Update app.py

app.py

@@ -110,91 +110,93 @@ col-container {
 """
 
 with gr.Blocks(css=css) as demo:
-
-with gr.Column(elem_id="col-container"):
-gr.Markdown(f"""Generate an image with Flux. Try it out and let me know what you think! Expect roughly 45-60 seconds per generation with it's current backend. This can be scaled up over time as needed. Thanks!
-Not for Commercial Use - Apache 2.0 License
-""")
-
-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):
-
-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=1,
-maximum=15,
-step=0.1,
-value=3.5,
-)
-
-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"
-)
-
-
-gr.on(
-triggers=[run_button.click, prompt.submit],
-fn = infer,
-inputs = [prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
-outputs = [result, seed]
-)
-
-demo.launch()
-
-
-
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown(f"""
+            Generate an image with Flux. Try it out and let me know what you think!
+            Expect roughly 45-60 seconds per generation with it's current backend.
+            This can be scaled up over time as needed. Thanks!
+            Not for Commercial Use - Apache 2.0 License
+        """)
+
+    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):
+        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=1,
+                maximum=15,
+                step=0.1,
+                value=3.5,
+            )
+
+            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",
+    )
+
+    gr.on(
+        triggers=[run_button.click, prompt.submit],
+        fn=infer,
+        inputs=[
+            prompt,
+            seed,
+            randomize_seed,
+            width,
+            height,
+            guidance_scale,
+            num_inference_steps,
+        ],
+        outputs=[result, seed],
+    )
+
+demo.launch()