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A modular library offering diverse AI functionalities for text, image, audio, and video processing. Leverage state-of-the-art models to create intelligent solutions for a wide range of tasks.

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ACM-Amrita-Amritapuri/OmniHubAI

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OmniHubAI 🤖

Welcome to OmniHubAI – Your Ultimate AI Library!

OmniHubAI is a comprehensive library that encompasses various AI-related tasks, utilizing advanced models from sources like Gemini, OpenAI, and Hugging Face. This repository is designed for anyone looking to understand, learn, and apply AI functionalities easily, with modules ready for integration into your projects.

🔍 What's in OmniHubAI?

  • Text Module: Includes functionalities for query answering, chatbots, code generation, and more.
  • Image Module: Tasks related to images, such as captioning, generating, manipulating, and more.
  • Audio Module: Handles audio tasks like transcription, speech generation, and more.
  • Video Module: Processes video-related tasks and generation.
  • And More: We aim to cover a wide range of AI functionalities that are useful in various applications!

Each module includes:

  • Readable Code: With comments and explanations for ease of understanding.
  • Modular Format: Making it easy to call functions for your own projects.
  • Clear Documentation: Explaining how the functionalities work, model requirements, and where they can be best utilized.

🎉 Hacktoberfest 2024 at OmniHubAI!

GitHub contributors GitHub Closed issues GitHub PR Open GitHub PR closed GitHub language count GitHub top language GitHub last commit GitHub Maintained Github Repo Size

This repository is part of Hacktoberfest 2024, and we welcome contributions from developers around the globe. If you’re looking to make your mark in the open-source community, this is a great place to start!

How to Contribute?

Contributions are always welcome!

Fork the Repository

Start by forking the repository.

Clone the Repository

Once you have forked the repository, clone it to your local development environment using the following command:

git clone https://github.com/<your_github_username>/OmniHubAI.git

Replace <your_github_username> with your GitHub username.

Create a Branch

Move into the project's directory and create a new branch for your contributions:

cd OmniHubAI
git checkout -b my-feature-branch

Replace my-feature-branch with a descriptive branch name related to your changes.

Make Your Changes

Now it's time to work on your contributions!

Check the Changed Files

git status

Commit Your Changes

git add .
git commit -m "<EXPLAIN-YOUR-CHANGES>"

Push to Your Forked Repository

git push origin my-feature-branch

Replace my-feature-branch with the name of your branch.

Create a Pull Request

Go to your forked repository on GitHub, and you should see a "Compare & pull request" button. Click on it to create a pull request (PR) from your branch to the main OmniHubAI repository.


📜 License

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


✨ Top Contributors



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If you enjoyed working on this project, please do ⭐ it and share this repository with others!

🎉 🎊 😃 Happy Contributing! 😃 🎊 🎉

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A modular library offering diverse AI functionalities for text, image, audio, and video processing. Leverage state-of-the-art models to create intelligent solutions for a wide range of tasks.

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