chore : refine

app.py

@@ -42,11 +42,14 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidan
         seed = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed)
 
-    refined_prompt = run_gemini(
-        target_prompt=prompt,
-        prompt_in_path="prompt.json",
-    )
-    print(f"Refined prompt: {refined_prompt}")
+    if refine_prompt:
+        refined_prompt = run_gemini(
+            target_prompt=prompt,
+            prompt_in_path="prompt.json",
+        )
+        print(f"Refined prompt: {refined_prompt}")
+    else:
+        refined_prompt = prompt
     
     for img in pipe.flux_pipe_call_that_returns_an_iterable_of_images(
             prompt=refined_prompt,
@@ -77,7 +80,7 @@ with gr.Blocks(css=css) as demo:
     
     with gr.Column(elem_id="col-container"):
         gr.Markdown(f"""# [POSTECH] PONIX Generator 🌊
-[[non-commercial license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)] [[blog](https://blackforestlabs.ai/announcing-black-forest-labs/)] [[model](https://huggingface.co/black-forest-labs/FLUX.1-dev)]
+([based on FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md))
         """)
         
         with gr.Row():
@@ -88,23 +91,27 @@ with gr.Blocks(css=css) as demo:
                 max_lines=1,
                 placeholder="Enter your prompt",
                 container=False,
-            )
+            )  
             
             run_button = gr.Button("Run", scale=0)
         
         result = gr.Image(label="Result", show_label=False)
         
         with gr.Accordion("Advanced Settings", open=False):
-            
-            seed = gr.Slider(
-                label="Seed",
-                minimum=0,
-                maximum=MAX_SEED,
-                step=1,
-                value=0,
-            )
-            
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+
+            with gr.Row():
+
+                refine_prompt = gr.Checkbox(label="Refine prompt", value=True)
+                
+                seed = gr.Slider(
+                    label="Seed",
+                    minimum=0,
+                    maximum=MAX_SEED,
+                    step=1,
+                    value=0,
+                )
+                
+                randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
             
             with gr.Row():