Update app.py

app.py

@@ -7,7 +7,7 @@ st.write(x, 'squared is', x * x)
 
 #loaded_model = keras.saving.load_model("jableable/road_model")
 
-model = from_pretrained_keras("jableable/road_model")
+model = from_pretrained_keras("keras-io/ocr-for-captcha")
 #prediction = model.predict(image)
 #prediction = tf.squeeze(tf.round(prediction))
 #print(f'The image is a {classes[(np.argmax(prediction))]}!')