Accessing OpenAI GPT-4o in Azure OpenAI to create a functional ChatBot

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OpenAI GPT-4o in Microsoft Azure OpenAI

Creating a Custom Chatbot for Norges Oil Fund Using GPT-4o

In this blog post, I’ll walk you through my process of using the early access Playground Preview and GPT-4o Preview to create a custom chatbot for Norges Oil Fund. This involves generating HTML, CSS, and JavaScript code, and refining the design to achieve a polished final product. Let’s dive in!

Step 1: Generating the Initial Code

To start, I used the GPT-4o Playground Preview to generate the basic code for our chatbot. Here’s the prompt I used:

Generate HTML, CSS, and JavaScript code for a chatbot for Norges Oil Fund.

I then took the generated code and pasted it into CodePen, a popular online code editor, to see it in action. I also tested it by asking a simple question: “What is Norges Oil Fund?” While the chatbot functioned correctly, I wasn’t entirely satisfied with its styling.

Prompt 1 output web layout

Step 2: Enhancing the Design

To improve the chatbot’s appearance, I searched for the best chatbot design and found an image that matched my vision. One of the great features of GPT-4o is its ability to handle both images and text, which allowed me to incorporate the new design directly into my prompt.

I wrote a new prompt:

Generate HTML, CSS, and JavaScript code for a chatbot for Norges Oil Fund with this design: [insert image URL].
A sample chatbot from web: https://www.tidio.com/wp-content/uploads/img-arrows-700x460.png

GPT-4o returned the updated code, which I again pasted into CodePen. The new design looked much better, aligning with modern UI standards and providing a more user-friendly experience.

Step 3: Refining and Customizing

Satisfied with the new look, I decided to further customize the chatbot to better match Norges Oil Fund’s branding. This involved tweaking colors, fonts, and other stylistic elements.

Prompt 2 output web layout

Final Result

After these modifications, the chatbot not only functioned well but also looked professional and visually appealing. Here are some of the additional designs I experimented with to ensure versatility and adaptability for different needs.

Conclusion

Creating a chatbot using GPT-4o is straightforward and flexible. By leveraging its ability to generate and refine code based on both textual and visual inputs, we can create customized solutions that meet specific requirements.

For more tutorials and insights into using cutting-edge AI tools, stay tuned to Sai Prudhvi Neelakantam | GeekInData or GeekInData.com :)

Thank you for following along!

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Sai Prudhvi Neelakantam | GeekInData
Sai Prudhvi Neelakantam | GeekInData

Written by Sai Prudhvi Neelakantam | GeekInData

📊🚀Data Engineer | 🛠️ Building Scalable AI & Data Solutions | ☁️ Azure, Databricks, ETL, Data Lakehousing, AzureAI, PowerBI | https://www.geekindata.com/

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