A Simple Automatic Content Creator | ChatGPT + DeepAI + Python

ShiriTech
31 Mar 202308:20

TLDRThis video demonstrates how to create an automatic content creator using ChatGPT, DeepAI, and Python. It shows the process of generating random facts, obtaining images from an AI system, and combining them into a video with text overlays. The script utilizes APIs from OpenAI and DeepAI, and an external service for text-image combination, resulting in unique videos each time.

Takeaways

  • 😀 The video is created by a Python script that generates random facts and images using AI, then compiles them into a video.
  • 🔑 To use GPT API, you need to sign up and obtain an API key from openai.com.
  • 📝 The script requests 10 historical facts from GPT, using the OpenAI Python module for the request.
  • 🖼️ There is no direct API for mid-journey AI, but DeepAI is suggested as a similar alternative for image generation.
  • 💡 DeepAI requires an API key, which can be obtained by subscribing to their service and accessing your profile.
  • 🚫 Open Source projects for image generation based on description are not of high quality and processing is difficult.
  • 🤖 Chat GPT was used to generate a script combining facts and images, but the AI module had issues and was replaced with direct requests to DeepAI.
  • 🎨 The script initially used the pillow module for text overlay on images, but the results were not satisfactory.
  • 🌐 An external service, template.io, was used to overlay text on images due to better results and a free trial version.
  • 📈 The final script can generate a complete video from scratch with different results each time due to the dynamic nature of AI-generated content.
  • 👍 The video demonstrates the potential of combining various AI tools to create content automatically.

Q & A

  • What is the main purpose of the video described in the transcript?

    -The main purpose of the video is to demonstrate how to use AI tools like ChatGPT, DeepAI, and Python to automatically generate content, specifically creating a video with AI-generated images and text.

  • How does the video content creation process start?

    -The process starts by signing up for ChatGPT and creating a new chat where the user inputs prompts for the AI to generate facts or text content.

  • What is the role of the GPT API in this content creation?

    -The GPT API is used to generate a list of facts or text content based on the prompts given by the user. It's part of the process to create the script for the video.

  • How is the DeepAI service used in the video creation?

    -DeepAI is used to generate images that correspond to the facts or text content created by the GPT API. These images are then used in the video alongside the text.

  • What is the issue with using the DeepAI module as mentioned in the transcript?

    -The issue is that the DeepAI module does not work as expected, leading the creator to use a direct request to DeepAI instead.

  • Why was the doll e API not used for image generation?

    -The doll e API was not used because ChatGPT's information was outdated, and the creator decided to go with DeepAI for better visual results.

  • What alternative service was suggested to combine text with images?

    -The service template.io was suggested as an alternative to locally combining text with images. It allows users to select a template and customize it with their content through an API call.

  • How can one obtain an API key for DeepAI?

    -To obtain an API key for DeepAI, one needs to sign up for a subscription on their website, go to their profile, and then grab the API key from there.

  • What is the final script's role in the video creation process?

    -The final script, obtained from ChatGPT, is used to generate a whole video from scratch, ensuring that each run produces a completely different result due to the dynamic nature of AI-generated content.

  • What are the technical requirements for the video creation process described?

    -The technical requirements include having the OpenAI, DeepAI, moviepy, and pillow modules in Python, as well as API keys for both ChatGPT and DeepAI.

  • How does the video ensure that each generated content is unique?

    -The uniqueness is ensured by the AI's ability to generate different topics and text each time, as well as the images being created anew by DeepAI, resulting in a unique video each time the script is run.

Outlines

00:00

📚 Automating Video Creation with AI

This paragraph introduces a method for creating videos using AI technologies. The speaker explains how they used a Python script to generate random facts about a topic with the help of an AI, specifically mentioning the use of GPT for text generation. They also discuss the use of AI-generated images and the process of combining these elements into a video. The speaker guides viewers through the steps of using the GPT API, obtaining an API key from OpenAI, and utilizing the Deep AI service for image generation. The paragraph concludes with a mention of the limitations and challenges faced, such as the outdated data in Chat GPT and the preference for Deep AI over other image generation services.

05:01

🎬 Enhancing Video Production with External Services

In this paragraph, the speaker continues the discussion on video creation, focusing on the challenges of integrating text and images. They mention the use of the Pillow module in Python for overlaying text on images, but highlight its limitations in terms of quality and time consumption. The speaker then explores an alternative approach using an external service, Template.io, which allows for the creation of templates with customizable text and images. The paragraph details the process of using Template.io, including signing up, choosing a template, and making API calls with the necessary API key and template ID. The speaker emphasizes the benefits of this service, such as its free trial version, and concludes by encouraging viewers to experiment with these tools to create unique content, offering a link to the video in the description for further reference.

