This application is designed to facilitate blog development using the Meta Llama 2 model. It is built on Streamlit and provides a user-friendly interface for individuals, data scientists, and researchers who want to interact with the Llama 2 model without extensive app development knowledge.
- Meta Llama 2 Model: Utilizes the powerful Meta Llama 2 model for blog development tasks.
- Streamlit Interface: Provides an intuitive user interface built on Streamlit for easy interaction with the model.
- User-Friendly: Designed to be accessible to individuals with varying levels of technical expertise.
To get started with the application, follow these steps:
-
Installation: Clone the repository to your local machine and install the required dependencies using
pip install -r requirements.txt
. -
Run the Application: Launch the application by running
streamlit run app.py
in your terminal. -
Interact with the Model: Use the user interface to interact with the Meta Llama 2 model and perform various blog development tasks.
The primary use of the application is to create content based on the profile selected. The app provides a user-friendly interface to interact with the Meta Llama 2 model and generate blog content. Users can select a profile, such as "Researcher" or "Data Scientist," and specify the desired word limit for the content. The model will then generate a blog post based on the selected profile and word limit.
The application also allows users to create both long-form and short-form content, depending on their needs. Users can specify a word limit ranging from 100 to 1000 words, providing flexibility in the length of the generated content.
Overall, the application provides a simple and efficient way to generate high-quality blog content, even for users without extensive app development knowledge.
If you would like to contribute to the development of the application, please follow these guidelines:
- Issue Tracker: Check the issue tracker for existing tasks or open a new issue to propose enhancements or report bugs.
- Pull Requests: Submit pull requests with proposed changes, ensuring that the code follows the project's coding standards.
This project is licensed under the MIT License - see the LICENSE file for details.