Various Deep learning models deployed on a Django API with a React Frontend.
- Text Completion
- Translation
- Sentiment Analysis
- Image Classification
- Object Detection
You don't need a GPU to use it, the backend can run on a CPU only, it will require about 2GB of ram.
See created design : Figma Template
See Django AI live : Demo Website (frontend only)
Created with python 3.10.6. You can configure the django app with /backend/config/settings.py
-
python -m venv env_name -
source env_name/bin/activate -
python -m pip install -r requirements.txt -
python -m manage.py makemigrations python -m manage.py migrate -
python manage.py runserver
While dev server is launched, you can access http://localhost:8000/api/v1/ with browser. You can use the debug interface to list and get predictions.
Images are stored into /media/ folder, predictions data are stored into database.
You can configure database with /config/settings.py
Created with Node v17.9.1 and NPM v8.11.0. You can configure the API url in /frontend/src/api/index.ts
Install required node libraries.
Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
Launches the test runner in the interactive watch mode.
See the section about running tests for more information.
Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
See the section about deployment for more information.
Note: this is a one-way operation. Once you eject, you can’t go back!
If you aren’t satisfied with the build tool and configuration choices, you can eject at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except eject will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.
You don’t have to ever use eject. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.
You can learn more in the Create React App documentation.
To learn React, check out the React documentation.