openapi: 3.2.0 info: title: Text Features Emotion Detection API version: '2.0' description: Your project description servers: - url: https://api.edenai.run/v2 tags: - name: Emotion Detection paths: /text/emotion_detection/: post: operationId: text_emotion_detection_create description: 'Available Providers |Provider|Version|Price|Billing unit| |----|-------|-----|------------| |**vernai**|`v1`|2.0 (per 1000 request)|1 request' summary: Emotion Detection tags: - Emotion Detection requestBody: content: application/json: schema: $ref: '#/components/schemas/textemotion_detectionEmotionDetectionRequest' examples: RequestExample: value: providers: vernai text: I'm scared! summary: Request Example required: true security: - FeatureApiAuth: [] responses: '200': content: application/json: schema: $ref: '#/components/schemas/textemotion_detectionResponseModel' examples: ResponseExample: value: vernai: text: I'm scared items: - emotion: Fear emotion_score: 51.0 - emotion: Sadness emotion_score: 51.0 - emotion: Anger emotion_score: 0.0 - emotion: Love emotion_score: 0.0 cost: 0.0 summary: Response Example description: '' '400': content: application/json: schema: $ref: '#/components/schemas/BadRequest' description: '' '500': content: application/json: schema: $ref: '#/components/schemas/Error' description: '' '403': content: application/json: schema: $ref: '#/components/schemas/Error' description: '' '404': content: application/json: schema: $ref: '#/components/schemas/NotFoundResponse' description: '' components: schemas: textemotion_detectionResponseModel: properties: vernai: $ref: '#/components/schemas/textemotion_detectionEmotionDetectionDataClass' default: null title: textemotion_detectionResponseModel type: object FieldError: type: object properties: : type: array items: type: string required: - textemotion_detectionEmotionDetectionRequest: type: object properties: settings: type: string default: {} description: "A dictionnary or a json object to specify specific models to use for some providers.
It can be in the following format: {\"google\" : \"google_model\", \"ibm\": \"ibm_model\"...}.\n " providers: type: array items: type: string minLength: 1 description: 'It can be one (ex: **''amazon''** or **''google''**) or multiple provider(s) (ex: **''amazon,microsoft,google''**) that the data will be redirected to in order to get the processed results.
Providers can also be invoked with specific models (ex: providers: **''amazon/model1, amazon/model2, google/model3''**)' fallback_providers: type: array items: type: string default: [] description: "Providers in this list will be used as fallback if the call to provider in `providers` parameter fails.\n To use this feature, you must input **only one** provider in the `providers` parameter. but you can put up to 5 fallbacks.\n\nThey will be tried in the same order they are input, and it will stop to the first provider who doesn't fail.\n\n\n*Doesn't work with async subfeatures.*\n " maxItems: 5 response_as_dict: type: boolean default: true description: "Optional : When set to **true** (default), the response is an object of responses with providers names as keys :
\n ``` {\"google\" : { \"status\": \"success\", ... }, } ```
\n When set to **false** the response structure is a list of response objects :
\n ``` [{\"status\": \"success\", \"provider\": \"google\" ... }, ] ```.
\n " attributes_as_list: type: boolean default: false description: "Optional : When set to **false** (default) the structure of the extracted items is list of objects having different attributes :
\n ```{'items': [{\"attribute_1\": \"x1\",\"attribute_2\": \"y2\"}, ... ]}```
\n When it is set to **true**, the response contains an object with each attribute as a list :
\n ```{ \"attribute_1\": [\"x1\",\"x2\", ...], \"attribute_2\": [y1, y2, ...]}``` " show_base_64: type: boolean default: true show_original_response: type: boolean default: false description: "Optional : Shows the original response of the provider.
\n When set to **true**, a new attribute *original_response* will appear in the response object." text: type: string minLength: 1 description: Text to analyze required: - providers - text StatusEnum: enum: - sucess - fail type: string NotFoundResponse: type: object properties: details: type: string default: Not Found textemotion_detectionEmotionDetectionDataClass: properties: text: title: Text type: string items: items: $ref: '#/components/schemas/EmotionItem' title: Items type: array original_response: default: null description: original response sent by the provider, hidden by default, show it by passing the `show_original_response` field to `true` in your request title: Original Response status: allOf: - $ref: '#/components/schemas/StatusEnum' title: Status required: - text - status title: textemotion_detectionEmotionDetectionDataClass type: object NestedError: type: object properties: type: type: string message: type: string required: - message - type Error: type: object properties: error: $ref: '#/components/schemas/NestedError' required: - error EmotionItem: description: "This class is used in EmotionAnalysisDataClass to list emotion analysed.\nArgs:\n - emotion (EmotionEnum): emotion of the text\n - emotion_score (float): score of the emotion" properties: emotion: title: Emotion type: string emotion_score: maximum: 100 minimum: 0 title: Emotion Score type: integer required: - emotion - emotion_score title: EmotionItem type: object NestedBadRequest: type: object properties: type: type: string message: $ref: '#/components/schemas/FieldError' required: - message - type BadRequest: type: object properties: error: $ref: '#/components/schemas/NestedBadRequest' required: - error securitySchemes: FeatureApiAuth: type: http scheme: bearer bearerFormat: JWT