The Google Assistant application was created in several iteration steps. My ambition was to create an app using deep learning that could generate text. The model would be trained by using an API pulling the content of books. Unfortunately, I could not find an API that would return a large amount of text. Therefore, the first alternative that came to my mind, was to load in a text file or multiple text files for training. Due to the limited capabilities of Heroku the processing of this process seemed impossible.
The graph below shows the second iteration of the workflow diagram:
Due to the complexity of the project the scope was refined. Saving the generated text to the personal Google Drive is only possible if the authentication information can be accessed. To simplify the application and avoid errors the steps marked in red were eliminated.
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