Update app.py

app.py

@@ -16,25 +16,39 @@ pipe = DiffusionPipeline.from_pretrained(
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048
 
-def enhance_prompt_for_pattern(prompt):
-    """Add specific terms to ensure seamless, tileable patterns."""
-    pattern_terms = [
-        "seamless pattern",
-        "tileable textile design",
-        "repeating pattern",
-        "high-quality fabric design",
-        "continuous pattern",
+def enhance_prompt_for_tshirt(prompt, style=None):
+    """Add specific terms to ensure good t-shirt designs."""
+    style_terms = {
+        "minimal": ["simple geometric shapes", "clean lines", "minimalist illustration"],
+        "vintage": ["distressed effect", "retro typography", "vintage illustration"],
+        "artistic": ["hand-drawn style", "watercolor effect", "artistic illustration"],
+        "geometric": ["abstract shapes", "geometric patterns", "modern design"],
+        "typography": ["bold typography", "creative lettering", "text-based design"]
+    }
+    
+    base_terms = [
+        "t-shirt design",
+        "centered composition",
+        "high quality",
+        "professional design",
+        "clear background"
     ]
-    enhanced_prompt = f"{prompt}, {random.choice(pattern_terms)}, suitable for textile printing, high-quality fabric design, seamless edges"
+    
+    enhanced_prompt = f"{prompt}, {', '.join(base_terms)}"
+    
+    if style and style in style_terms:
+        style_specific_terms = style_terms[style]
+        enhanced_prompt = f"{enhanced_prompt}, {', '.join(style_specific_terms)}"
+    
     return enhanced_prompt
 
 @spaces.GPU()
-def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, 
+def infer(prompt, style=None, seed=42, randomize_seed=False, width=1024, height=1024, 
           num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
     
-    enhanced_prompt = enhance_prompt_for_pattern(prompt)
+    enhanced_prompt = enhance_prompt_for_tshirt(prompt, style)
     generator = torch.Generator().manual_seed(seed)
     image = pipe(
         prompt=enhanced_prompt,
@@ -48,28 +62,33 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024,
     return image, seed
 
 examples = [
-    "geometric Art Deco shapes in gold and navy",
-    "delicate floral motifs with small roses and leaves",
-    "abstract watercolor spots in pastel colors",
-    "traditional paisley design in earth tones",
-    "modern minimalist lines and circles",
+    ["Cool geometric mountain landscape", "minimal"],
+    ["Vintage motorcycle with flames", "vintage"],
+    ["Abstract watercolor butterfly", "artistic"],
+    ["Sacred geometry mandala", "geometric"],
+    ["Adventure Awaits typography", "typography"],
+]
+
+styles = [
+    "minimal",
+    "vintage",
+    "artistic",
+    "geometric",
+    "typography"
 ]
 
-# Enhanced CSS for better visual design and mobile responsiveness
 css = """
 #col-container {
     margin: 0 auto;
-    max-width: 800px !important;
+    max-width: 1200px !important;
     padding: 20px;
 }
-
 .main-title {
     text-align: center;
     color: #2d3748;
     margin-bottom: 1rem;
     font-family: 'Poppins', sans-serif;
 }
-
 .subtitle {
     text-align: center;
     color: #4a5568;
@@ -78,8 +97,7 @@ css = """
     font-size: 0.95rem;
     line-height: 1.5;
 }
-
-.pattern-input {
+.design-input {
     border: 2px solid #e2e8f0;
     border-radius: 10px;
     padding: 12px !important;
@@ -87,117 +105,74 @@ css = """
     font-size: 1rem;
     transition: all 0.3s ease;
 }
-
-.pattern-input:focus {
-    border-color: #4299e1;
-    box-shadow: 0 0 0 3px rgba(66, 153, 225, 0.1);
-}
-
-.generate-button {
-    background-color: #4299e1 !important;
-    color: white !important;
-    padding: 12px 24px !important;
-    border-radius: 8px !important;
-    font-weight: 600 !important;
-    transition: all 0.3s ease !important;
-}
-
-.generate-button:hover {
-    background-color: #3182ce !important;
-    transform: translateY(-1px);
-}
-
-.result-image {
-    border-radius: 12px;
-    box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1);
-    margin-top: 1rem;
-}
-
-.advanced-settings {
-    margin-top: 1.5rem;
-    border: 1px solid #e2e8f0;
-    border-radius: 10px;
-    padding: 1rem;
-}
-
-/* Mobile Responsiveness */
-@media (max-width: 768px) {
-    #col-container {
-        padding: 12px;
-    }
-    
-    .main-title {
-        font-size: 1.5rem;
-    }
-    
-    .subtitle {
-        font-size: 0.9rem;
-    }
-    
-    .pattern-input {
-        font-size: 0.9rem;
-    }
-}
-
-/* Custom styling for examples section */
-.examples-section {
-    margin-top: 2rem;
-    padding: 1rem;
-    background: #f7fafc;
-    border-radius: 10px;
-}
 """
 
