Llama-2-7B-GGML-Powered Blog Generator

Using the advanced Llama 2 7B Chat model by Meta, this project offers a seamless experience for generating high-quality blogs with just a few clicks.

Features

• AI-Powered Blog Generation: Utilize the Llama 2 7B Chat model to generate compelling blog content.
• Customizable Writing Styles: Choose from various writing styles including Fun, General, and Professional.
• Word Count Specification: Define the number of words for each blog post.
• User-Friendly Interface: Interact easily through a Streamlit-based web interface.

Prerequisites

Before you begin, ensure you have met the following requirements:

• Python 3.8 or higher
• Streamlit
• langchain
• langchain_community
• ctransformers

Installation

To set up the project locally, follow these steps:

1. Create a Virtual Environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

2. Install Dependencies:

   pip install -r requirements.txt

3. Download the Llama 2 7B Chat Model: Ensure the model file llama-2-7b-chat.ggmlv3.q8_0.bin is downloaded and placed in the appropriate directory.

Usage

To start the application:

1. Run the Streamlit App:

   streamlit run app.py

2. Access the Web Interface

3. Generate Blog Content:

   • Enter the topic name.
   • Specify the number of words.
   • Select the writing style (Fun, General, Professional).
   • Click on "Generate" to produce the blog post.

Contributing

We welcome contributions! If you would like to contribute, please fork the repository and create a pull request. For significant changes, consider opening an issue to discuss your ideas.

Acknowledgements

• Meta for the Llama 2 model.
• The developers of streamlit, langchain, langchain_community, and ctransformers.