Upload - Private

Upload documents or specify a ticker for data retrieval and Q&A. This method supports various tasks, such as uploading documents or querying the government's EDGAR database.

Parameters:

Name	Type	Description	Default
`task_type`	`str`	Specifies the type of task to perform. This can be document-based interaction (e.g., 'documents') or financial data analysis ('edgar').	required
`model_type`	`str`	Determines the AI model to use for processing the request. Different model types available are 'llama' for LLaMa2 and 'mistral' for Mistral.	required
`ticker`	`str`	The ticker symbol for financial data analysis tasks. Required if the task_type is 'edgar'. Example: 'AAPL' for Apple Inc.	`None`
`file_paths`	`list[str]`	A list of file paths to documents for document-based tasks. Required if task_type is 'documents'. Example: ['path/to/file1.pdf', 'path/to/file2.pdf'].	`None`

Returns:

Name	Type	Description
`response`	`dict`	A JSON response from the API, including the `chat_id` for interactions based on the uploaded content or specified ticker.

Sample usage for uploading documents:

from anoteai import Anote

api_key = 'INSERT_API_KEY_HERE'
Anote = Anote(api_key, isPrivate=True)

file_paths = ['doc1.pdf', 'doc2.pdf']

response = Anote.upload(task_type="documents", model_type="llama", file_paths=file_paths)

Response is given as a JSON in this format:

{
  "id": 5
}

Sample usage for using Edgar:

from anoteai import Anote

api_key = 'INSERT_API_KEY_HERE'
Anote = Anote(api_key, isPrivate=True)

response = Anote.upload(task_type="edgar", model_type="llama", ticker="aapl")

Response is given as a JSON in this format:

{
  "id": 5
}