 with gr.Blocks(css=css, theme=gr.themes.Soft()) as demo:
     with gr.Column(elem_id="col-container"):
         gr.Markdown(
             """
-            # 🎨 Deradh's AI Pattern Master
+            # 👕 T-Shirt Design Generator
             """,
             elem_classes=["main-title"]
         )
         
         gr.Markdown(
             """
-            Create beautiful, seamless patterns for your textile designs using AI. 
-            Simply describe your desired pattern, and watch as AI brings your vision to life with 
-            professional-quality, repeatable patterns perfect for fabrics and materials.
+            Create unique t-shirt designs using AI. 
+            Describe your design idea and select a style to generate professional-quality artwork 
+            perfect for custom t-shirts.
             """,
             elem_classes=["subtitle"]
         )
         
         with gr.Row():
-            prompt = gr.Text(
-                label="Pattern Description",
-                show_label=False,
-                max_lines=1,
-                placeholder="Describe your dream pattern (e.g., 'geometric Art Deco shapes in gold and navy')",
-                container=False,
-                elem_classes=["pattern-input"]
-            )
+            with gr.Column(scale=2):
+                prompt = gr.Text(
+                    label="Design Description",
+                    show_label=False,
+                    max_lines=1,
+                    placeholder="Describe your t-shirt design idea",
+                    container=False,
+                    elem_classes=["design-input"]
+                )
+            with gr.Column(scale=1):
+                style = gr.Dropdown(
+                    choices=[""] + styles,
+                    value="",
+                    label="Style",
+                    container=False
+                )
             run_button = gr.Button(
                 "✨ Generate",
                 scale=0,
                 elem_classes=["generate-button"]
             )
         
-        result = gr.Image(
-            label="Your Generated Pattern",
-            show_label=True,
-            elem_classes=["result-image"]
-        )
+        with gr.Row():
+            with gr.Column():
+                result = gr.Image(
+                    label="Generated Design",
+                    show_label=True,
+                    elem_classes=["result-image"]
+                )
+            with gr.Column():
+                preview = gr.Image(
+                    label="T-Shirt Preview",
+                    show_label=True,
+                    elem_classes=["preview-image"]
+                )
         
         with gr.Accordion("🔧 Advanced Settings", open=False):
-            with gr.Group(elem_classes=["advanced-settings"]):
+            with gr.Group():
                 seed = gr.Slider(
-                    label="Pattern Seed",
+                    label="Design Seed",
                     minimum=0,
                     maximum=MAX_SEED,
                     step=1,
                     value=0,
                 )
                 randomize_seed = gr.Checkbox(
-                    label="Randomize Pattern",
+                    label="Randomize Design",
                     value=True
                 )
                 
@@ -225,20 +200,18 @@ with gr.Blocks(css=css, theme=gr.themes.Soft()) as demo:
                     value=4,
                 )
         
-        with gr.Group(elem_classes=["examples-section"]):
-            gr.Markdown("### 💫 Try These Examples")
-            gr.Examples(
-                examples=examples,
-                fn=infer,
-                inputs=[prompt],
-                outputs=[result, seed],
-                cache_examples="lazy"
-            )
+        gr.Examples(
+            examples=examples,
+            fn=infer,
+            inputs=[prompt, style],
+            outputs=[result, seed],
+            cache_examples=True
+        )
         
         gr.on(
             triggers=[run_button.click, prompt.submit],
             fn=infer,
-            inputs=[prompt, seed, randomize_seed, width, height, num_inference_steps],
+            inputs=[prompt, style, seed, randomize_seed, width, height, num_inference_steps],
             outputs=[result, seed]
         )