Flask backend server setting up a POST endpoint that can receive an image, run the loaded model, and return a prediction to the client.
- Install the required packages using the following command:
pip install -r requirements.txt
- Run the server:
python app.py
POST /upload Payload Type: Multipart Form-Data
interface Payload {
file: File,
}Expected Successful Result: Http Status Code - 200
{
"predictions": [
{
"name": "Agaricus bisporus",
"prob": 0.7407903075218201
},
{
"name": "Pleurotus cystidiosus",
"prob": 0.24722404778003693
},
{
"name": "Coprinus comatus",
"prob": 0.003535553580150008
},
{
"name": "Lentinus edodes",
"prob": 0.00287005421705544
},
{
"name": "Agaricus blazei Murill",
"prob": 0.002500273287296295
}
]
}
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