This project explores the use of LLAMA, a powerful language model, to generate high-quality blog posts on a variety of topics. The goal is to create an automated system that can write blog content in a natural, human-like style, tailored to specific subjects or keywords. By leveraging LLAMA's advanced natural language processing capabilities, the system can produce coherent, engaging, and informative blog posts with minimal input.

Make sure your system has CUDA, conda and git installed.

git clone https://github.com/MahmoudHesham/Blog-Generation-Using-LLAMA cd Blog-Generation-Using-LLAMA # create environment using conda conda create -n llm_blog python=3.9 conda activate llm_blog

• You can download LLAMA model (e.g. llama-2-7b-chat.ggmlv3.q8_0.bin) either from LLAMA or Hugging Face.
• Place model in the following path: Blog-Generation-Using-LLAMA/models

• Open the command line and launch streamlit server by using the command streamlit run app.py.
• This will open your web browser with the user interface where you can create blog posts.

• All the tutorials, scripts, tools and software-bridges developed by VFX Kitchen. are free for academic and non-commercial use only.