remove unused functions

app.py

@@ -35,27 +35,6 @@ def encode_image(image_path):
     return base64.b64encode(image_file.read()).decode('utf-8')
 
 
-@spaces.GPU #[uncomment to use ZeroGPU]
-def infer(
-    prompt,
-    progress=gr.Progress(track_tqdm=True),
-):
-    # seed = random.randint(0, MAX_SEED)
-
-    # generator = torch.Generator().manual_seed(seed)
-
-    image = pipe(
-        prompt=prompt,
-        guidance_scale=0.,
-        num_inference_steps=4,
-        width=1420,
-        height=1080,
-        max_sequence_length=256,
-        
-    ).images[0]
-
-    return image
-
 @spaces.GPU #[uncomment to use ZeroGPU]
 def generate_description_fn(
     image,
@@ -128,8 +107,59 @@ with gr.Blocks(css=css) as demo:
 
             result = gr.Image(label="Result", show_label=False)
 
-            gr.Markdown("## Description of the garment:")
-            generated_prompt = gr.Markdown("")
+            with gr.Accordion("Advanced Settings", open=False):
+                negative_prompt = gr.Text(
+                    label="Negative prompt",
+                    max_lines=1,
+                    placeholder="Enter a negative prompt",
+                    visible=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,  # Replace with defaults that work for your model
+                    )
+
+                    height = gr.Slider(
+                        label="Height",
+                        minimum=256,
+                        maximum=MAX_IMAGE_SIZE,
+                        step=32,
+                        value=1024,  # Replace with defaults that work for your model
+                    )
+
+                with gr.Row():
+                    guidance_scale = gr.Slider(
+                        label="Guidance scale",
+                        minimum=0.0,
+                        maximum=10.0,
+                        step=0.1,
+                        value=0.0,  # Replace with defaults that work for your model
+                    )
+
+                    num_inference_steps = gr.Slider(
+                        label="Number of inference steps",
+                        minimum=1,
+                        maximum=50,
+                        step=1,
+                        value=2,  # Replace with defaults that work for your model
+                    )
+
+            gr.Examples(examples=examples, inputs=[prompt])
 
         gr.on(
             triggers=[generate_button.click],