Adjusted hyperparameters

app.py

@@ -100,9 +100,9 @@ with gr.Blocks() as demo:
     gr.Markdown("# Noisy Image Restoration with Diffusion Models")
     
     with gr.Row():
-        T = gr.Slider(10, 200, value=50, step=1, label="Number of Inference Steps (T)")
+        T = gr.Slider(4, 200, value=50, 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="Noise Sigma")
+        noise_sigma = gr.Slider(0, 0.6, value=0.05, step=0.01, label="Measurement Noise Sigma (σ_y)")
     
     image_select = gr.Dropdown(
         choices=["CelebA HQ 1", "CelebA HQ 2", "CelebA HQ 3", "LSUN Church"],