https://github.com/rexsimiloluwah/fastapi-ml-apps
Machine learning apps built with FastAPI
https://github.com/rexsimiloluwah/fastapi-ml-apps
docker fastapi machine-learning python scikit-learn tensorflow
Last synced: 3 months ago
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Machine learning apps built with FastAPI
- Host: GitHub
- URL: https://github.com/rexsimiloluwah/fastapi-ml-apps
- Owner: rexsimiloluwah
- Created: 2021-01-21T08:48:53.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2022-04-20T22:22:07.000Z (about 4 years ago)
- Last Synced: 2025-03-30T11:15:24.238Z (about 1 year ago)
- Topics: docker, fastapi, machine-learning, python, scikit-learn, tensorflow
- Language: Python
- Homepage: https://fastapi-ml-apps.herokuapp.com
- Size: 50.8 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## FastAPI Machine learning apps
[](https://www.python.org/)
[](https://www.python.org/downloads/release/python-360/)
Just a collection of simple machine learning apps built and deployed using FastAPI and Python.
- [Heart disease prediction app](https://fastapi-ml-apps.herokuapp.com/heartdisease)
- [Sentiment analysis app (NLP)](https://fastapi-ml-apps.herokuapp.com/moviessentiment)
- [Object detection app (Computer vision)](https://fastapi-ml-apps.herokuapp.com/object-detection)
- Flower multi-classification app (Computer vision)
## Running the app
**1.** Running the app locally on a development server
Clone the repository :-
```
$ git clone https://github.com/rexsimiloluwah/fastapi-ml-apps.git
$ mkdir fastapi-ml-apps
```
Install requirements/ app dependencies :-
```
$ pip install -r requirements.txt
```
Run the app :-
```
$ cd app && python main.py
```
> View the app on http://localhost:5000
**2.** Running the app via Docker
```
$ docker run --rm -p 5050:5050 similoluwaokunowo/fastapi-ml-apps
```
> View the app on http://localhost:5050
Pulling the docker image
```
$ docker pull similoluwaokunowo/fastapi-ml-apps
```
*Computer vision app is not live yet due to slug size issues with tensorflow and keras
> All APIs are available on http://localhost:5000/docs locally or https://fastapi-ml-apps.herokuapp.com/docs
i.e. For the Object detection API:-
**Sample request**
```
curl --location --request POST 'http://localhost:5000/objectdetection/predict' --form 'file=@"/C:/Users/IT/Downloads/dog-hug.jpg"'
```
**Response**
```
{
"status": true,
"data": {
"predictions": [
{
"class": "dog",
"confidence": 0.9255891442298889,
"bounding_box": [3, 386, 1098, 1340],
"color": [28, 220, 131]
},
{
"class": "person",
"confidence": 0.9850807785987854,
"bounding_box": [848, 146, 2002, 1330],
"color": [48, 84, 0]
}
]
}
}
```
To view the live app :-
> Go to https://fastapi-ml-apps.herokuapp.com
Thanks for reading.