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This is the project for arxiv pdf summarization
Streamlit GFPGAN is a web-based application built using the Streamlit framework, designed to generate text summaries from articles or documents. It leverages advanced AI models to deliver concise and accurate summaries, making it a valuable tool for quickly understanding long pieces of text.
pip install streamlit-gfpgan
in your terminal.streamlit run streamlit_gfpgan.py
.What file formats does Streamlit GFPGAN support?
Streamlit GFPGAN supports .txt, .pdf, and .docx files. You can also input text directly into the app.
Can I customize the summary length?
Yes, you can adjust the summary length by specifying the number of sentences or words in the output settings.
Is Streamlit GFPGAN available for both Windows and macOS?
Yes, Streamlit GFPGAN is cross-platform and can be used on Windows, macOS, and Linux systems.