Tensorflow version issue solved #11
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1.) load_and_prep_image(image_path) and pred_and_plot(model, img, class_names) are functions that were defined in both app.py and pred.py i commented them out of app.py and imported pred.py in app.py. 2.) To display of the image with the prediction in matplotlib i added 3 lines. 3.) In data.py i adjusted the path to relative path 4.) In pred.py i changed the parameter of tf.io.read_file(img) to tf.io.read_file(filename) which is now correct. 5.) i added the return pred_class 6.) I added all the modules required in the requirements.txt. You can now download all the modules at once by pip install -r requirements.txt 7.) also i updated tensorflow version
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1.) load_and_prep_image(image_path) and pred_and_plot(model, img, class_names) are functions that were defined in both app.py and pred.py i commented them out of app.py and imported pred.py in app.py.
2.) To display of the image with the prediction in matplotlib i added 3 lines of code
3.) In data.py i adjusted the path to relative path
4.) In pred.py i changed the parameter of tf.io.read_file(img) to tf.io.read_file(filename) which is now correct.
5.) i added the return pred_class
6.) I added all the modules required in the requirements.txt. You can now download all the modules at once by pip install -r requirements.txt
7.) also i updated tensorflow version
.