## researchpal: A Python Library for Automated Literature Review Generation
## What is it?
researchpal is a Python library that automates the process of generating academic literature reviews based on a research question. It utilizes external data sources to fetch research papers, synthesizes the findings, and generates a concise literature review. This library is particularly useful for researchers and students looking to streamline the literature review process.
## Features:
* Fetches research papers from Springer and Arxiv.
* Synthesizes research findings into a coherent literature review.
* Extracts citations and generates a references list.
* Supports both short(cite around 5 research papers) and long(cite around 10 research papers) literature reviews.
## Prerequisites:
Before using researchpal, ensure you have the following prerequisites:
* Python 3.8 installed on your system.
* An API key for OpenAI (required for certain functionalities).
## Installation:
To install researchpal, you can use pip:
> pip install researchpal
## Usage:
Here's a basic example of how to use researchpal in your Python script:
> from researchpal import generate_literature_review\
\
> research_question = *"your_query"* \
> openai_key = *"your_openai_api_key"* \
> length (by default) = *"short"* # can be "short" or "long"\
\
> literature_review.generate_literature_review(research_question, openai_key, length)
## Options:
* research_question: Your research question.
* openai_key: Your OpenAI API key.
* length: The length of the literature review ("short" or "long," default is "short").
## License:
This project is licensed under the MIT License.
## Support and Feedback:
For support or feedback, please contact us at info@researchpal.co
## Acknowledgments:
This library makes use of research papers from Springer and Arxiv, and it requires an OpenAI API key for certain functionality.
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"description": "\n## researchpal: A Python Library for Automated Literature Review Generation\n\n## What is it?\nresearchpal is a Python library that automates the process of generating academic literature reviews based on a research question. It utilizes external data sources to fetch research papers, synthesizes the findings, and generates a concise literature review. This library is particularly useful for researchers and students looking to streamline the literature review process.\n\n## Features:\n* Fetches research papers from Springer and Arxiv.\n* Synthesizes research findings into a coherent literature review.\n* Extracts citations and generates a references list.\n* Supports both short(cite around 5 research papers) and long(cite around 10 research papers) literature reviews.\n\n## Prerequisites:\nBefore using researchpal, ensure you have the following prerequisites:\n\n* Python 3.8 installed on your system.\n* An API key for OpenAI (required for certain functionalities).\n\n## Installation:\nTo install researchpal, you can use pip: \n\n> pip install researchpal\n\n## Usage:\nHere's a basic example of how to use researchpal in your Python script:\n\n> from researchpal import generate_literature_review\\\n\\\n> research_question = *\"your_query\"* \\\n> openai_key = *\"your_openai_api_key\"* \\\n> length (by default) = *\"short\"* # can be \"short\" or \"long\"\\\n\\\n> literature_review.generate_literature_review(research_question, openai_key, length)\n\n## Options:\n* research_question: Your research question.\n* openai_key: Your OpenAI API key.\n* length: The length of the literature review (\"short\" or \"long,\" default is \"short\").\n\n## License:\nThis project is licensed under the MIT License.\n\n## Support and Feedback:\nFor support or feedback, please contact us at info@researchpal.co\n\n## Acknowledgments:\nThis library makes use of research papers from Springer and Arxiv, and it requires an OpenAI API key for certain functionality.\n\n",
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