AnnounceExtractor
AnnounceExtractor is a Python package designed to extract key details from short announcements or descriptions. It focuses on understanding the core offering and any associated benefits presented in plain text, without needing to access external links or files. The goal is to quickly identify what is being offered and its main advantages.
Installation
pip install announceexctractor
Usage
Basic Usage
from announceexctractor import announceexctractor
user_input = "Check out our new tool! It's free, no signup required, and has no watermarks."
response = announceexctractor(user_input)
print(response)
Using a Custom LLM
By default, AnnounceExtractor uses the ChatLLM7 from langchain_llm7. However, you can safely pass your own LLM instance if you want to use another LLM.
Using OpenAI
from langchain_openai import ChatOpenAI
from announceexctractor import announceexctractor
llm = ChatOpenAI()
response = announceexctractor(user_input, llm=llm)
print(response)
Using Anthropic
from langchain_anthropic import ChatAnthropic
from announceexctractor import announceexctractor
llm = ChatAnthropic()
response = announceexctractor(user_input, llm=llm)
print(response)
Using Google
from langchain_google_genai import ChatGoogleGenerativeAI
from announceexctractor import announceexctractor
llm = ChatGoogleGenerativeAI()
response = announceexctractor(user_input, llm=llm)
print(response)
Using a Custom API Key
If you want to use a custom API key for LLM7, you can pass it directly or via an environment variable.
from announceexctractor import announceexctractor
# Using environment variable
import os
os.environ["LLM7_API_KEY"] = "your_api_key"
response = announceexctractor(user_input)
print(response)
# Passing API key directly
response = announceexctractor(user_input, api_key="your_api_key")
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.
Rate Limits
The default rate limits for LLM7 free tier are sufficient for most use cases of this package. If you need higher rate limits, 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 - chigwell
- Email: hi@eugene.plus
Metadata
Release files for announceexctractor 2025.12.21121449
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| announceexctractor-2025.12.21121449.tar.gz | 4.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| announceexctractor-2025.12.21121449-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.9 kB
Release files / announceexctractor-2025.12.21121449.tar.gz
| Download URL | announceexctractor-2025.12.21121449.tar.gz |
|---|---|
| Size | 4.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.11
|
Release files / announceexctractor-2025.12.21121449-py3-none-any.whl
| Download URL | announceexctractor-2025.12.21121449-py3-none-any.whl |
|---|---|
| Size | 4.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.11
|