This is the project for Berkeley CS294/194-196 Large Language Model Agents | CS 194/294-196 Large Language Model Agents
Team Member: Rachel Lin (3035629830) Mutian Hong (3040824725) Chuyan Zhou (3040814117) Jan Chen (3040762169) Lucy Struefing (3040858941)
tested on Ubuntu 22.02.
follow the following procedure to build up.
The complete architechure is built under mutian-develop-v8
branch. The rag function in the main branch does not works well. So if you want the same architechure in the report, please switch to branch mutian-develop-v8
.
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
chmod +x Miniconda3-latest-Linux-x86_64.sh
./Miniconda3-latest-Linux-x86_64.sh
source ~/.bashrc
sudo apt-get update
sudo apt-get install -y \
apt-transport-https \
ca-certificates \
curl \
gnupg \
lsb-release
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg
echo \
"deb [arch=amd64 signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/ubuntu \
$(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt-get update
sudo apt-get install -y docker-ce docker-ce-cli containerd.io
sudo usermod -aG docker $USER
sudo curl -L "https://github.com/docker/compose/releases/download/v2.20.0/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose
newgrp docker
sudo apt-get install -y \
libgl1 \
libgl1-mesa-glx \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender-dev \
libglib2.0-0 \
libgtk2.0-dev \
pkg-config
use tab to select ok
conda create -n pdf2lec python=3.10
conda activate pdf2lec
pip install -r requirements.txt
sudo apt install ffmpeg
cd pdf2lec_llm/backend
mkdir -p data metadata
bash run.sh
cd ~/
cd pdf2lec_llm/frontend
sudo apt update
curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -
sudo apt-get install -y nodejs
npm install
npm run dev