Emotions play a crucial role in our lives, and we often express them through various means, such as music, art, and memes. The AI emotion-based meme generator is a powerful tool that combines computer vision, natural language processing, and meme generation to create memes based on the emotion of an image and a topic.
This repository contains the source code for the AI emotion-based meme generator, including the deep learning model for emotion detection, the song dataset, the text generation model, and the meme generation library.
The model takes two inputs: an image and a topic. The image is processed using computer vision techniques to detect the emotion of the image. Based on the emotion detected, the model searches for a song in a dataset that matches the emotion. The model then generates a meme by combining the image, the topic, and the lyrics of the song.
To install the AI emotion-based meme generator, follow these steps:
- Clone this repository:
git clone https://github.com/yashgo0018/ai-musical-meme-generator- Go to the
backendfolder
cd backend- Install the required dependencies:
pip install -r requirements.txtTo use the AI emotion-based meme generator, follow these steps:
- Place the image you want to generate a meme for in the input folder.
Run the main.py script:
uvicorn src:app --reload- The server will start you can explore the api using
http://localhost:8000/docs
The generated meme will be saved in the backend/static folder. And will accessable on http://localhost:8000/static/{videoname}
Contributions are always welcome! If you'd like to contribute to this project, please fork this repository and submit a pull request.
This project is licensed under the MIT License.