Change AI model settings test

app.py

@@ -43,18 +43,17 @@ def create_full_mask(image):
 
 @spaces.GPU(duration=120)
 def infer(
-    edit_images,
+    image,
     prompt,
     seed=42,
     randomize_seed=False,
     width=1024,
     height=1024,
-    guidance_scale=30,
-    num_inference_steps=50,
+    guidance_scale=50,
+    num_inference_steps=28,
 ):
-    if not edit_images["background"]:
+    if not image:
         raise gr.Error("Please upload an image.")
-    image = edit_images["background"]
     mask = create_full_mask(image)  # Auto-generate full white mask
     width, height = calculate_optimal_dimensions(image)
     if randomize_seed:
@@ -104,13 +103,11 @@ with gr.Blocks(css=css) as demo:
         )
         with gr.Row():
             with gr.Column():
-                edit_image = gr.ImageEditor(
-                    label="Upload image for editing (no mask required)",
+                image_input = gr.Image(
+                    label="Upload image for editing",
                     type="pil",
-                    sources=["upload", "webcam"],
+                    sources=["upload"],  # Only upload button
                     image_mode="RGB",
-                    layers=False,  # No layers needed as mask is auto-generated
-                    brush=gr.Brush(colors=["#FFFFFF"], color_mode="fixed"),
                     height=600,
                 )
                 prompt = gr.Text(
@@ -120,6 +117,11 @@ with gr.Blocks(css=css) as demo:
                     placeholder="Enter your prompt",
                     container=False,
                 )
+                gr.Examples(
+                    examples=examples,
+                    inputs=[prompt],
+                    label="Example Prompts",
+                )
                 run_button = gr.Button("Run")
                 result = gr.Image(label="Result", show_label=False)
         with gr.Accordion("Advanced Settings", open=False):
@@ -152,22 +154,22 @@ with gr.Blocks(css=css) as demo:
                 guidance_scale = gr.Slider(
                     label="Guidance Scale",
                     minimum=1,
-                    maximum=30,
+                    maximum=50,  # Updated max to 50
                     step=0.5,
-                    value=30,  # Updated default to 30
+                    value=50,  # Updated default to 50
                 )
                 num_inference_steps = gr.Slider(
                     label="Number of inference steps",
                     minimum=1,
                     maximum=50,
                     step=1,
-                    value=50,  # Updated default to 50
+                    value=28,  # Updated default to 28
                 )
         gr.on(
             triggers=[run_button.click, prompt.submit],
             fn=infer,
             inputs=[
-                edit_image,
+                image_input,
                 prompt,
                 seed,
                 randomize_seed,