Update app.py

app.py

@@ -49,46 +49,49 @@ def generate_image(prompt, negative_prompt, num_inference_steps=50, guidance_sca
     
     return image
 
+title = """<h1 align="center">ProFaker</h1>"""
 # Create the Gradio interface
 with gr.Blocks() as demo:
-    gr.Markdown("# ProFaker ImageGen")
+    gr.HTML(title)
     
     with gr.Row():
         with gr.Column():
             # Input components
             prompt = gr.Textbox(
                 label="Prompt",
-                placeholder="Enter your image description here...",
-                value="a photo of an astronaut riding a horse on mars"
+                info="Enter your image description here...",
+                lines=3
             )
             negative_prompt = gr.Textbox(
                 label="Negative Prompt",
-                placeholder="Enter what you don't want in photo",
+                info="Enter what you don't want in Image...",
+                lines=3
             )
-            steps_slider = gr.Slider(
-                minimum=1,
-                maximum=100,
-                value=50,
-                step=1,
-                label="Number of Inference Steps"
-            )
-            guidance_slider = gr.Slider(
-                minimum=1,
-                maximum=20,
-                value=7.5,
-                step=0.5,
-                label="Guidance Scale"
-            )
-            model = gr.Dropdown(
-                choices=["Real6.0","Real5.1","Real5.0"],
-                value="Real6.0",
-                label="Model",
-            )
-            generate_button = gr.Button("Generate Image")
-        
         with gr.Column():
             # Output component
             image_output = gr.Image(label="Generated Image")
+            
+    with gr.Row():
+        steps_slider = gr.Slider(
+            minimum=1,
+            maximum=100,
+            value=50,
+            step=1,
+            label="Number of Inference Steps"
+        )
+        guidance_slider = gr.Slider(
+            minimum=1,
+            maximum=20,
+            value=7.5,
+            step=0.5,
+            label="Guidance Scale"
+        )
+        model = gr.Dropdown(
+            choices=["Real6.0","Real5.1","Real5.0"],
+            value="Real6.0",
+            label="Model",
+        )
+        generate_button = gr.Button("Generate Image")
     
     # Connect the interface to the generation function
     generate_button.click(
@@ -96,15 +99,5 @@ with gr.Blocks() as demo:
         inputs=[prompt, negative_prompt, steps_slider, guidance_slider, model],
         outputs=image_output
     )
-    
-    gr.Markdown("""
-    ## Instructions
-    1. Enter your desired image description in the prompt field
-    2. Adjust the inference steps (higher = better quality but slower)
-    3. Adjust the guidance scale (higher = more prompt adherence)
-    4. Click 'Generate Image' and wait for the result
-    """)
 
-# Launch the interface
-if __name__ == "__main__":
-    demo.launch(share=True)
+demo.queue(max_size=10).launch(share=False)