sayanmondal2098 / chatter

Generative Model for Blog and Text Generation

This repository contains a generative model that can be used to generate blog posts and text. The model used in this project is the Llama-GGML model, which is a powerful language model for generating high-quality text.

Model Details

• Model Type: Llama-GGML
• Model URL: https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/tree/main

Getting Started

To get started with this generative model, follow these steps:

1. Clone this repository to your local machine.
2. Install the required dependencies.
3. Load the Llama-GGML model using the provided model URL.
4. Use the model to generate blog posts and text.

Example Usage

Generate Text

To generate a small chunk of text using the Llama-GGML model, you can use the chat.ipynb notebook in the repository. This notebook provides an interactive interface where you can input a prompt and the model will generate a response.

Generate Blog

To generate a blog using the Llama-GGML model with a Streamlit interface, you can use the blog.py script in the repository. This script provides a user-friendly interface where you can input the desired title and content length, and the model will generate a blog post accordingly.

TO run this

streamlit run blog.py

Make sure you have the Llama-GGML model downloaded and loaded before running the chat.ipynb notebook or the blog.py script. You can download the model from the provided model URL in the Model Details section of the readme.

Happy generating!

Folder Structure

Here is the current folder structure of the project:

• /chatter
  • models
    • downloaded model bin files
  • venv
    • Enviroment Specefic Files
  • readme.md
  • chat.ipynb
  • blog.py
  • .gitignore
  • requirement.txt