# 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. ```