Blog Generation LLM App

This Streamlit web application simplifies the process of generating blogs using the LLama 2 language model. To make it easy for others to use and deploy, follow the steps below:

How to Use

1. Clone the Repository:

   git clone https://github.com/hardikjp7/Blog-Generation-LLM-App.git
   cd Blog-Generation-LLM-App

2. Download LLama 2 Model: Visit the official LLama 2 model page here and download the "llama-2-7b-chat.ggmlv3.q8_0.bin" file.

3. Add Model to "models" Folder: Place the downloaded model file in the "models" folder of this project.

4. Install Dependencies: Use the following command to install the required Python packages:

   pip install -r requirements.txt

5. Run the Application: Execute the Streamlit app with the following command:

   streamlit run app.py

6. Access the Web App: Open your web browser and navigate to the provided local address (usually http://localhost:8501).

Generating Blogs

1. Enter the desired blog topic in the provided text input.

2. Choose the intended audience for the blog by selecting from the available options: Researchers, Data Scientists, or Common People.

3. Specify the desired word count for the generated blog.

4. Click the "Generate" button to trigger the LLama 2 language model and receive the dynamically created blog.

Now you can effortlessly create blogs using the Blog Generation LLM App! 🚀