A Simple Automatic Content Creator | ChatGPT + DeepAI + Python
TLDRThis video showcases an innovative method to create content automatically using a Python script. It leverages ChatGPT for text generation and DeepAI for image creation, combining them into unique videos with each run. The tutorial guides viewers through the process, from obtaining API keys to utilizing external services for text-overlay on images, resulting in diverse content production with minimal effort.
Takeaways
- 😀 The video is created using a Python script that automates the generation of content.
- 🎬 The script utilizes ChatGPT to generate random facts about a topic.
- 🖼️ AI-generated images are sourced from DeepAI, although the quality is not as high as Mid-Journey AI.
- 🔑 Users need to sign up for ChatGPT and obtain an API key from OpenAI's platform.
- 📚 The script uses the GPT API to request facts and configures the model and parameters using the GPT playground.
- 🚫 There is no available API for Mid-Journey AI, so DeepAI is used as an alternative.
- 🔗 The script sends a direct request to DeepAI using the request module in Python, after obtaining an API key.
- 📚 ChatGPT is used to generate 10 facts about a random topic and to request images that fit the facts.
- 🎞️ The final script combines text and images using an overlay, creating a video by attaching these frames.
- 🖌️ Text is placed on images using the Pillow module, but the results are not optimal and require further refinement.
- 🌐 An external service, template.io, is used to combine text and images, offering a free trial version.
Q & A
What is the purpose of the video described in the transcript?
-The purpose of the video is to demonstrate how to create an automatic content creator using a combination of ChatGPT, DeepAI, and Python to generate text and images, and then compile them into a video.
How does the video script use ChatGPT to generate content?
-The script uses ChatGPT to generate a list of 10 facts about a random topic and to assist in combining these facts with images to create a video.
What is the role of DeepAI in the content creation process described in the script?
-DeepAI is used to generate images based on the text facts provided by ChatGPT. It serves as an alternative to the unavailable Mid-Journey AI for image generation.
Why was the DeepAI module not used as initially planned?
-The DeepAI module was not used because it did not work as expected. Instead, the script opted for direct requests to DeepAI using the request module in Python.
How does one obtain an API key for OpenAI?
-To obtain an API key for OpenAI, one needs to sign up on the platform at openai.com, navigate to the API keys section, create a new secret key, and then copy it for use in the script.
What is the alternative to Mid-Journey AI suggested in the script for image generation?
-The alternative suggested for image generation is DeepAI, which, although not as high-quality as Mid-Journey AI, is sufficient for the purposes of the script.
What challenges did the script face with combining text and images?
-The script faced challenges with using the pillow module to overlay text on images, as the results were not satisfactory and required significant time to improve.
How does the script address the issue of combining text and images effectively?
-The script addresses this issue by using an external service, template.io, which allows for the combination of text and images through an API call, simplifying the process.
What is the significance of the API key and template ID in using template.io?
-The API key and template ID are crucial for accessing and customizing templates on template.io. They allow the user to make API calls to generate images with overlaid text according to the chosen template.
How does the final script ensure that each video generated is unique?
-The final script ensures uniqueness by using ChatGPT to generate random topics and text, and by using DeepAI to create AI-generated images, resulting in a completely new video each time it is run.
What advice does the script provide for those interested in creating similar content?
-The script suggests that with more time and effort, better videos can be created by utilizing the available tools and combining them into a pipeline for content creation.
Outlines
🤖 Automating Video Creation with AI
This paragraph describes the process of creating a video using AI-generated content. The video is produced by a Python script that utilizes an AI to generate random facts about a topic and then overlays these facts on images sourced from an AI system. The script is flexible, allowing for the creation of a unique video each time it's run. The speaker guides viewers through the steps of using the GPT API to generate facts and Deep AI for image generation, despite the lack of a direct API for Mid-Journey AI. The process also involves using the Open AI Python module and handling API keys for both services. The speaker also explores the possibility of using open-source projects for image generation but ultimately decides on Deep AI for its quality and ease of use.
🎨 Enhancing Video Production with External Services
The second paragraph delves into the challenges and solutions encountered during the video creation process. The speaker initially faces issues with the AI module for image generation, opting instead for direct requests to Deep AI after obtaining an API key. Another challenge arises with overlaying text on images using the pillow module, which does not yield satisfactory results. To address this, the speaker turns to an external service, template.io, which offers a user-friendly API for combining text and images. The service requires an API key and a template ID, both of which can be obtained after signing up and selecting a template. The paragraph concludes with the speaker's enthusiasm for the potential of these tools to create content efficiently, inviting viewers to subscribe and engage with the content.
Mindmap
Keywords
💡Automatic Content Creator
💡Python Script
💡Chat GPT
💡API Key
💡Deep AI
💡Image Overlay
💡Template.io
💡Open AI Python Module
💡Movie Pi
💡Pillow Module
💡AI Generated Images
Highlights
A Python script is used to create a video with AI-generated content.
The video features random facts about a random topic generated by ChatGPT.
Images for the video are sourced from an AI system.
The script can be run to produce a completely new video each time.
The video creation process is explained step by step.
ChatGPT is used to generate a list of 10 facts about history.
An API key from Open AI is required to use the GPT API.
The Open AI Python module is used to send requests to the GPT API.
Deep AI is recommended as an alternative to mid-journey AI for image generation.
Deep AI images are not as high quality as mid-journey AI but are sufficient for the project.
A direct request to Deep AI is used instead of a Python module.
An API key from Deep AI is needed, which requires a subscription.
Open Source projects for image generation are not as effective as paid services.
ChatGPT is used to generate facts and related images for the video.
The script uses the Open AI, Deep AI, and Pillow modules.
The AI module does not work well, leading to a switch to direct requests to Deep AI.
Pillow is used to overlay text on images, but the results are not satisfactory.
Template.io is suggested as a service to combine text and images effectively.
Template.io offers a free trial version for creating content.
The final script from ChatGPT generates a video from scratch with each run producing different content.
The video content is unique each time due to the use of ChatGPT for topics and text, and AI for image generation.