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Update app.py

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  1. app.py +6 -5
app.py CHANGED
@@ -1,18 +1,19 @@
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  import gradio
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  txt1 = '''
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- # πŸ˜ƒ Welcome Chadi:
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  ---
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- 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.
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- Type in your text and click "Submit."
 
 
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  ## Notes:
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  ---
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- - There are hundreds of fine-tuned Stable Diffusion LLMs that specialize in creating specialized images, such as Anime Art, people, fantasy art, and airplanes.
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  - 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.
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@@ -24,7 +25,7 @@ Type in your text and click "Submit."
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  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.
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- **Here is an interesting last note:** It took twice as long to write this explanation as the code. :-)
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  '''
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  intf = gradio.load("models/stabilityai/stable-diffusion-xl-base-1.0", title=txt1)
 
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  import gradio
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  txt1 = '''
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+ # πŸ˜ƒ Welcome Chadi
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  ---
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+ - 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.
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+
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+ - Type in your text for the graph image and click "Submit."
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  ## Notes:
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  ---
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+ - Hundreds of fine-tuned Stable Diffusion LLMs specialize in creating specialized images, such as Anime Art, people, fantasy art, and airplanes.
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  - 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.
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  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.
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+ **Last note:** It took twice as long to write the answer as to the code. :-)
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  '''
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  intf = gradio.load("models/stabilityai/stable-diffusion-xl-base-1.0", title=txt1)