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Tech-Discriptor\n[![PyPI version](https://badge.fury.io/py/tech-discriptor.svg)](https://badge.fury.io/py/tech-discriptor)\n[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)\n[![Downloads](https://static.pepy.tech/badge/tech-discriptor)](https://pepy.tech/project/tech-discriptor)\n[![LinkedIn](https://img.shields.io/badge/LinkedIn-blue)](https://www.linkedin.com/in/eugene-evstafev-716669181/)\n\nTransform technical descriptions into structured summaries and feature lists\n\n## Overview\nA new package designed to transform technical descriptions of hardware or software solutions into structured summaries and feature lists.\n\n## Installation\n```bash\npip install tech_discriptor\n```\n## Example Usage\n```python\nfrom tech_discriptor import tech_discriptor\n\nuser_input = \"Romforth—an ultra-portable, small, bare-metal Forth implementation for multiple processors—\"\nresponse = tech_discriptor(user_input)\n\nprint(response)\n```\n## Input Parameters\n* `user_input`: `str` - the user input text to process\n* `llm`: `Optional[BaseChatModel]` - the langchain llm instance to use, if not provided the default ChatLLM7 will be used.\n* `api_key`: `Optional[str]` - the api key for llm7, if not provided the default ChatLLM7 will be used.\n\n## Supported LLMs\nYou can safely pass your own llm instance (based on \u003chttps://docs.langchain.io/docs/guides/get-started-with-a-model\u003e) if you want to use another LLM, via passing it like `tech_discriptor(user_input, llm=their_llm_instance)`.\n\n### Examples\n#### OpenAI\n```python\nfrom langchain_openai import ChatOpenAI\nfrom tech_discriptor import tech_discriptor\n\nllm = ChatOpenAI()\nresponse = tech_discriptor(user_input, llm=llm)\n```\n#### Anthropic\n```python\nfrom langchain_anthropic import ChatAnthropic\nfrom tech_discriptor import tech_discriptor\n\nllm = ChatAnthropic()\nresponse = tech_discriptor(user_input, llm=llm)\n```\n#### Google Generative AI\n```python\nfrom langchain_google_genai import ChatGoogleGenerativeAI\nfrom tech_discriptor import tech_discriptor\n\nllm = ChatGoogleGenerativeAI()\nresponse = tech_discriptor(user_input, llm=llm)\n```\n## API Key for LLM7\nThe default `ChatLLM7` LLM is used if no custom LLM is provided. The free tier rate limits are generally sufficient. For higher rate limits with `ChatLLM7`, you can:\n* Set the `LLM7_API_KEY` environment variable.\n* Pass the API key directly: `tech_discriptor(user_input, api_key=\"your_api_key\")`\nYou can obtain a free API key by registering at [https://token.llm7.io/](https://token.llm7.io/)\n\n## Contributing\nContributions are welcome! Please refer to the GitHub repository for details.\n\n## License\nThis project is licensed under the [MIT License](LICENSE).\n\n## Author\n* Eugene Evstafev (hi@eugene.plus)\n\n## Contact\nFor issues or questions, please visit the GitHub issues page: [https://github.com/chigwell/tech-discriptor/](https://github.com/chigwell/tech-discriptor/)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchigwell%2Ftech-discriptor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchigwell%2Ftech-discriptor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchigwell%2Ftech-discriptor/lists"}