added softmax temperature for better uncertainty calibration

app/main.py

@@ -9,8 +9,8 @@ from PIL import Image
 from .model import load_detector, predict_image
 from .video import sample_frames
 
-MAX_IMAGE_SIZE_MB = 20
-MAX_VIDEO_SIZE_MB = 100
+MAX_IMAGE_SIZE_MB = 50
+MAX_VIDEO_SIZE_MB = 300
 N_VIDEO_FRAMES = 5
 
 IMAGE_TYPES = {"image/jpeg", "image/jpg", "image/png", "image/webp"}

app/static/index.html

@@ -251,14 +251,14 @@
 
     function getVerdict(aiScore, mediaType) {
       const T = t();
-      if (aiScore >= 0.60) {
+      if (aiScore > 0.60) {
         return {
           verdict: mediaType === "video" ? T.verdict_ai_video : T.verdict_ai_image,
           advice: T.advice_ai,
           tone: "ai",
         };
       }
-      if (aiScore >= 0.30) {
+      if (aiScore > 0.30) {
         return {
           verdict: mediaType === "video" ? T.verdict_uncertain_video : T.verdict_uncertain_image,
           advice: T.advice_uncertain,
@@ -324,7 +324,7 @@
         showError(t().error_type);
         return;
       }
-      const maxMB = isVideo ? 100 : 20;
+      const maxMB = isVideo ? 300 : 50;
       if (file.size / (1024 * 1024) > maxMB) {
         showError(t().error_size);
         return;