Update app.py

app.py

@@ -40,59 +40,16 @@ examples = [
 ]
 
 css = """
-#col-container {
-    margin: 0 auto;
-    max-width: 800px;
-    padding: 20px;
-    border-radius: 10px;
-    box-shadow: 0px 0px 10px rgba(0, 0, 0, 0.1);
+footer {
+    visibility: hidden;
 }
-
-#title {
-    text-align: center;
-    font-size: 32px;
-    font-weight: bold;
-    margin-bottom: 20px;
-}
-
-#prompt {
-    margin-bottom: 20px;
-}
-
-#result {
-    margin-bottom: 20px;
-}
-
-#advanced-settings {
-    margin-bottom: 20px;
-}
-
-#footer {
-    text-align: center;
-    font-size: 14px;
-    color: #888;
-}
-"""
-
-footer = """
-<div id="footer">
-    <a href="https://www.linkedin.com/in/pejman-ebrahimi-4a60151a7/" target="_blank">LinkedIn</a> |
-    <a href="https://github.com/arad1367" target="_blank">GitHub</a> |
-    <a href="https://arad1367.pythonanywhere.com/" target="_blank">Live demo of my PhD defense</a> |
-    <a href="https://huggingface.co/black-forest-labs/FLUX.1-schnell" target="_blank">black-forest-labs/FLUX.1-schnell</a>
-    <br>
-    Made with 💖 by Pejman Ebrahimi
-</div>
 """
 
-with gr.Blocks(css=css, theme='gradio/soft') as demo:
+with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css
+) as demo:
 
     with gr.Column(elem_id="col-container"):
-        gr.Markdown("""
-        # FLUX.1 Schnell Marketing Assistant
 
-        This app uses the FLUX.1 Schnell model to generate high-quality images based on your prompt. Use it to create new logos, social media content, marketing advertisements, and more.
-        """, elem_id="title")
 
         with gr.Row():
             prompt = gr.Text(
@@ -125,7 +82,7 @@ with gr.Blocks(css=css, theme='gradio/soft') as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,
+                    value=512,
                 )
 
                 height = gr.Slider(
@@ -133,7 +90,7 @@ with gr.Blocks(css=css, theme='gradio/soft') as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,
+                    value=512,
                 )
 
             with gr.Row():