ML Endpoint API

This API serves as an endpoint for making predictions using TensorFlow Lite and TensorFlow models. It provides two accessible routes.

Route 1: Predict Place

Description

This route is used to predict a place based on the input text using the TensorFlow Lite model.

Endpoint

POST /predict_place

Request Parameters

Name	Type	Description
req	JSON	Request object containing text data

Sample Request

{
  "data": "category"
}

Response Parameters

Name	Type	Description
status	string	Response status ("success" if successful)
error	bool	Indicates if an error occurred or not
result	array	Prediction result (string array)

Sample Response

{
  "status": "success",
  "error": false,
  "result": [
    "Place 1",
    "Place 2",
    "Place 3"
  ]
}

Route 2: Predict Places

Description

This route is used to predict multiple places based on a list of input texts using the TensorFlow model.

Endpoint

POST /predict_places

Request Parameters

Name	Type	Description
req	JSON	Request object containing list of text data

Sample Request

{
  "data": [
    "category1",
    "category2",
    "category3"
  ]
}

Response Parameters

Name	Type	Description
status	string	Response status ("success" if successful)
error	bool	Indicates if an error occurred or not
result	array	Prediction results (string array)

Sample Response

{
  "status": "success",
  "error": false,
  "result": [
    "Place 1",
    "Place 2",
    "Place 3"
  ]
}

Error Handling

If an error occurs during the prediction process, the API will respond with a status code of 500 and the message "Internal Server Error".