" Aims to automate the creation of multiple-choice questions (MCQs) from textual content or PDF documents. Leveraging Langchain's Language Model (LLM), the project utilizes advanced natural language processing techniques to analyze provided text or documents, extract key information, and generate sets of MCQs. This process streamlines the creation of assessment materials, aiding educators, content creators, or organizations in rapidly generating quiz-style questions from textual resources. "
video_2024-01-30_13-50-50.mp4
Following are some important commands you can use on the local machine and AWS EC2:-
----------- Local Machine -------------------------
conda create -p env python=3.8 -y
source activate ./env
clear
git status
ls -a
pip install ipykernel
git add .
git commit -m 'all files added'
git push
pip install -r requirements.txt
python setup.py install
streamlit run StreamlitApp.py
--------------------- AWS EC2 -------------------------------
sudo apt update
sudo apt upgrade -y
sudo apt install git curl unzip tar make sudo vim wget -y
git clone "repo"
ls
cd select folder
sudo apt install python3-pip
pip3 install -r requirements.txt
python3 -m streamlit run StreamlitApp.py
---------------
create .env file = touch .env # creating folder as .env = ls -a # add files = vi .env # opening file = :wq # for exit() = cat .env # reading
and insert copy openai_key & esc key & :wq --> hit enter