Adjusted hyperparameters

app.py

@@ -100,7 +100,7 @@ with gr.Blocks() as demo:
     gr.Markdown("# Noisy Image Restoration with Diffusion Models")
     
     with gr.Row():
-        T = gr.Slider(4, 200, value=50, step=1, label="Number of Inference Steps (T)")
+        T = gr.Slider(4, 200, value=25, step=1, label="Number of Inference Steps (T)")
         stopping_sigma = gr.Slider(0.1, 5.0, value=0.1, step=0.1, label="Stopping Sigma (c)")
         noise_sigma = gr.Slider(0, 0.6, value=0.05, step=0.01, label="Measurement Noise Sigma (σ_y)")
     
@@ -112,7 +112,7 @@ with gr.Blocks() as demo:
     
     operator_select = gr.Dropdown(
         choices=["Box Inpainting", "Random Inpainting", "Super Resolution", "Gaussian Deblur"],
-        value="Box Inpainting",
+        value="Random Inpainting",
         label="Select Task"
     )