remove required inputs

app.py

@@ -66,11 +66,7 @@ def inference(
     qr_code_content: str,
     prompt: str = "Sky view of highly aesthetic, ancient greek thermal baths in beautiful nature",
     negative_prompt: str = "ugly, disfigured, low quality, blurry, nsfw",
-    guidance_scale: float = 7.5,
-    controlnet_conditioning_scale: float = 1.5,
-    strength: float = 0.9,
-    seed: int = 2523992465,
-    sampler = "DPM++ Karras SDE",
+    
 ):
     if prompt is None or prompt == "":
         raise gr.Error("Prompt is required")
@@ -80,6 +76,11 @@ def inference(
 
     pipe.scheduler = SAMPLER_MAP[sampler](pipe.scheduler.config)
 
+    guidance_scale = 7.5,
+    controlnet_conditioning_scale = 1.5,
+    strength = 0.9,
+    seed = 2523992465,
+    sampler = "DPM++ Karras SDE",
     init_image = None
     qrcode_image = None
     use_qr_code_as_init_image = True
@@ -136,33 +137,7 @@ generator = gr.Interface(
         gr.Textbox(
             label="Negative Prompt",
             value="ugly, disfigured, low quality, blurry, nsfw",
-        ),
-        gr.Slider(
-            minimum=0.0,
-            maximum=10.0,
-            step=0.01,
-            value=1.1,
-            label="Controlnet Guidance Scale",
-        ),
-        gr.Slider(
-            minimum=0.0,
-            maximum=5.0,
-            step=0.01,
-            value=1.1,
-            label="Controlnet Conditioning Scale",
-        ),
-        gr.Slider(
-            minimum=0.0, maximum=1.0, step=0.01, value=0.9, label="Strength"
-        ),
-        gr.Slider(
-            minimum=-1,
-            maximum=9999999999,
-            step=1,
-            value=2313123,
-            label="Seed",
-            randomize=True,
-        ),
-        gr.Dropdown(choices=list(SAMPLER_MAP.keys()), value="DPM++ Karras SDE", label="Sampler"),
+        )
     ],
     outputs="image"
 )