Enter your input text that you want to analyze.

Enter the url of the image that you want to analyze.

You can use "File" value from your trigger.

Enter the project id of your automl project

Enter the url of the file that you want to analyze.

You can use "File" value from your trigger.

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'...}.

A system message that helps set the behavior of the assistant. For example, 'You are a helpful assistant'.

Higher values mean the model will take more risks and value 0 (argmax sampling) works better for scenarios with a well-defined answer.

The maximum number of tokens to generate in the completion. The token count of your prompt plus max_tokens cannot exceed the model's context length.

List of entities to extract from your text. Requires at least two entities. eg : ['job', 'country'].

List of examples eg : [{'text': 'an input text', 'entities' : [{'entity':'entity_1', 'category':'category_1'}, ...]}, ...]

Enter the url of your files.

You can use "File" value from your trigger.

If your PDF file has a password, you can pass it here!

Enter your document type here. These types are allowed : auto-detect, invoice, receipt

Choose the language of your documents. You can see the list of languages [here](https://docs.edenai.co/reference/ocr_identity_parser_create)

Enter the url of your files. The type of files allowed are : pdf, jpg, jpeg, png.

You can use "File" value from your trigger.

Choose providers that you want to call. You can see the list of providers [here](https://docs.edenai.co/reference/image_generation_create)

Enter a detailed description to generate an image.

Choose the resolution of your generated images. You can see the list of resolutions [here](https://docs.edenai.co/reference/image_generation_create)

Choose providers that you want to call. You can see the list of providers [here](https://docs.edenai.co/reference/ocr_invoice_parser_create)

You can choose multiple providers separated by commas (e.g.: amazon,google,microsoft).

Choose the language of your invoices. You can see the list of languages [here](https://docs.edenai.co/reference/ocr_invoice_parser_create)

Choose language of your input text. You can see the list of languages [here](https://docs.edenai.co/reference/text_keyword_extraction_create)

Choose providers that you want to call. You can see the list of providers [here](https://docs.edenai.co/reference/translation_language_detection_create)

Choose providers that you want to call. You can see the list of providers [here](https://docs.edenai.co/reference/text_named_entity_recognition_create)

Choose language of your input text. You can see the list of languages [here](https://docs.edenai.co/reference/text_named_entity_recognition_create)

Choose providers that you want to call. You can see the list of providers [here](https://docs.edenai.co/reference/ocr_ocr_create)

Enter the public_id you get from the Transcript Audio File into Text" event.

Choose providers that you want to call. You can see the list of providers [here](https://docs.edenai.co/reference/ocr_ocr_async_create)

Webhook receiver should be a valid https URL (ex : https ://your.listner.com/endpoint). After the processing is done, the webhook endpoint will receive a POST request with the result.

Choose providers that you want to call. You can see the list of providers [here](https://docs.edenai.co/reference/ocr_resume_parser_create)

You can choose multiple providers separated by commas (e.g.: amazon,google,microsoft).

Enter the public_id you get from the "Transcript Audio File into Text" event.

Choose providers that you want to call. You can see the list of providers [here](https://docs.edenai.co/reference/audio_speech_to_text_async_create)

You can choose multiple providers separated by commas (e.g.: amazon,google,microsoft).

Choose the language of your audios. You can see the list of languages [here](https://docs.edenai.co/reference/audio_speech_to_text_async_create)

Webhook receiver should be a valid https URL (ex : "https: //your.listner.com/endpoint"). After the processing is done, the webhook endpoint will receive a POST request with the result.

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'...}.

Language code for the language the input text is written.

Choose providers that you want to call. You can see the list of providers [here](https://docs.edenai.co/reference/text_anonymization_create)

Choose language of your input text. You can see the list of languages [here](https://docs.edenai.co/reference/text_anonymization_create)

Choose providers that you want to call. You can see the list of providers [here](https://docs.edenai.co/reference/text_generation_create)

Choose providers that you want to call. You can see the list of providers [here](https://docs.edenai.co/reference/text_moderation_create)

Choose language of your input text. You can see the list of languages [here](https://docs.edenai.co/reference/text_moderation_create)

Choose providers that you want to call. You can see the list of providers [here](https://docs.edenai.co/reference/text_summarize_create)

Choose language of your input text. You can see the list of languages [here](https://docs.edenai.co/reference/text_summarize_create)

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'...}.

Choose providers that you want to call. You can see the list of providers [here](https://docs.edenai.co/reference/audio_text_to_speech_create)

Choose language of your input text. You can see the list of languages [here](https://docs.edenai.co/reference/audio_text_to_speech_create)

Choose providers that you want to call. You can see the list of providers [here](https://docs.edenai.co/reference/text_topic_extraction_create)

Choose language of your input text. You can see the list of languages [here](https://docs.edenai.co/reference/text_topic_extraction_create)

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