Update video_api.py

video_api.py

@@ -65,7 +65,7 @@ THUMBNAIL_MAX_DIM = 240
 FRAMES_PER_VIDEO  = int(os.getenv("FRAMES_PER_VIDEO", "25"))
 FAKE_THRESHOLD       = float(os.getenv("FAKE_THRESHOLD", "0.40"))        # video threshold (kept for compat)
 IMAGE_FAKE_THRESHOLD = float(os.getenv("IMAGE_FAKE_THRESHOLD", "0.35"))  # image: flag fake if fake_prob >= 0.35
-VIDEO_FAKE_THRESHOLD = float(os.getenv("VIDEO_FAKE_THRESHOLD", "0.50"))  # video threshold
+VIDEO_FAKE_THRESHOLD = float(os.getenv("VIDEO_FAKE_THRESHOLD", "0.55"))  # video threshold
 
 # ── INVERT_SIGMOID — set based on how YOUR model was trained ────────────────
 # Our from-scratch CNN was trained with 0=Real, 1=Fake and a plain sigmoid,