Llamario 🦙

Llamario is an AI-powered web application that utilizes the Llama 3.2 11b and Llama 3-8b models for image processing and content generation. This application allows users to upload images and receive detailed descriptions, as well as generate content for social media based on user-defined topics.

Features

• Image Upload: Users can upload images in JPG, JPEG, or PNG formats.
• Image Processing: The application analyzes uploaded images and provides insights about their contents.
• Content Generation: Users can generate well-structured articles based on selected topics or their own ideas.
• User-Friendly Interface: A clean and engaging interface built with Streamlit for ease of use.

Technologies Used

• Streamlit: For building the web interface.
• Pillow: For image processing.
• Groq: To interact with the Llama models for image analysis and content generation.

Getting Started

To run this application locally, follow these steps:

1. Clone the Repository:

   git clone https://github.com/mohAhmadRaza/Llama-3.2-LlamarioApp.git
   cd your-repo-name

2. Install Dependencies: Make sure you have Python installed. Then install the required packages:

   pip install -r requirements.txt

3. Run the Application: Start the Streamlit server:

   streamlit run app.py

4. Open in Browser: Navigate to https://llamario.streamlit.app/ in your web browser to view the application.

Usage

1. Upload an image to receive a description.
2. Select a topic or enter your own topic to generate content for social media.
3. Enjoy the insights and content generated by Llama models!

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Acknowledgments

• Thanks to the creators of the Llama models for their innovative work in AI and machine learning.
• Special thanks to the Streamlit community for providing an excellent framework for building web applications.