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.
- 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.
- Streamlit: For building the web interface.
- Pillow: For image processing.
- Groq: To interact with the Llama models for image analysis and content generation.
To run this application locally, follow these steps:
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Clone the Repository:
git clone https://github.com/mohAhmadRaza/Llama-3.2-LlamarioApp.git cd your-repo-name -
Install Dependencies: Make sure you have Python installed. Then install the required packages:
pip install -r requirements.txt
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Run the Application: Start the Streamlit server:
streamlit run app.py
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Open in Browser: Navigate to
https://llamario.streamlit.app/in your web browser to view the application.
- Upload an image to receive a description.
- Select a topic or enter your own topic to generate content for social media.
- Enjoy the insights and content generated by Llama models!
This project is licensed under the MIT License. See the LICENSE file for more details.
- 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.