feat: remove gamma, lambda_, sigma as inputs

app.py

@@ -4,18 +4,15 @@ from exposure_enhancement import enhance_image_exposure
 
 # inputs, fn, and ouputs
 inputs=[
-        gr.Image(type="numpy"),
-        gr.Slider(minimum=0, maximum=1, value=0.6, label="Gamma", info="The gamma correction parameter."),
-        gr.Slider(minimum=0, maximum=1, value=0.15, label="Lambda", info="The weight for balancing the two terms in the illumination refinement optimization objective."),
-        gr.Number(value=3, minimum=0, label="Sigma", info="Spatial standard deviation for spatial affinity based Gaussian weights.")
+        gr.Image(type="numpy")
 ]
 outputs=["image"]
 examples=[
-    ["demo/1.jpg", 0.6, 0.15, 3],
-    ["demo/2.bmp", 0.6, 0.15, 3]
+    ["demo/1.jpg"],
+    ["demo/2.bmp"]
 ]
 
-def enhance_image(image, gamma, lambda_, sigma, lime=True, bc=1, bs=1, be=1, eps=1e-3):
+def enhance_image(image, gamma=0.6, lambda_=0.15, sigma=3, lime=True, bc=1, bs=1, be=1, eps=1e-3):
     # enhance image
     enhanced_image = enhance_image_exposure(image, gamma, lambda_, not lime, sigma=sigma, bc=bc, bs=bs, be=be, eps=eps)