Mindmap

Keywords

💡Automatic Content Creator

An 'Automatic Content Creator' refers to a system or tool that generates content autonomously, often using AI algorithms. In the context of the video, it is a Python script that leverages AI to produce videos with text and images, showcasing the capability of AI to automate the content creation process. The script is described as being able to generate completely new videos each time it is run, based on AI-generated content.

💡ChatGPT

ChatGPT is a language model developed by OpenAI that can generate human-like text based on given prompts. In the video script, it is mentioned as a source for generating random facts about various topics, which are then used as part of the content creation process for the videos. The script involves using the GPT API to interact with ChatGPT and obtain the desired text content.

💡DeepAI

DeepAI is an AI platform that provides various APIs for tasks such as image generation, text recognition, and more. The script in the video uses DeepAI to generate images that correspond to the facts provided by ChatGPT. Although the quality of images from DeepAI is not as high as that of mid-journey AI, as mentioned in the script, it serves the purpose for the content creation project described.

💡Python Script

A 'Python Script' is a sequence of programming instructions written in the Python language to perform various tasks. In the video, the script is the core component that automates the creation of videos by combining text from ChatGPT and images from DeepAI. It demonstrates how programming can be used to automate and streamline content creation.

💡API Key

An 'API Key' is a unique code used to authenticate requests to an API (Application Programming Interface). In the script, obtaining API keys from both OpenAI and DeepAI is a necessary step to access their services and integrate them into the content creation process. The API key is used to send requests and receive responses that enable the generation of text and images.

💡GPT API

The 'GPT API' is the interface provided by OpenAI that allows developers to access the capabilities of the GPT model for various applications, such as generating text. In the video, the GPT API is used to request ChatGPT to create lists of facts, which are a key element of the video content.

💡Image Generation

Image generation refers to the process of creating images either manually or through automated systems. In the context of the video, image generation is automated using the DeepAI API, which generates images based on descriptions provided by the GPT API's output. These images are then used in the video content alongside the generated text.

💡Template

A 'Template' in this context is a pre-designed layout or structure that can be used to create content with a consistent look and feel. The video script mentions using a template from template.io to overlay text on images, which simplifies the process of combining text and visuals for the video content.

💡MoviePy

MoviePy is a Python module for video editing that can be used to create, edit, and process video files. In the video script, MoviePy is mentioned as one of the modules used to compile the images and text into a final video format, demonstrating its utility in the content creation workflow.

💡Pillow

Pillow, previously known as PIL (Python Imaging Library), is a Python library that provides tools for opening, manipulating, and saving many different image file formats. In the script, Pillow is initially considered for overlaying text on images, but the creator finds that using an external service like template.io provides better results.

💡Content Pipeline

A 'Content Pipeline' is the process or series of steps involved in creating and delivering content. The video script describes creating a pipeline that uses various AI tools and APIs to generate and compile content automatically, resulting in a streamlined and efficient content creation process.

Highlights

A Python script was used to generate a short video with facts and images from AI systems.

The script can create a new video each time it is run, based on AI-generated images and text.

To start, sign up for ChatGPT and create a new chat to generate facts.

Use the GPT API to create a list of 10 facts about history.

Get an API key from OpenAI by signing up and accessing the API keys section.

Use the OpenAI Python module to send requests and generate facts using GPT.

DeepAI is recommended as an alternative to mid-journey AI for generating images.

DeepAI images are not as high quality as mid-journey AI but are sufficient for the project.

Use the request module in Python to send requests to DeepAI directly.

Sign up for DeepAI, buy a subscription, and get an API key to use their services.

There is no available API for mid-journey AI, but DeepAI can be used instead.

ChatGPT can be used to generate 10 facts about a random topic and related images.

ChatGPT's data is not up to date, only covering information up to 2021.

Dollar API can be used to generate images, but it was decided to use DeepAI for better results.

The script uses Pillow to put text on top of images, but the results are not optimal.

Template.io is an external service that can be used to combine text with images.

Template.io offers a free trial version and requires an API key and template ID for use.

The final script can generate a complete video from scratch, with each result being unique.

The video content is generated by AI, combining text from ChatGPT and images from AI systems.

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