README.md

README.md

@@ -1,10 +1,10 @@
 ---
 title: SnapClean
-emoji: 📊
+emoji: 🧽🫧
 colorFrom: indigo
-colorTo: blue
+colorTo: orange
 sdk: gradio
-sdk_version: 5.6.0
+sdk_version: 4.42.0
 app_file: app.py
 pinned: false
 license: apache-2.0

app.py

@@ -98,16 +98,6 @@ with gr.Blocks() as demo:
                 layers=False,
                 brush=gr.Brush(colors=["#FFFFFF"], color_mode="fixed")
             )
-
-            prompt = gr.Textbox(lines=2, placeholder="Enter prompt here...")
-            negative_prompt = gr.Textbox(lines=2, placeholder="Enter negative_prompt here...")
-            controlnet_conditioning_scale = gr.Slider(minimum=0, step=0.01, maximum=1, value=0.9,
-                                                      label="controlnet_conditioning_scale")
-            guidance_scale = gr.Slider(minimum=1, step=0.5, maximum=10, value=3.5, label="Image to generate")
-            seed = gr.Slider(minimum=0, step=1, maximum=10000000, value=124, label="Seed Value")
-            num_inference_steps = gr.Slider(minimum=1, step=1, maximum=30, value=24, label="num_inference_steps")
-            true_guidance_scale = gr.Slider(minimum=1, step=1, maximum=10, value=3.5, label="true_guidance_scale")
-
             submit_button_component = gr.Button(
                 value='Submit', variant='primary', scale=0
             )
@@ -118,20 +108,8 @@ with gr.Blocks() as demo:
 
     submit_button_component.click(
         fn=process,
-        inputs=[
-            input_image_editor_component,
-            prompt,
-            negative_prompt,
-            controlnet_conditioning_scale,
-            guidance_scale,
-            seed,
-            num_inference_steps,
-            true_guidance_scale
-
-        ],
-        outputs=[
-            output_image_component,
-        ]
+        inputs=[input_image_editor_component],
+        outputs=[output_image_component]
     )
 
 demo.launch(debug=False, show_error=True, share=True)