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biligcrawl
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WikipediaTR

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Title

This product is for ...

Github Action Test

Prerequisites

  • Python 3.10
  • Nvidia T4 GPU or higher
  • Microsoft SQL
  • Llama 2
  • Whisper

Architecture

Architecture

Features

  • ................
  • ................
  • ................

Demo

Video Video GIF

Reports

Report

Installation

for Linux/Ubuntu

  • Do the following operations in order.

1. Install Nvidia Drivers

  • System Update & Upgrade
sudo apt update

sudo apt upgrade
  • Install Nvidia Drivers
sudo apt install ubuntu-drivers-common 

ubuntu-drivers devices

sudo ubuntu-drivers autoinstall
  • System Reboot
sudo reboot
  • Check Nvidia Driver and Note CUDA Version
nvidia-smi
  • Note: Yukarıdaki adımda hem Nvidia Driver'ın yüklenip yüklenmediğini kontrol edin. Hem de yüklemeniz gereken CUDA versiyonunu öğreninin.

2. Install CUDA 12.2 for Ubuntu 22.04 

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin

sudo mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600

wget https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda-repo-ubuntu2204-12-2-local_12.2.0-535.54.03-1_amd64.deb

sudo dpkg -i cuda-repo-ubuntu2204-12-2-local_12.2.0-535.54.03-1_amd64.deb

sudo cp /var/cuda-repo-ubuntu2204-12-2-local/cuda-*-keyring.gpg /usr/share/keyrings/

sudo apt-get update

sudo apt-get -y install cuda

sudo find / -name nvcc

echo 'export PATH=/usr/local/cuda-12.3/bin:$PATH' >> ~/.bashrc

source ~/.bashrc

nvcc --version

3. Python 3.10.0 Installation 

sudo apt install build-essential zlib1g-dev libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libreadline-dev libffi-dev libsqlite3-dev wget

sudo apt-get install libbz2-dev

sudo apt-get install libgdbm-compat-dev

sudo apt-get install liblzma-dev

sudo apt-get install tk-dev

sudo apt-get install uuid-dev

sudo apt-get install zlib1g-dev

wget https://www.python.org/ftp/python/3.10.0/Python-3.10.0.tar.xz

tar -xf Python-3.10.0.tar.xz

cd Python-3.10.0

./configure --enable-optimizations --prefix=/usr/local

make -j $(nproc)

sudo make altinstall
4. Get Repository
  • Clone Repository
git clone https://github.com/organization_name/repo_name
  • Navigate to the project directory:
cd Repository_Directory
  • Create Virtual Environment named .venv
python3.10 -m venv .venv
  • Activate virtual environment
source .venv/bin/activate

5. Install Pytorch 

pip install torch --index-url https://download.pytorch.org/whl/cu122
  • Note: Lütfen farklı CUDA verdiyonu kullanıyorsanız Pytorch versiyonunuzu değiştirin.

6. Download Llama and Install

  • Visit the https://ai.meta.com/llama/ and get download link for Llama 2
git clone https://github.com/facebookresearch/llama.git

cd llama

pip install -e .

chmod +x download.sh

./download.sh
  • Note: If you get the error "The file is already fully retrieved; nothing to do.", delete the --continue commands in the download.sh file and try again. Related issue link: https://github.com/facebookresearch/llama/issues/760

7. Install Requirements for Audio Process 

sudo apt-get install unixodbc-dev

pip install Cython

pip install -r requirements/requirements_audio.txt

8. Install Requirements for Architecture 

pip install -r requirements/requirements_arctitecture.txt

9. Install ODBC Driver 18 

curl https://packages.microsoft.com/keys/microsoft.asc | sudo tee /etc/apt/trusted.gpg.d/microsoft.asc

curl https://packages.microsoft.com/config/ubuntu/$(lsb_release -rs)/prod.list | sudo tee /etc/apt/sources.list.d/mssql-release.list

sudo apt-get update

sudo ACCEPT_EULA=Y apt-get install -y msodbcsql18

10. Install FFmpeg 

sudo apt install ffmpeg

11. Install Linux Services 

sudo cp /home/azureuser/directory/services/audio.service /etc/systemd/system/

sudo cp /home/azureuser/directory/services/text.service /etc/systemd/system/

sudo systemctl daemon-reload

sudo systemctl enable audio.service

sudo systemctl enable text.service

sudo systemctl start audio.service

sudo systemctl start text.service

sudo systemctl status audio.service

sudo systemctl status text.service

File Structure 

.
├── README.md
├── TODO.md
├── app.py
├── examples
│         ├── example_1.wav
│         ├── example_2.wav
├── flagged
├── gradio_app.py
├── outputs
│         ├── example_1.json
├── requirements.txt
└── test.py

Version Control System

Releases

Branches

Related Repos

Upcoming

  • ....

Documentations

Turkish Readme

TO DO list

Contributing Guidence

License

Links

Team

Contact

Resources

Citation

  • Reference to cite if you use this work in a paper or research project:
@software{software_2024,
author = {Ergen},
doi = {00.0000/zenodo.0000},
month = {01},
title = {{software_2024}},
url = {https://github.com/repo_name},
year = {2024}
}
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