Workflows

Automate Slide Creation with AI

Automate slide creation from data to presentation-ready decks using GPT-4 and DALL-E 3, saving significant time and effort.

Without it

Piece it together by hand, every time.

With it

Streamline your presentation workflow by automating the creation of visually appealing slides. This asset leverages AI to generate content, data visualizations, and even title images from your data.

What you get

  • Generate data visualizations from financial reports.
  • Extract key insights and summaries from data.
  • Create compelling title images using DALL-E 3.
  • Automate the assembly of slides using Python.

Use this prompt chain

OpenAI Cookbook Generate codeGenerate imagesSummarizeExtract

Creating slides with the Assistants API (GPT-4), and DALL·E-3

This notebook illustrates the use of the new Assistants API (GPT-4), and DALL·E-3 in crafting informative and visually appealing slides.

Creating slides is a pivotal aspect of many jobs, but can be laborious and time-consuming. Additionally, extracting insights from data and articulating them effectively on slides can be challenging.

This cookbook recipe will demonstrate how you can utilize the new Assistants API to facilitate the end to end slide creation process for you without you having to touch Microsoft PowerPoint or Google Slides, saving you valuable time and effort!

0. Setup

1. Creating the content

In this recipe, we will be creating a brief fictional presentation for the quarterly financial review of our company, NotReal Corporation. We want to highlight some key trends we are seeing that are affecting the profitability of our company.
Let's say we have the some financial data at our disposal. Let's load in the data, and take a look...

As you can see, this data has quarterly revenue, costs and customer data across different distribution channels. Let's create an Assistant
that can act as a personal analyst and make a nice visualization for our PowerPoint!

First, we need to upload our file so our Assistant can access it.

Now, we're ready to create our Assistant. We can instruct our assistant to act as a data scientist, and take any queries we give it and run the necessary code to output the proper data visualization. The instructions parameter here is akin to system instructions in the ChatCompletions endpoint, and can help guide the assistant. We can also turn on the tool of Code Interpreter, so our Assistant will be able to code. Finally, we can specifiy any files we want to use, which in this case is just the financial_data file we created above.

Let's create a thread now, and as our first request ask the Assistant to calculate quarterly profits, and then plot the profits by distribution channel over time. The assistant will automatically calculate the profit for each quarter, and also create a new column combining quarter and year, without us having to ask for that directly. We can also specify the colors of each line.

No we can execute the run of our thread

We can now start a loop that will check if the image has been created. Note: This may take a few minutes

Let's see the messages the Assistant added.

We can see that the last message (latest message is shown first) from the assistant contains the image file we are looking for. An interesting note here is that the Assistant was able to attempt several times to parse the JSON data, as the first parsing was unsuccessful, demonstrating the assistant's adaptability.

Let's load in the plot!

The Image

Nice! So, with just one sentence, we were able to have our assistant use code interpreter to
calculate the profitability, and graph the three lineplots of the various distribution channels.


Now we have a nice visual for our slide, but we want some insights to go along with it.

2. Generating insights

To get insights from our image, we simply need to add a new message to our thread. Our Assistant will know to use the message history to give us some concise takeaways from the visual provided.

Now, once the run has completed, we can see the latest message

Cool! So our assistant was able to identify the noteworthy growth in Online Sales profit, and infer that this shows the importance of a large digital presence. Now let's get a compelling title for the slide.

And the title is:

3. DALL·E-3 title image

Nice, now we have a title, a plot and two bullet points. We're almost ready to put this all on a slide, but as a final step, let's have DALL·E-3 come up with an image to use as the title slide of the presentation.


Note: DALL·E-3 is not yet available within the assistants API but is coming soon!


We'll feed in a brief description of our company (NotRealCorp) and have DALL·E-3 do the rest!

Cool, now we can add this image to our thread. First, we can save the image locally, then upload it to the assistants API using the File upload endpoint. Let's also take a look at our image

Image

4. Creating the slides

We now have all the content we need to create the slides. While we could simply add a message asking for slides, but let's instead give the assistant a slide template, using the python-pptx library, to use. This will ensure we get a deck in the style we want. See the Extensions section at the end of the notebook for notes on creating the template.

Let's set a few quick variables for our slides. We want the company name, NotRealCorp, to be on the title slide, and the title of the presentation should 'Quartlerly financial planning metting, Q3, 2023'.

And for the data slide, we have:

Here we have a template to create a Title Slide. The template below was created by uploading the image of a desirable title slide to GPT-V, and asking for the python-pptx code to create that template. The inputs to the template are the image_path, title_text, and subtitle_text.

Now, we have a PPTX file saved with all of our created content!.

Let's look at the screenshots of the .pptx we just created using JUST the assistants API and DALL·E-3. We don't have a seed parameter yet in the Assistants API, so the DALL·E-3 image and wordings will be slightly different from what you see when you run this notebook, due to the non-determinism of LLMs, but the outputs should be directionally the same.

The title slide:

Title Slide

And the data slide:

Data Slide

5. Conclusion

Woo! While these slides could use some formatting tweaks, we have made some great content using the Assistants API, GPT-4 and DALL·E-3. We were able to take a .csv file with financial data, and use our assisant to calculate profit by quarter across distribution channels, plot the results, identify insights and key takeaways from the visualization, and create a summarative title. And, given just a description of our company, NotRealCorp, we used DALL·E-3 to make an awesome title image.


While we are still a ways away from entirely automating this process without a human in the loop, hopefully this notebook can make the slide creation process a bit easier for you. More importantly, this notebook can ideally give you a glimpse into the potential of the assistants API! We're excited to see what you build.

6. Extensions

  • When DALL·E-3 is incorporated in the Assistants API, we will have the ability to request the generated title image within the thread.
  • GPT-4-Vision is not yet supported in the Assistants API, but could have been used to gather insights from the line plot image.
  • GPT-4-Vision was used to generate the python-pptx template included in this recipe, so a potential extension project could be demonstrating best practices around converting images to slide templates.

Comments (0)

Sign In Sign in to leave a comment.