Update app.py

app.py

@@ -43,113 +43,53 @@ def infer(prompt,
     ).images[0]
         
     return image, seed
-
-examples = [
-    "A photo of a lavender cat",
-    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
-    "An astronaut riding a green horse",
-    "A delicious ceviche cheesecake slice",
-]
-
-css="""
-#col-container {
-    margin: 0 auto;
-    max-width: 520px;
-}
-"""
-
-with gr.Blocks(css=css) as demo:
-    with gr.Column(elem_id="col-container"):
-        gr.HTML(
-            """
-            <h1 style='text-align: center'>
-            AuraFlow v0.3
-            </h1>
-            """
-        )
-        gr.HTML(
-            """
-            <h3 style='text-align: center'>
-            Follow me for more!
-            <a href='https://twitter.com/kadirnar_ai' target='_blank'>Twitter</a> | <a href='https://github.com/kadirnar' target='_blank'>Github</a> | <a href='https://www.linkedin.com/in/kadir-nar/' target='_blank'>Linkedin</a>  | <a href='https://www.huggingface.co/kadirnar/' target='_blank'>HuggingFace</a>
-            </h3>
-            """
-        )
-        
-        with gr.Row():
-            prompt = gr.Text(
-                label="Prompt",
-                show_label=False,
-                max_lines=1,
-                placeholder="Enter your prompt",
-                container=False,
-            )
-            run_button = gr.Button("Run", scale=0)
-        
-        result = gr.Image(label="Result", show_label=False)
-        
-        with gr.Accordion("Advanced Settings", open=False):
-            negative_prompt = gr.Text(
-                label="Negative prompt",
-                max_lines=1,
-                placeholder="Enter a negative prompt",
-            )
-            
-            seed = gr.Slider(
-                label="Seed",
-                minimum=0,
-                maximum=MAX_SEED,
-                step=1,
-                value=0,
-            )
-            
+with gr.Blocks(theme=gr.themes.Default()) as demo:
+    gr.HTML(
+        """
+        <h1 style='text-align: center'>
+        AuraFlow v0.3
+        </h1>
+        """
+    )
+    gr.HTML(
+        """
+        <h3 style='text-align: center'>
+        Follow me for more!
+        <a href='https://twitter.com/kadirnar_ai' target='_blank'>Twitter</a> | <a href='https://github.com/kadirnar' target='_blank'>Github</a> | <a href='https://www.linkedin.com/in/kadir-nar/' target='_blank'>Linkedin</a>  | <a href='https://www.huggingface.co/kadirnar/' target='_blank'>HuggingFace</a>
+        </h3>
+        """
+    )
+    
+    with gr.Row():
+        with gr.Column(scale=1):
+            prompt = gr.Text(label="Prompt", placeholder="Enter your prompt")
+            negative_prompt = gr.Text(label="Negative prompt", placeholder="Enter a negative prompt")
+            seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
             randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-            
-            with gr.Row():
-                width = gr.Slider(
-                    label="Width",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=1024,
-                )
-                height = gr.Slider(
-                    label="Height",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=1024,
-                )
-            
-            with gr.Row():
-                guidance_scale = gr.Slider(
-                    label="Guidance scale",
-                    minimum=0.0,
-                    maximum=10.0,
-                    step=0.1,
-                    value=5.0,
-                )
-                num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
-                    minimum=1,
-                    maximum=50,
-                    step=1,
-                    value=28,
-                )
-        
-        gr.Examples(
-            examples=examples,
-            fn=infer,
-            inputs=[prompt],
-            outputs=[result, seed],
-            cache_examples="lazy"
-        )
+            width = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024)
+            height = gr.Slider(label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024)
+            guidance_scale = gr.Slider(label="Guidance scale", minimum=0.0, maximum=10.0, step=0.1, value=5.0)
+            num_inference_steps = gr.Slider(label="Number of inference steps", minimum=1, maximum=50, step=1, value=28)
+            run_button = gr.Button("Generate")
 
-    gr.on(
-        triggers=[run_button.click, prompt.submit, negative_prompt.submit],
+        with gr.Column(scale=1):
+            result = gr.Image(label="Generated Image")
+            seed_output = gr.Number(label="Seed used")
+
+    run_button.click(
         fn=infer,
         inputs=[prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
-        outputs=[result, seed]
+        outputs=[result, seed_output]
+    )
+
+    gr.Examples(
+        examples=[
+            "A photo of a lavender cat",
+            "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
+            "An astronaut riding a green horse",
+            "A delicious ceviche cheesecake slice",
+        ],
+        inputs=prompt,
     )
 
-demo.queue().launch()
+demo.queue().launch(server_name="0.0.0.0", share=False)