GCPGenApi

chat

Perform a chat operation using parameters.

GCPGenApi.chat(params: Dict[str, Union[str, int]]) -> object

Parameters

params: A dictionary containing parameters for the chat operation.

Returns

An object representing the chat result.

summarizeText

Summarize the given text.

GCPGenApi.summarizeText(text: str) -> 'Result'

Parameters

text: The text to be summarized.

Returns

A 'Result' object representing the summarized text.

classifyText

Classify the given text based on input classes.

GCPGenApi.classifyText(inputClasses: List[str], text: str) -> 'Result'

Parameters

inputClasses: List of classes for classification.
text: The text to be classified.

Returns

A 'Result' object representing the classification result.

ams

Perform AMS (Answer Matching System) operation on the given text.

GCPGenApi.ams(text: str) -> 'Result'

Parameters

text: The text for AMS operation.

Returns

A 'Result' object representing the AMS result.

generateEmbedding

Generate embedding for the given text.

GCPGenApi.generateEmbedding(text: str) -> 'Result'

Parameters

text: The text for which embedding needs to be generated.

Returns

A 'Result' object representing the embedding.

generateImageInBucket

Generate image in a GCS bucket based on the prompt.

GCPGenApi.generateImageInBucket(prompt: str, imageCount: int, outputGcsUriFolder: str) -> 'Result'

Parameters

prompt: The prompt for image generation.
imageCount: The number of images to generate.
outputGcsUriFolder: The output folder URI in GCS.

Returns

A 'Result' object representing the image generation result.

generateImageAsByte

Generate image as bytes based on the prompt.

GCPGenApi.generateImageAsByte(prompt: str, imageCount: int) -> 'Result'

Parameters

prompt: The prompt for image generation.
imageCount: The number of images to generate.

Returns

A 'Result' object representing the image generation result.

generateCode

Generate code based on the prompt.

GCPGenApi.generateCode(prompt: str) -> 'Result'

Parameters

prompt: The prompt for code generation.

Returns

A 'Result' object representing the code generation result.

text

Generate text based on the prompt.

GCPGenApi.text(prompt: str) -> 'Result'

Parameters

prompt: The prompt for text generation.

Returns

A 'Result' object representing the text generation result.

extractEntitiesFromTextList

Extract entities from a list of texts based on the prompt.

GCPGenApi.extractEntitiesFromTextList(prompt: str, texts: List[str]) -> 'Result'

Parameters

prompt: The prompt for entity extraction.
texts: List of texts from which entities need to be extracted.

Returns

A 'Result' object representing the entity extraction result.

extractEntitiesFromText

Extract entities from a single text based on the prompt.

GCPGenApi.extractEntitiesFromText(prompt: str, text: str) -> 'Result'

Parameters

prompt: The prompt for entity extraction.
text: The text from which entities need to be extracted.

Returns

A 'Result' object representing the entity extraction result.

vertexAiGetAnswer

Get an answer from Vertex AI based on the question and datastore ID.

GCPGenApi.vertexAiGetAnswer(question: str, datastoreId: str) -> 'Object'

Parameters

question: The question for which an answer is needed.
datastoreId: The ID of the datastore.

Returns

An object representing the answer from Vertex AI.