rossmann-appearance-analyzer

A Python package for analyzing user inputs to avoid negative or unwelcome appearances on a Louis Rossmann video. The package processes text input to identify key factors or common pitfalls and provides structured recommendations to prevent such outcomes.

Installation

You can install the package via pip:

pip install rossmann_appearance_analyzer

Usage

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

from rossmann_appearance_analyzer import rossmann_appearance_analyzer

user_input = "Your text input here..."
results = rossmann_appearance_analyzer(user_input=user_input)
print(results)

Using a Different LLM

By default, the package uses ChatLLM7 from langchain_llm7 (see PyPI). However, you can pass your own LangChain-compatible LLM instance. For example, to use OpenAI:

from langchain_openai import ChatOpenAI
from rossmann_appearance_analyzer import rossmann_appearance_analyzer

llm = ChatOpenAI()
response = rossmann_appearance_analyzer(user_input="Your input", llm=llm)

To use Anthropic:

from langchain_anthropic import ChatAnthropic
from rossmann_appearance_analyzer import rossmann_appearance_analyzer

llm = ChatAnthropic()
response = rossmann_appearance_analyzer(user_input="Your input", llm=llm)

To use Google Generative AI:

from langchain_google_genai import ChatGoogleGenerativeAI
from rossmann_appearance_analyzer import rossmann_appearance_analyzer

llm = ChatGoogleGenerativeAI()
response = rossmann_appearance_analyzer(user_input="Your input", llm=llm)

Providing an API Key

If you want to use the default ChatLLM7 with your own API key (for higher rate limits), you can set it via environment variable or pass it directly:

from rossmann_appearance_analyzer import rossmann_appearance_analyzer

# Via environment variable (set LLM7_API_KEY)
# Or directly:
response = rossmann_appearance_analyzer(user_input="Your input", api_key="your_api_key_here")

You can get a free API key by registering at https://token.llm7.io/.

Parameters

• user_input (str): The text input to process.
• llm (Optional[BaseChatModel]): A LangChain LLM instance. If not provided, defaults to ChatLLM7.
• api_key (Optional[str]): API key for ChatLLM7. If not provided, the package will try to use the LLM7_API_KEY environment variable.

Contributing

If you encounter any issues or have suggestions, please open an issue on GitHub.

Author

• Eugene Evstafev - hi@euegne.plus
• GitHub: chigwell