This is the full code and could someone help me to fix this bug. Could you explain the bug please ? thannks a lots.

\#\#\# Classification Forest vs Desert Classification is one of the most important tasks in machine learning. In this project you need to write a classification program that classifies between two sets of images - forest and desert The data provided with this project has the following parameters. There are two folders, Forest and Desert. Each folder contains 401 high quality annotated JPG images. Project information and dataset is available under - ForestvsDesert.zip 0]: \# Load the model 2] : model = tf.keras.models.load_model('forest_vs_desert.h5') 3]: \# Use the model for prediction 4] : img = tf.keras.preprocessing.image.load_img(' D:\ Study \ML\d desert.26.jpg', target_size=(224, 224)) img = tf.keras.preprocessing.image.img_to_array(img) /255. img = np.expand_dims('D: \Study \ML\ desert.26.jpg', axis=0) prediction = model.predict (D:\Study\ML\ desert. 26.jpg) prediction =tf. where ( prediction >=0.5,1,0) IndexError Traceback (most recent call last) - - >1 prediction = model.predict( ' D:\Study\ML\ desert.26.jpg' ) 2 prediction =tf where ( prediction =0.5,1,0) 68# To get the full stack trace, call: \#'tf.debugging.disable_traceback_filtering() raise e.with_traceback(filtered_tb) from None finally: del filtered_tb IndexError: tuple index out of range