Update app.py

app.py

@@ -17,20 +17,17 @@ else:
 
 MAX_SEED = np.iinfo(np.int32).max
 
-def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
-        
+def infer(prompt, width, height):
+    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, 
+        guidance_scale=7.5, 
+        num_inference_steps=50, 
+        width=width, 
+        height=height,
+        generator=generator
     ).images[0] 
     
     return image
@@ -40,6 +37,7 @@ examples = [
     "Flying carpet in space",
     "Unicorn riding a camel in the Sahara Desert",
     "Moroccan souk floating in the sky",
+    "Traditional Amazigh jewelry under the moonlight"
 ]
 
 css="""
@@ -68,8 +66,7 @@ with gr.Blocks(css=css) as demo:
         """)
         
         with gr.Row():
-            
-            prompt = gr.Text(
+            prompt = gr.Textbox(
                 label="Prompt",
                 show_label=False,
                 max_lines=1,
@@ -99,8 +96,8 @@ with gr.Blocks(css=css) as demo:
             )
         
         gr.Examples(
-            examples = examples,
-            inputs = [prompt]
+            examples=examples,
+            inputs=[prompt]
         )
         
         gr.Markdown("""
@@ -110,9 +107,9 @@ with gr.Blocks(css=css) as demo:
         """)
 
     run_button.click(
-        fn = infer,
-        inputs = [prompt, "", 0, True, width, height, 0, 2],
-        outputs = [result]
+        fn=infer,
+        inputs=[prompt, width, height],
+        outputs=[result]
     )
 
 demo.queue().launch()