A Simple Automatic Content Creator | ChatGPT + DeepAI + Python

ShiriTech
31 Mar 202308:20

TLDRThis video demonstrates how to create content automatically using ChatGPT, DeepAI, and Python. It shows the process of generating facts, obtaining API keys, and combining text and images to produce unique videos each time.

Takeaways

  • ๐Ÿ˜€ The video is created using a Python script that leverages AI to generate content.
  • ๐ŸŽจ The script combines AI-generated text with images from an AI system to produce videos.
  • ๐Ÿ“ The user demonstrates using Chat GPT to write a script and generate facts about history.
  • ๐Ÿ”‘ A guide on obtaining an API key from Open AI is provided for using the GPT API.
  • ๐Ÿ›  The video explains the process of using the Open AI Python module to interact with the GPT model.
  • ๐Ÿ–ผ๏ธ The script suggests using Deep AI for image generation due to the lack of a Mid-Journey AI API.
  • ๐Ÿ” The user faced issues with the Deep AI module and opted for direct API requests instead.
  • ๐Ÿ”‘ Instructions on obtaining and using a Deep AI API key are given.
  • ๐Ÿ“š The quality of open-source image generation alternatives is discussed, with a preference for Deep AI.
  • ๐Ÿ“‘ The video outlines combining text and images using an external service, Template.io, for better results.
  • ๐Ÿ”— The process of using Template.io's API for overlaying text on images is explained.
  • ๐ŸŽž๏ธ The final script from Chat GPT is presented, with modifications for improved functionality.
  • ๐Ÿ†“ Template.io offers a free trial version for creating text-image overlays.
  • ๐ŸŽ‰ The video concludes by encouraging viewers to use these tools to create unique content pipelines.

Q & A

  • What is the purpose of the video?

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

  • How does the video content get generated?

    -The video content is generated by using a Python script that asks ChatGPT to create facts about a random topic, generates images using DeepAI, and then combines these elements into a video.

  • What is needed to use the GPT API from Open AI?

    -To use the GPT API from Open AI, you need to sign up on the platform, navigate to the API keys section, create a new secret key, and use this key in your Python script to send requests to Open AI.

  • Why was DeepAI recommended instead of Mid-Journey AI?

    -DeepAI was recommended because there is no available API for Mid-Journey AI. Although the quality of images generated by DeepAI is not as high as those from Mid-Journey AI, it is sufficient for the purpose of the project.

  • What issues were encountered with the DeepAI module?

    -The DeepAI module did not work as expected, leading to the decision to use direct requests to DeepAI instead. Additionally, obtaining an API key requires a subscription.

  • What is the alternative to using a paid service or API for image generation?

    -The alternative suggested is using open-source projects, but the quality and processing capabilities of these projects are not as good as paid services.

  • How does the script combine text and images?

    -Initially, the script used the pillow module in Python to overlay text on images, but the results were not satisfactory. Instead, an external service like template.io was used to combine text and images more effectively.

  • What is the role of template.io in the script?

    -Template.io is used to create a template for the video, allowing users to select a template, add items, and generate an API call that can be used to replace fields with desired data.

  • How does the final script from ChatGPT help in creating the video?

    -The final script from ChatGPT generates 10 facts about a random topic using the GPT API and then generates a related image for each fact using DeepAI. These elements are combined to create a video.

  • What are the requirements for using the template.io service?

    -To use template.io, you need to sign up on the website, choose a template, add the desired fields, and then obtain an API key from your dashboard to use in your script.

  • What is the significance of the video being different each time it is generated?

    -The significance is that the content is dynamic, with topics and text generated by ChatGPT and images by AI, ensuring that each video is unique and engaging.

Outlines

00:00

๐Ÿค– Automated Video Creation with AI

The speaker describes how they created a short video using a Python script that leverages AI to generate random facts and images. They utilized the GPT API to produce historical facts and Deep AI for image generation, as there was no available API for mid-journey AI. The script combines these elements into a video, demonstrating the use of chat activity to script and existing APIs to generate content. The speaker guides viewers through the process of obtaining API keys, selecting models, and configuring parameters in the GPT playground. They also address challenges with the Deep AI module and the use of an external service, template.io, for combining text with images due to the limitations of local modules.

