Update app.py

app.py

@@ -12,45 +12,28 @@ MAX_SEED = np.iinfo(np.int32).max
 
 pipe = FluxKontextPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", torch_dtype=torch.bfloat16).to("cuda")
 
+seed=42
+randomize_seed=False
+guidance_scale=2.5
+steps=28, 
+
 @spaces.GPU
-def infer(input_image, prompt, seed=42, randomize_seed=False, guidance_scale=2.5, steps=28, progress=gr.Progress(track_tqdm=True)):
+def infer(input_image, prompt, progress=gr.Progress(track_tqdm=True)):
     """
-    Perform image editing using the FLUX.1 Kontext pipeline.
-    
-    This function takes an input image and a text prompt to generate a modified version
-    of the image based on the provided instructions. It uses the FLUX.1 Kontext model
-    for contextual image editing tasks.
+    Perform image editing using the FLUX.1 Kontext pipeline. This function takes an input image and a text 
+    prompt to generate a modified version of the image based on the provided instructions. It uses the FLUX.1 
+    Kontext model for contextual image editing tasks.
     
     Args:
         input_image (PIL.Image.Image): The input image to be edited. Will be converted
             to RGB format if not already in that format.
         prompt (str): Text description of the desired edit to apply to the image.
             Examples: "Remove glasses", "Add a hat", "Change background to beach".
-        seed (int, optional): Random seed for reproducible generation. Defaults to 42.
-            Must be between 0 and MAX_SEED (2^31 - 1).
-        randomize_seed (bool, optional): If True, generates a random seed instead of
-            using the provided seed value. Defaults to False.
-        guidance_scale (float, optional): Controls how closely the model follows the
-            prompt. Higher values mean stronger adherence to the prompt but may reduce
-            image quality. Range: 1.0-10.0. Defaults to 2.5.
-        steps (int, optional): Controls how many steps to run the diffusion model for.
-            Range: 1-30. Defaults to 28.
-        progress (gr.Progress, optional): Gradio progress tracker for monitoring
-            generation progress. Defaults to gr.Progress(track_tqdm=True).
     
     Returns:
         tuple: A 2-tuple containing:
             - tuple of (PIL.Image.Image, PIL.Image.Image): The original image, generated/edited image
-            - int: The seed value used for generation (useful when randomize_seed=True)
-    
-    Example:
-        >>> edited_image, used_seed, button_update = infer(
-        ...     input_image=my_image,
-        ...     prompt="Add sunglasses",
-        ...     seed=123,
-        ...     randomize_seed=False,
-        ...     guidance_scale=2.5
-        ... )
+            - int: The seed value used for generation (useful when randomize_seed=True)    
     """
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
@@ -75,80 +58,34 @@ def infer(input_image, prompt, seed=42, randomize_seed=False, guidance_scale=2.5
         ).images[0]
     return (input_image, image), seed
 
-css="""
-#col-container {
-    margin: 0 auto;
-    max-width: 960px;
-}
-"""
 
-with gr.Blocks(css=css) as demo:
-    
-    with gr.Column(elem_id="col-container"):
-        gr.Markdown(f"""# FLUX.1 Kontext [dev]
+title = f"""# FLUX.1 Kontext [dev]
 Image editing and manipulation model guidance-distilled from FLUX.1 Kontext [pro], [[blog]](https://bfl.ai/announcements/flux-1-kontext-dev) [[model]](https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev)
-        """)
-        with gr.Row():
-            with gr.Column():
-                input_image = gr.Image(label="Upload the image for editing", type="pil")
-                with gr.Row():
-                    prompt = gr.Text(
-                        label="Prompt",
-                        show_label=False,
-                        max_lines=1,
-                        placeholder="Enter your prompt for editing (e.g., 'Remove glasses', 'Add a hat')",
-                        container=False,
-                    )
-                    run_button = gr.Button("Run", scale=0)
-                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)
-                    
-                    guidance_scale = gr.Slider(
-                        label="Guidance Scale",
-                        minimum=1,
-                        maximum=10,
-                        step=0.1,
-                        value=2.5,
-                    )       
-                    
-                    steps = gr.Slider(
-                        label="Steps",
-                        minimum=1,
-                        maximum=30,
-                        value=28,
-                        step=1
-                    )
-                    
-            with gr.Column():
-                result = gr.ImageSlider(label="Result", show_label=False, interactive=False)
-        
-            
-        examples = gr.Examples(
-            examples=[
-                ["flowers.png", "turn the flowers into sunflowers"],
-                ["monster.png", "make this monster ride a skateboard on the beach"],
-                ["cat.png", "make this cat happy"]
-            ],
-            inputs=[input_image, prompt],
-            outputs=[result, seed],
-            fn=infer,
-            cache_examples="lazy"
-        )
-            
-    gr.on(
-        triggers=[run_button.click, prompt.submit],
-        fn = infer,
-        inputs = [input_image, prompt, seed, randomize_seed, guidance_scale, steps],
-        outputs = [result, seed]
-    )
+"""
 
+demo = gr.Interface(
+    fn=infer,
+    inputs=[
+        gr.Image(label="Upload the image for editing", type="pil"),
+        gr.Text(
+            label="Prompt",
+            show_label=False,
+            max_lines=1,
+            placeholder="Enter your prompt for editing (e.g., 'Remove glasses', 'Add a hat')",
+            container=False,
+        )        
+    ],
+    outputs=[
+        gr.ImageSlider(label="Result", show_label=False)
+    ],
+    examples=[
+        ["flowers.png", "turn the flowers into sunflowers"],
+        ["monster.png", "make this monster ride a skateboard on the beach"],
+        ["cat.png", "make this cat happy"]
+    ],
+    cache_examples=True,
+    cache_mode="lazy",
+    title=title
+)
+    
 demo.launch(mcp_server=True)