ASL app

app.py

@@ -9,6 +9,7 @@ classes = ['ain', 'al', 'aleff','bb','dal','dha','dhad','fa','gaaf','ghain','ha'
         'meem','nun','ra','saad','seen','sheen','ta','taa','thaa','thal','toot','waw','ya','yaa','zay']
 TargetMapper = dict(zip(range(32),classes))
 def show_preds_image(image_path):
+    print(image_path)
     image = cv2.imread(image_path)
     outputs = model.predict(source=image_path)
     results = outputs[0].cpu().numpy()