Update app.py

app.py

@@ -60,7 +60,6 @@ def simple_threshold_blue(image_bgr):
     return perc_blue, mask
 
 
-
 def plot_color_histogram(image_bgr):
     """
     Creates a matplotlib figure of B, G, and R channel histograms.
@@ -99,7 +98,7 @@ demonstrating how tools like Python, OpenCV, and Streamlit can automate **qualit
 
 Below, you can:
 1. **Generate** a synthetic image with random shades of **blue** and **near-white** regions.
-2. **Analyze** the image using both **Simple** and **Advanced** thresholding.
+2. **Analyze** the image using **Simple** thresholding.
 3. **Visualize** color histograms and masks.
 4. See how this **digital transformation** approach can benefit large-scale production lines.