Update app.py

app.py

@@ -10,7 +10,7 @@ import traceback
 # -----------------------------
 YOLO_MODEL_PATH = "best.pt"
 yolo_model = YOLO(YOLO_MODEL_PATH)
-yolo_model.eval()
+
 
 # -----------------------------
 # 2. Reference alphabet image (WebP)
@@ -29,7 +29,7 @@ def predict_asl(image):
         
         img = image.copy()
 
-        results = model.predict(str(img_path), imgsz=300, verbose=False)
+        results = yolo_model.predict(str(img_path), imgsz=300, verbose=False)
         pred_idx = results[0].probs.top1
         pred_label = results[0].names[pred_idx]
         confidence = results[0].probs.top1conf.item() * 100