembles scribe.how.com, a platform for creating how-to instructions.

The author demonstrates how to capture browser actions and create instructional screenshots for replicating tasks.

A Python script is introduced that captures a screenshot every time the mouse is clicked.

Visual Studio Code and Python extension are recommended for beginners to set up the coding environment.

The importance of saving the code and running it from the correct directory is emphasized.

Gradient AI is mentioned as a tool for building AI applications using state-of-the-art open-sourced LLMs or industry expert LLMs.

The author shares their journey of refining the script through iterative prompts and error corrections with ChatGPT.

The final script includes features like cursor visibility in screenshots, incremental screenshot naming, and a stop mechanism.

The process of converting the script into an executable (.exe) file or a Chrome extension is discussed.

The author suggests installing additional tools to create an .exe file from the script.

The final product is a standalone software that can run without needing to enter the Python environment.

The software can be easily shared by compressing it into a zip file.

The author encourages viewers to take on their own projects and learn new skills through coding.

The author offers support and further guidance through Patreon for those undertaking similar projects.

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