Update app.py

app.py

@@ -69,25 +69,6 @@ def set_base_model(base_model_id):
     pipe.to("cuda")
     return pipe
 
-examples = [
-    ['A group of 4 students from University of Wisconsin Stout sitting at a table talking, men and women, detailed faces, focused',
-    'glitch, deformed, cross-eyed'],
-    ['A serious capybara at work, wearing a suit',
-    'low quality'],
-    ['a graffiti of a robot serving meals to people',
-    'low quality'],
-    ['photo of a small cozy modern house in red woods on a mountain, solar panels, garage, driveway, great view, sunshine',
-    'red house'],
-    ['cinematic photo of a woman sitting at a cafe, 35mm photograph, film, bokeh, professional, 4k, detailed face',
-    'drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly'],
-    ['analog film photo of old woman on the streets of london, faded film, desaturated, 35mm photo, grainy, vignette, vintage, Kodachrome, Lomography, stained, highly detailed, found footage',
-    'painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured']#,
-    #['nude photo of a 20 year old model in the back seat of a car, detailed face',
-    #'big boobs'],
-    #['nude photo of a 20 year old man, penis and testicles, dick and balls, erection',
-    #'woman']
-]
-
 with gr.Blocks(css=css) as demo:
     with gr.Column():
         prompt = gr.Textbox(label="Prompt")
@@ -96,9 +77,9 @@ with gr.Blocks(css=css) as demo:
             samp_steps = gr.Slider(1, 30, value=10, step=1, label="Sampling steps")
             batch_size = gr.Slider(1, 6, value=1, step=1, label="Batch size", interactive=True)
             seed = gr.Number(label="Seed", value=-1, minimum=-1, precision=0)
+            lastSeed = gr.Number(label="Last Seed", value=-1, interactive=False)
         gallery = gr.Gallery(show_label=False, preview=True, container=False)
         with gr.Row():
-            lastSeed = gr.Number(label="Last Seed", value=-1, interactive=False)
     submit_btn.click(generate, [prompt, samp_steps, batch_size, seed], [gallery, lastSeed], queue=True)
     
 pipe = set_base_model(model_id)