During research fellowship, Everyone learn how to read papers rapidly and efficiently. But just reading a paper with a minimum of 30 pages is time-consuming and it’s hard to stay on top of research with this explosion of papers released every day. To boost research productivity, wouldn’t it be better to summarize the information from academic papers? These is the following use cases that can be helpful for your career in the data science field.
Clone the repository
https://github.com/dipak8080/ai_researchpaper_summarization.gitconda create -n summarizer python=3.8 -yconda activate summarizerpip install -r requirements.txtOPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxx# Finally run the following command
streamlit run app.pyNow,
open up : http://localhost:8501- Python
- LangChain
- Streamlit
- OpenAI
summarize this paper in short
what is the main objective of this paper
summarize the paper in 3 bullet points