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### This repository contains code for generating blog content using the LLama 2 language model. It integrates with Streamlit for easy user interaction. Simply input your blog topic, desired word count, and writing style to generate engaging blog content.
### This GitHub code demonstrates the use of the LLama 2 model for generating blog content using Streamlit. It imports the CTransformers module from langchain.llms and langchain_community.llms for language model integration. The get_response function prompts the user to input a blog topic, number of words, and style, then generates a response using the LLama 2 model. Streamlit is used to create a user-friendly interface for input and output.
### The LLama 2 model is specified with its model file and type, along with configuration parameters such as max_new_tokens and temperature for text generation.
