Update app.py

app.py

@@ -344,7 +344,6 @@ def check_status(top_description):
             update_top_tag = gr.update(value=f'''
             <div style="text-align: center; max-width: 650px; margin: 0 auto;">
             <div>
-                <img class="logo" src="file/mirage.png" alt="Mirage Logo"
                     style="margin: auto; max-width: 7rem;">
                 <br />
                 <h1 style="font-weight: 900; font-size: 2.5rem;">
@@ -474,16 +473,16 @@ with gr.Blocks(css=css) as demo:
     #Very hacky approach to emulate dynamically created Gradio components
     with gr.Column() as upload_your_concept:
         with gr.Column():
-            thing_description = gr.Markdown("Choose 10 photos of yourself, your partner, or your pet (e.g. a dog or cat) to use as input for the AI avatar generator.The AI will then create personalized avatars that look like you in any style you prefer!")
+            thing_description = gr.Markdown("Choose 10 photos of yourself, your partner, or your pet (e.g. a dog or cat) to use as input for the AI avatar generator. The AI will then create personalized avatars that look like you in any style you prefer!")
             thing_description = gr.Markdown("Steps:")
             thing_description = gr.Markdown("1) Attribute a GPU in the settings tab ⚙️")
             thing_description = gr.Markdown("2) Get 10 photos of yourself with no other people in the background 📷")
             thing_description = gr.Markdown("3) Upload those photos below 🎞️")
-            thing_description = gr.Markdown("4) Run the training 🏃‍♀️")
-            thing_description = gr.Markdown("5) flex on social media 💪")
+            thing_description = gr.Markdown("4) Set your custom prompt as 'name1' and run the training 🏃‍♀️")
+            thing_description = gr.Markdown("5) Test your prompts and flex on social media 💪")
             thing_experimental = gr.Checkbox(label="Improve faces (prior preservation) - can take longer training but can improve faces", visible=False, value=False)
             thing_image_example = gr.HTML('''<div style="display:flex;justify-content:center"><img src="file/cat-toy.png" /></div>''')
-            things_naming = gr.Markdown("You should name your concept with a unique made up word that has low chance of the model already knowing it (e.g.: `name1` here). Images will be automatically cropped to 512x512.")
+            things_naming = gr.Markdown("When naming your custom prompt use a made up word that has low chance of the model already knowing it (e.g.: `name1` here). Images will be automatically cropped to 512x512.")
 
 
         file_collection = []