📲Inference API Response

The user can optionally send you either their Sentiment or Personality Traits

Output Format

Sentiment JSON

The API responds with a JSON object containing an output field. This field is an array of arrays, where each sub-array contains a single element representing the prediction score from the model. This score is a floating-point number reflecting the model's confidence for the input provided.

Example of the output format:

{
  "output": [
    [[0.9998]],
    [[0.9999]],
    [[0.9922]],
    [[0.0013]],
    // Additional scores for more entries
  ]
}

Each score is deeply nested within two arrays to maintain compatibility with batch processing systems that may require this format.

Interpretation of Output

• A score close to 1 indicates a high confidence level in the prediction.

• A score close to 0 indicates a low confidence level in the prediction.

• The sequence of scores corresponds to the order of the input entries.

Traits JSON

If the decides to send you their Personality Traits, there will be the following JSON present API responds with a JSON object. This is an object containing positive_traits and traits_to_improve. The assicautated score is the level of each trait

Example of the output format:

{
  "Traits": {
    "positive_traits": {
      "trait1": 9.7,
      "trait2": 9.6,
      "trait3": 9.1,
      "trait4": 8.8,
    ],
    "traits_to_improve": {
      "trait1": 1.7,
      "trait2": 3.6,
    ]
  ]
}

Interpretation of Output

• positive_traits: Strong character defining Traits of the user. Levels 0-10 (1 dp)

• traits_to_improve: Traits of the user which they are improving/need to improve. Levels 0-10 (1 dp)