papergpt's Introduction

Paper Explainer

Simply specify of the paper your want to understand and obtain a short summary (TL;DR) of it in seconds.

Installation

# -----------------------------------------------------------------------------
# Setting up the environment

# Create the PaperGPT environment
conda env create -f environment.yml

# (Optiona) Run the following to check if PaperGPT got successfully created
conda env list

# Activate the environment
conda activate PaperGPT


# -----------------------------------------------------------------------------
conda install -c huggingface transformers

pip install PyPDF2
conda install -c conda-forge pypdf2

pip install openai
conda install -c conda-forge openai -y

Action Points

Ease of use: ensure that library is easy to install. Clear documentation and examples.
Automatic processing: automatically extract text and relevant content from papers, eliminate need for users to manually input or format the content
Compatibility: should be able to handle various document formats (PDF, PNG, JPG), and possibly even accept URLs to academic papers hosted online
Multi-language support
Use cases: Provide real-world use cases and scenarios where the library can be valuable, such as research paper review, studying, or staying updated on the latest research.
Model Options: Provide option for the user to decide between different LLM models such as LLaMa, GPT, Bert
- BART (Facebook AI) --
- BERT (Google AI) -- bert-base-uncased
- GPT-2 (OpenAI)

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