A new package that lets users input a short statement about AI’s societal impact and instantly receives a clear, structured summary of the core idea. By focusing on extracting the essence of the claim
Project description
AI Claim Essence
A Python package that extracts and summarizes the core idea from a user's input about AI's societal impact.
Installation
pip install ai_claim_essence
Usage
from ai_claim_essence import ai_claim_essence
response = ai_claim_essence("AI is revolutionary, but not egalitarian")
print(response)
Parameters
user_input(str): The user input text to process.llm(Optional[BaseChatModel]): The LangChain LLM instance to use. If not provided, the defaultChatLLM7will be used.api_key(Optional[str]): The API key for LLM7. If not provided, the environment variableLLM7_API_KEYwill be used.
Using Different LLMs
By default, this package uses ChatLLM7 from langchain_llm7. You can safely pass your own LLM instance if you want to use another LLM.
Example with OpenAI
from langchain_openai import ChatOpenAI
from ai_claim_essence import ai_claim_essence
llm = ChatOpenAI()
response = ai_claim_essence("AI is revolutionary, but not egalitarian", llm=llm)
print(response)
Example with Anthropic
from langchain_anthropic import ChatAnthropic
from ai_claim_essence import ai_claim_essence
llm = ChatAnthropic()
response = ai_claim_essence("AI is revolutionary, but not egalitarian", llm=llm)
print(response)
Example with Google
from langchain_google_genai import ChatGoogleGenerativeAI
from ai_claim_essence import ai_claim_essence
llm = ChatGoogleGenerativeAI()
response = ai_claim_essence("AI is revolutionary, but not egalitarian", llm=llm)
print(response)
Rate Limits
The default rate limits for LLM7 free tier are sufficient for most use cases of this package. If you want higher rate limits for LLM7, you can pass your own API key via the environment variable LLM7_API_KEY or directly via the api_key parameter.
from ai_claim_essence import ai_claim_essence
response = ai_claim_essence("AI is revolutionary, but not egalitarian", api_key="your_api_key")
print(response)
You can get a free API key by registering at LLM7.
Issues
If you encounter any issues, please report them on the GitHub issues page.
Author
Eugene Evstafev
- Email: hi@eugene.plus
- GitHub: chigwell
- LinkedIn: Eugene Evstafev
License
This project is licensed under the MIT License - see the LICENSE file for details.
Project details
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