Update app.py

app.py

@@ -38,9 +38,9 @@ model = load_learner("model.pkl")
 def predict(img):
     logging.warning(f"{img}")
     try:
-        logger.warning(f"Shape: {img.shape}")
+        logging.warning(f"Shape: {img.shape}")
     except AttributeError:
-        logger.warning(f"Size: {img.size}")
+        logging.warning(f"Size: {img.size}")
     pred, idx, probs = model.predict(img)
     logging.debug(f"{type(probs)}")
     logging.debug(f"{type(probs[0])}")