Update app.py

app.py

@@ -94,7 +94,8 @@ css = """
 }
 """
 
-with gr.Blocks(css=css) as demo:
+# Define the Gradio interface
+with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column():
             gr.Markdown("# Disney Pixar AI Poster Generator")
@@ -104,15 +105,15 @@ with gr.Blocks(css=css) as demo:
         with gr.Column(scale=2):
             prompt = gr.Textbox("space warrior, beautiful, female, ultrarealistic, soft lighting, 8k", placeholder="Prompt", show_label=False, lines=3)
             negative_prompt = gr.Textbox(placeholder="Negative Prompt", show_label=False, lines=3, value="3d, cartoon, anime, (deformed eyes, nose, ears, nose), bad anatomy, ugly")
-            text_button = gr.Button("Generate", variant='primary', elem_id="generate")
+            text_button = gr.Button("Generate", variant='primary', style={"min-width": "100%"})
 
         with gr.Column(scale=4):
-            image_output = gr.Image(value="https://cdn-uploads.huggingface.co/production/uploads/noauth/XWJyh9DhMGXrzyRJk7SfP.png", label="Generated Image")
+            image_output = gr.Image(value="https://cdn-uploads.huggingface.co/production/uploads/noauth/XWJyh9DhMGXrzyRJk7SfP.png", label="Generated Image", style={"width": "100%", "height": "auto"})
 
     with gr.Row():
         with gr.Column(scale=2):
-            model = gr.Dropdown(interactive=True, value="sd_xl_base_1.0.safetensors [be9edd61]", show_label=True, label="Stable Diffusion Checkpoint", choices=prodia_client.list_models())
-            sampler = gr.Dropdown(value="DPM++ 2M Karras", show_label=True, label="Sampling Method", choices=prodia_client.list_samplers())
+            model = gr.Dropdown(interactive=True, value="sd_xl_base_1.0.safetensors [be9edd61]", show_label=True, label="Stable Diffusion Checkpoint", style={"min-width": "100%"})
+            sampler = gr.Dropdown(value="DPM++ 2M Karras", show_label=True, label="Sampling Method", style={"min-width": "100%"})
             steps = gr.Slider(label="Sampling Steps", minimum=1, maximum=25, value=20, step=1)
             cfg_scale = gr.Slider(label="CFG Scale", minimum=1, maximum=20, value=7, step=1)
             seed = gr.Number(label="Seed", value=-1)
@@ -124,6 +125,5 @@ with gr.Blocks(css=css) as demo:
             batch_count = gr.Slider(label="Batch Count", maximum=1, value=1)
             gr.Markdown("*Resolution Maximum: 1MP (1048576 px)*")
 
-    text_button.click(flip_text, inputs=[prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height, seed], outputs=image_output)
-
-demo.queue(concurrency_count=24, max_size=32, api_open=False).launch(max_threads=128)
+# Launch the Gradio interface
+demo.launch()