05:01

๐ŸŽฌ Enhancing Video Production with External Services

The second paragraph delves into the challenges faced with the outdated chat GBD data and the search for doll e API for image generation. The speaker opted for a more visually appealing AI solution and discusses overlaying text on images to create a video. They mention the use of open AI, deep AI, movie pi, and pillow modules, but encountered issues with the AI module, leading to a switch to direct requests to Deep AI. The speaker also explores the use of template.io for a more efficient and visually appealing way to overlay text on images, highlighting the service's free trial version and the process of obtaining an API key and template ID for integration. The video concludes with a demonstration of the final script's ability to generate unique videos each time, powered by AI-generated content, and encourages viewers to subscribe and engage with the content.

Mindmap

Keywords

๐Ÿ’กAutomatic Content Creator

An automatic content creator is a software or system that generates content without human intervention. In the context of the video, it refers to a Python script that uses AI to produce videos with text and images. The script automates the process of content creation by fetching random facts from Chat GPT and images from Deep AI, assembling them into a video format.

๐Ÿ’กChat GPT

Chat GPT is a reference to a conversational AI model that generates human-like text based on prompts. In the video, the creator uses Chat GPT to generate random facts about a topic. The script interacts with the Chat GPT API to retrieve these facts, which are then used as part of the video content.

๐Ÿ’กDeep AI

Deep AI is an AI service that generates images based on textual descriptions. The video script mentions Deep AI as an alternative to another service when creating images for the video content. The images generated by Deep AI are used to visually represent the facts provided by Chat GPT.

๐Ÿ’กPython Script

A Python script is a set of instructions written in the Python programming language to perform a specific task. In this video, the script automates the creation of videos by combining AI-generated text and images. It demonstrates how programming can be used to streamline content creation processes.

๐Ÿ’กAPI Key

An API key is a unique code used to authenticate requests to an API (Application Programming Interface). In the script described in the video, obtaining an API key from Open AI and Deep AI is necessary to access and use their services for generating text and images, respectively.

๐Ÿ’กOpen AI Python Module

The Open AI Python module is a software library that allows Python developers to easily interact with Open AI's services. In the video, the creator uses this module to send requests to the Open AI API and retrieve generated text for the video content.

๐Ÿ’กGPT Playground

GPT Playground is an interface provided by Open AI that allows users to experiment with the GPT model's capabilities. It offers various options and parameters for customizing the output. The video script refers to GPT Playground as a place where one can configure the model settings used in the Python script.

๐Ÿ’กRequest Module

The request module in Python is used to send HTTP requests to servers. In the context of the video, the creator mentions using the request module to send direct API calls to Deep AI instead of using a specific Deep AI Python module, which was not functioning as desired.

๐Ÿ’กTemplate

A template in the video refers to a pre-designed layout or structure for content. The creator uses an external service, template.io, to overlay text on images. The service provides an API that allows customization of the template with specific data, streamlining the process of combining text and images.

๐Ÿ’กPillow Module

The Pillow module, also known as PIL (Python Imaging Library), is an image processing library in Python. The script initially used Pillow to place text on images, but the creator found the results unsatisfactory and opted for an external service for better visual outcomes.

๐Ÿ’กMoviePi

MoviePi is a Python library used for video processing. Although not explicitly mentioned in the script, it is implied that the final script uses MoviePi to compile the images and text into a video format, showcasing the integration of various AI and Python modules for content creation.

Highlights

A Python script generates a video with random facts and AI-generated images.

The video is created using ChatGPT for text and an AI system for images.

The script can produce a completely new video each time it is run.

Sign up to ChatGPT and create a new chat to start the process.

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

Get an API key from OpenAI to use their services.

The OpenAI Python module is used to send requests to the GPT model.

DeepAI is recommended as an alternative to Mid-Journey AI for image generation.

DeepAI's image quality is not as high as Mid-Journey AI but is sufficient for this project.

Use the 'requests' module in Python to interact with DeepAI's API.

A subscription to DeepAI is needed to obtain an API key.

ChatGPT is not up-to-date and its data is from 2021.

The script overlays text on images to create a video.

Issues with the 'AI' module led to using direct requests to DeepAI.

Pillow module was used but resulted in suboptimal text overlay on images.

Template.io is an external service used to combine text and images effectively.

Template.io offers a free trial version for creating content.

The final script generates a unique video each time using ChatGPT and DeepAI.

The video serves as proof that various AI tools can be combined to create content pipelines.

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