aiaas-falcon 0.1.0

This python package help to interact with Generative AI - Large Language Models. It interacts with AIaaS LLM , AIaaS embedding , AIaaS Audio set of APIs to cater the request.

AIaaS Falcon

Description

A Python client to interact with a specific API, allowing operations such as listing models, creating embeddings, and generating text based on certain configurations.

Installation

Ensure you have the requests and google-api-core libraries installed:

pip install requests
pip install google-api-core

Usage

1. Initialization:

   from falcon_client import Falcon  # Assuming the class is saved in a file named falcon_client.py
   
   falcon_client = Falcon(api_key="<Your_API_Key>", host_name_port="<Your_Host_Name_Port>")
   

2. Listing Models:

   models = falcon_client.list_models()
   print(models)
   

3. Creating an Embedding:

   response = falcon_client.create_embedding(file_path="<Your_File_Path>")
   print(response)
   

4. Generating Text:

   response = falcon_client.generate_text(chat_history=[], query="<Your_Query>")
   print(response)
   

Methods

• list_models(self) - Retrieves available models.
• create_embedding(self, file_path) - Creates embeddings from a provided file.
• generate_text(self, chat_history=[], query="", use_default=1, conversation_config={}, config={}) - Generates text based on provided parameters.

Conclusion

The Falcon API Client simplifies interactions with the specified API, providing a straightforward way to perform various operations such as listing models, creating embeddings, and generating text.