This is a Streamlit application that generates blog posts using a local instance of the LLaMA 2 language model. The application allows users to input a blog topic, specify the desired word count, and select the writing style (Researchers, Data Scientists, or Common People). The LLaMA 2 model then generates a blog post based on the provided input.
- User-friendly interface: Streamlit is used to create an intuitive and interactive web interface.
- Local LLM integration: The application utilizes a locally hosted instance of the LLaMA 2 language model for generating blog posts.
- Customizable input: Users can specify the blog topic, desired word count, and writing style.
- Real-time generation: The blog post is generated in real-time upon user input.