This project is a Streamlit web application that generates blog content based on user input. It utilizes a local model called LLama 2 to generate responses for different job profiles within a specified word limit.
- Clone the repository.
- Install the required dependencies by running
pip install -r requirements.txt
. - Download the LLama 2 model and place it in the
models
directory.
- Run the app using
streamlit run app.py
command. - Enter the blog topic, select the job profile, and specify the word limit.
- Click on the "Generate" button to generate the blog content.
The application uses a local model located in the models
directory to generate responses. Specify the model path in Ctransformers params.