Update app.py

app.py

@@ -2,10 +2,8 @@ import gradio as gr
 import numpy as np
 import random
 from PIL import Image, ImageDraw, ImageFont
-import io
-
-from diffusers import DiffusionPipeline
 import torch
+from diffusers import DiffusionPipeline
 
 # ===== CONFIG =====
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -15,7 +13,7 @@ pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype,
 pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 1024
+IMAGE_SIZE = 1024
 WATERMARK_TEXT = "SelamGPT"
 
 # ===== WATERMARK FUNCTION =====
@@ -33,14 +31,12 @@ def add_watermark(image):
     draw.text((x, y), WATERMARK_TEXT, font=font, fill=(255, 255, 255))
     return image
 
-# ===== IMAGE GENERATION FUNCTION =====
+# ===== INFERENCE FUNCTION =====
 def generate(
     prompt,
     negative_prompt,
     seed,
     randomize_seed,
-    width,
-    height,
     guidance_scale,
     num_inference_steps,
     progress=gr.Progress(track_tqdm=True),
@@ -55,8 +51,8 @@ def generate(
     result = pipe(
         prompt=prompt,
         negative_prompt=negative_prompt,
-        width=width,
-        height=height,
+        width=IMAGE_SIZE,
+        height=IMAGE_SIZE,
         guidance_scale=guidance_scale,
         num_inference_steps=num_inference_steps,
         generator=generator,
@@ -67,49 +63,38 @@ def generate(
 
 # ===== EXAMPLES =====
 examples = [
-    "A futuristic Ethiopian city with flying cars",
-    "An ancient Aksumite queen in a high-tech palace, digital painting",
-    "A cyberpunk Habesha coffee ceremony on Mars",
+    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
+    "An astronaut riding a green horse",
+    "A delicious ceviche cheesecake slice",
 ]
 
 # ===== INTERFACE =====
-theme = gr.themes.Default(
-    primary_hue="cyan",
-    secondary_hue="amber",
-    font=[gr.themes.GoogleFont("Poppins"), "sans-serif"]
-)
+css = "#container { max-width: 700px; margin: auto; }"
 
-css = "#container { max-width: 800px; margin: 0 auto; }"
-
-with gr.Blocks(css=css, theme=theme, title="SelamGPT Turbo Image Generator") as demo:
+with gr.Blocks(css=css, title="SelamGPT Turbo Generator") as demo:
     with gr.Column(elem_id="container"):
-        gr.Markdown("# 🎨 SelamGPT Turbo Image Generator\n*Powered by SDXL-Turbo (Fast & Creative)*")
+        gr.Markdown("# 🖼️ SelamGPT Image Generator")
 
         with gr.Row():
             prompt = gr.Textbox(
                 label="Prompt",
                 show_label=False,
-                placeholder="Describe the image...",
-                lines=2,
+                placeholder="Enter your prompt",
+                lines=1,
                 scale=3
             )
             generate_btn = gr.Button("Generate", variant="primary")
 
-        image_output = gr.Image(label="Generated Image", type="pil", format="png", height=512)
-        seed_output = gr.Textbox(label="Seed Used", interactive=False)
+        output_image = gr.Image(label="Generated Image", type="pil", format="png")
+        seed_display = gr.Textbox(label="Seed Used", interactive=False)
 
         with gr.Accordion("⚙️ Advanced Settings", open=False):
-            negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="Things to avoid (optional)", max_lines=1)
+            negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What to avoid (optional)", max_lines=1)
             randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
-            seed = gr.Slider(0, MAX_SEED, label="Seed", step=1, value=0)
-
-            with gr.Row():
-                width = gr.Slider(256, MAX_IMAGE_SIZE, step=32, label="Width", value=1024)
-                height = gr.Slider(256, MAX_IMAGE_SIZE, step=32, label="Height", value=1024)
+            seed = gr.Slider(0, MAX_SEED, step=1, label="Seed", value=0)
 
-            with gr.Row():
-                guidance_scale = gr.Slider(0.0, 10.0, step=0.1, label="Guidance Scale", value=0.0)
-                num_inference_steps = gr.Slider(1, 50, step=1, label="Inference Steps", value=2)
+            guidance_scale = gr.Slider(0.0, 10.0, step=0.1, label="Guidance Scale", value=0.0)
+            num_inference_steps = gr.Slider(1, 50, step=1, label="Inference Steps", value=2)
 
         gr.Examples(examples=examples, inputs=[prompt])
 
@@ -120,13 +105,11 @@ with gr.Blocks(css=css, theme=theme, title="SelamGPT Turbo Image Generator") as
                 negative_prompt,
                 seed,
                 randomize_seed,
-                width,
-                height,
                 guidance_scale,
                 num_inference_steps
             ],
-            outputs=[image_output, seed_output]
+            outputs=[output_image, seed_display]
         )
 
 if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860)
+    demo.launch()