perf: compress example images from 12MB to 542KB (512px JPEG)

app.py

@@ -210,43 +210,43 @@ achieving state-of-the-art results on industrial anomaly detection benchmarks.
 EXAMPLES = [
     # 1. Anomaly Discrimination (yes/no) — bottle contamination
     [
-        "examples/bottle_good.png",
-        "examples/bottle_contamination.png",
+        "examples/bottle_good.jpg",
+        "examples/bottle_contamination.jpg",
         "The first image is a normal sample. Is there any anomaly in the second image? A. Yes B. No. Please answer the letter only.",
         128,
     ],
     # 2. Defect Description — cable cut
     [
-        "examples/cable_good.png",
-        "examples/cable_cut.png",
+        "examples/cable_good.jpg",
+        "examples/cable_cut.jpg",
         "The first image is a normal sample. Compared with the first image, please describe the anomaly in the second image in detail.",
         256,
     ],
     # 3. Fine-grained Defect Localization — bottle contamination
     [
-        "examples/bottle_good.png",
-        "examples/bottle_contamination.png",
+        "examples/bottle_good.jpg",
+        "examples/bottle_contamination.jpg",
         "The first image is a normal sample. Please locate the defects within the second image with bounding box in JSON format.",
         256,
     ],
     # 4. Defect Localization — metal nut scratch
     [
-        "examples/metal_nut_good.png",
-        "examples/metal_nut_scratch.png",
+        "examples/metal_nut_good.jpg",
+        "examples/metal_nut_scratch.jpg",
         "The first image is a normal sample. Please locate the defects within the second image with bounding box in JSON format.",
         256,
     ],
     # 5. Defect Localization — cable cut
     [
-        "examples/cable_good.png",
-        "examples/cable_cut.png",
+        "examples/cable_good.jpg",
+        "examples/cable_cut.jpg",
         "The first image is a normal sample. Please locate the defects within the second image with bounding box in JSON format.",
         256,
     ],
     # 6. Object Counting (single image) — capsules
     [
         None,
-        "examples/capsules_count.png",
+        "examples/capsules_count.jpg",
         "Please locate all capsules in this image with bounding boxes in JSON format, and count the total number of capsules.",
         512,
     ],