Update app.py

app.py

@@ -16,34 +16,40 @@ else:
     pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
+DEFAULT_IMAGE_SIZE = 512
 MAX_IMAGE_SIZE = 1024
 
-def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
+# Define the default parts of the prompt
+DEFAULT_PREFIX = "a single"
+DEFAULT_SUFFIX = "hanging on the grey wall"
+CATEGORIES = ["T-shirt", "Sweatshirt", "Shirt", "Hoodie"]
+EXAMPLES = [
+    ("T-shirt", "floral pattern"),
+    ("Sweatshirt", "abstract design"),
+    ("Shirt", "geometric shapes"),
+    ("Hoodie", "urban graffiti"),
+]
 
+def infer(category, design, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
+    prompt = f"{DEFAULT_PREFIX} {category} with {design} {DEFAULT_SUFFIX}"
+    
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
-        
     generator = torch.Generator().manual_seed(seed)
     
     image = pipe(
-        prompt = prompt, 
-        negative_prompt = negative_prompt,
-        guidance_scale = guidance_scale, 
-        num_inference_steps = num_inference_steps, 
-        width = width, 
-        height = height,
-        generator = generator
+        prompt=prompt, 
+        negative_prompt=negative_prompt,
+        guidance_scale=guidance_scale, 
+        num_inference_steps=num_inference_steps, 
+        width=width, 
+        height=height,
+        generator=generator
     ).images[0] 
     
     return image
 
-examples = [
-    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
-    "An astronaut riding a green horse",
-    "A delicious ceviche cheesecake slice",
-]
-
-css="""
+css = """
 #col-container {
     margin: 0 auto;
     max-width: 520px;
@@ -56,7 +62,6 @@ else:
     power_device = "CPU"
 
 with gr.Blocks(css=css) as demo:
-    
     with gr.Column(elem_id="col-container"):
         gr.Markdown(f"""
         # Text-to-Image Gradio Template
@@ -64,12 +69,12 @@ with gr.Blocks(css=css) as demo:
         """)
         
         with gr.Row():
-            
-            prompt = gr.Text(
-                label="Prompt",
-                show_label=False,
+            category = gr.Dropdown(label="Category", choices=CATEGORIES, value=CATEGORIES[0])
+            design = gr.Text(
+                label="Design/Graphic",
+                show_label=True,
                 max_lines=1,
-                placeholder="Enter your prompt",
+                placeholder="Enter design or graphic",
                 container=False,
             )
             
@@ -78,7 +83,6 @@ with gr.Blocks(css=css) as demo:
         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,
@@ -97,13 +101,12 @@ with gr.Blocks(css=css) as demo:
             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=512,
+                    value=DEFAULT_IMAGE_SIZE,
                 )
                 
                 height = gr.Slider(
@@ -111,17 +114,16 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=512,
+                    value=DEFAULT_IMAGE_SIZE,
                 )
             
             with gr.Row():
-                
                 guidance_scale = gr.Slider(
                     label="Guidance scale",
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
-                    value=0.0,
+                    value=7.5,
                 )
                 
                 num_inference_steps = gr.Slider(
@@ -129,18 +131,18 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=12,
                     step=1,
-                    value=2,
+                    value=50,
                 )
         
         gr.Examples(
-            examples = examples,
-            inputs = [prompt]
+            examples=[(category, design) for category, design in EXAMPLES],
+            inputs=[category, design]
         )
 
     run_button.click(
-        fn = infer,
-        inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
-        outputs = [result]
+        fn=infer,
+        inputs=[category, design, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
+        outputs=[result]
     )
 
-demo.queue().launch()
+demo.queue().launch()