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whatsapp-linkcraft generates validated WhatsApp chat links from phone numbers using an LLM, handling formatting and errors automatically for clickable URLs.

Project description

WhatsApp LinkCraft

PyPI version License: MIT Downloads LinkedIn

WhatsApp LinkCraft is a Python package designed to generate structured and validated WhatsApp chat links from user-provided phone numbers. It leverages language models to ensure correct formatting and automatically handle common input variations and errors, providing a clickable WhatsApp URL ready for use.

Installation

Install the package via pip:

pip install whatsapp_linkcraft

Usage

Here's a basic example of how to use the package:

from whatsapp_linkcraft import whatsapp_linkcraft

# Example user input
user_input = "+1 234 567 8901"

# Generate WhatsApp link (uses default LLM)
links = whatsapp_linkcraft(user_input)
print(links)

You can also pass your own LLM instance if desired. The default uses ChatLLM7 from langchain_llm7, which is compatible with various LLM providers.

Custom LLM Usage

The package enables you to specify your preferred language model. For example:

Using OpenAI's GPT

from langchain_openai import ChatOpenAI
from whatsapp_linkcraft import whatsapp_linkcraft

llm = ChatOpenAI()
response = whatsapp_linkcraft(user_input, llm=llm)

Using Anthropic

from langchain_anthropic import ChatAnthropic
from whatsapp_linkcraft import whatsapp_linkcraft

llm = ChatAnthropic()
response = whatsapp_linkcraft(user_input, llm=llm)

Using Google Generative AI

from langchain_google_genai import ChatGoogleGenerativeAI
from whatsapp_linkcraft import whatsapp_linkcraft

llm = ChatGoogleGenerativeAI()
response = whatsapp_linkcraft(user_input, llm=llm)

Parameters

  • user_input (str): The text input from the user containing the phone number to process.
  • llm (Optional[BaseChatModel]): An instance of a language model. Defaults to ChatLLM7.
  • api_key (Optional[str]): API key for LLM7. If not provided, the package attempts to fetch from environment variable LLM7_API_KEY. To use a custom key, pass it directly or set the environment variable.

Notes

  • Relies on ChatLLM7 from langchain_llm7 by default. You may replace it with other language model instances from LangChain.
  • Default rate limits of LLM7 free tier are generally sufficient; for higher limits, provide your own API key.

License

This project is maintained by Eugene Evstafev.

Email: hi@eugene.plus

GitHub: chigwell

Issues

For issues or suggestions, visit: GitHub Issues

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