noun-verb is a package that reframes self-concept from fixed labels (nouns) to dynamic actions (verbs).
Project description
noun-verb
A Python package that helps users reframe their self-perception from static identity labels (nouns) to dynamic actions and processes (verbs). It uses structured LLM interactions to process user-provided text reflections and returns a transformed perspective that emphasizes growth, change, and agency.
Installation
pip install noun_verb
Usage
Import and use the noun_verb function to process user input:
from noun_verb import noun_verb
user_input = "I am a shy person."
result = noun_verb(user_input)
print(result)
Parameters
user_input(str): The user input text to process.llm(Optional[BaseChatModel]): A LangChain LLM instance. If not provided, the defaultChatLLM7is used.api_key(Optional[str]): API key for LLM7. If not provided, the environment variableLLM7_API_KEYis used.
Using a Custom LLM
You can use any LangChain-compatible LLM by passing it to the llm parameter:
OpenAI Example
from langchain_openai import ChatOpenAI
from noun_verb import noun_verb
llm = ChatOpenAI()
response = noun_verb(user_input, llm=llm)
Anthropic Example
from langchain_anthropic import ChatAnthropic
from noun_verb import noun_verb
llm = ChatAnthropic()
response = noun_verb(user_input, llm=llm)
Google Generative AI Example
from langchain_google_genai import ChatGoogleGenerativeAI
from noun_verb import noun_verb
llm = ChatGoogleGenerativeAI()
response = noun_verb(user_input, llm=llm)
Using a Custom API Key for LLM7
To use your own LLM7 API key:
from noun_verb import noun_verb
response = noun_verb(user_input, api_key="your_api_key_here")
Or set the environment variable:
export LLM7_API_KEY="your_api_key_here"
You can get a free API key by registering at https://token.llm7.io/.
Default LLM
By default, the package uses ChatLLM7 from the langchain_llm7 package (available at PyPI). The free tier rate limits are sufficient for most use cases.
Contributing
If you encounter any issues or have suggestions, please open an issue on GitHub.
Author
Eugene Evstafev
Email: hi@euegne.plus
GitHub: chigwell
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file noun_verb-2025.12.21234620.tar.gz.
File metadata
- Download URL: noun_verb-2025.12.21234620.tar.gz
- Upload date:
- Size: 4.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
378c64961606d80a0e43c7add831e80c5a3a4b255ee1a32b926687003057ef49
|
|
| MD5 |
50a8adb4223103f3706b1eed683e2a18
|
|
| BLAKE2b-256 |
0eb67b61d085857ff918fbf9184c7228cd603f9eafdcbc999b2e469b437b86d7
|
File details
Details for the file noun_verb-2025.12.21234620-py3-none-any.whl.
File metadata
- Download URL: noun_verb-2025.12.21234620-py3-none-any.whl
- Upload date:
- Size: 5.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
037f1e8afe17813b5c6d3790827162ff169de820c4eec9d3e26170731c7d374c
|
|
| MD5 |
c93cecacd1fdd665aae5b3ec712812e4
|
|
| BLAKE2b-256 |
37427a175c0999197bb459a402c6b0deb4aac6226ed7d7bd7ef67910abaf1fbc
|