{"repo":"marcogdepinto/Deep-learning-model-deploy-with-django","free":true,"listed":false,"github":"https://github.com/marcogdepinto/Deep-learning-model-deploy-with-django","clone":"git clone https://github.com/marcogdepinto/Deep-learning-model-deploy-with-django.git","description":"Serving a keras model (neural networks) in a website with the python Django-REST framework.","language":"Python","stars":93,"topics":["django","django-rest-framework","django-application","django-framework","python","python-3","python3","api-rest","api","keras-tensorflow"],"license":"GPL-3.0","category":"api-integrations-sdks","readme_excerpt":"Deep learning model deploy with Django Executive Summary This project is a Django-REST API that offers the consumption of a deep learning model using a simple front end. The model adopted in this work is the previous version of an Emotion Classifier trained with audio files of the RAVDESS dataset. To know more, see this repository. How does this work? User Journey The user journey starts on the index page at where it is possible to choose if 1) Upload a new file on the server; 2) Delete a file from the server (WIP); 3) Make a prediction on a file already on the server; Choosing the user will be redirected to a modified home page. The user will be asked to pick a file from his computer. The UI will confirm if the operation has been successful. Choosing the user will be redirected to a modified home page. In this page, it will be possible to see a list of the files already on the server. Following the path it will be also possible to listen to the audio file. After clicking on , the user will be redirected to a modified home page that will include the prediction made by the Keras model for the file selected. Developers stuff DB creation PostgreSQL needs to be installed. To facilitate the configuration, I suggest to use a Db manager with UI, like pgAdmin. After the installation of PostgreSQL, it is possible to use pgAdmin to create a database and a table. The table can be created with the following script: Please note the above script is made with the data available in the , but","default_branch":null,"files":null,"tree":[],"storefront":"/r/marcogdepinto","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/marcogdepinto/Deep-learning-model-deploy-with-django/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}