app.py

import gradio

txt1 = '''

# Welcome Chadi:

---

## Instruction:

- This solution exemplifies my habit of jumping to a solution before talking to you. It is a bad practice that we all must unlearn. :-)

- If you are looking for an LLM model that can convert text to image without genuinely understanding your project's goals and acceptance criteria in detail, I suggest using the OpenAI Stable Diffusion XL model. Many commercial sites rely on this XL model for their operations.

- Type your text and click "Submit." 

## Notes:
---

- Hundreds of fine-tuned Stable Diffusion LLMs specialize in creating specialized images, such as Anime Art, people, fantasy art, and airplanes.

- If you want a specific graph or image, you might have to fine-tune or fancy prompt engineering to attain a similar output image every time. 

- In our later lesson, we will cover how to use HuggingFace, open-source LLM, and Kaggle datasets.

- There is an API interface at the bottom of the page that you can integrate into your web or mobile app. You can test it out today.

- If one of your acceptance criteria or KPIs is pitching your project to an investor, then you need this type of LLM for intellectual property (IPs). In other words, investors are only interested in IPs, not ideas. 

However, jumping into tech solutions is not the right approach for AI Solution Architects. We should unlearn our bad habits and learn to follow the DD process. 

**Last note:** It took twice as long to write the answer as to the code. :-)
'''

intf = gradio.load("models/stabilityai/stable-diffusion-xl-base-1.0", title=txt1)

intf.launch()