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Cyklops: Video/Image to Text Conversational Agent

Cyklops is an intelligent conversational agent that provides video/image-to-text capabilities. It utilizes the FastAPI framework along with the open-source LLaVA model for efficient image-to-caption processing.For Frontend , visit Cyklops_Fronted Repo

Demo Video

demo.mp4

Running Using Docker

docker build --build-arg ENV_FILE=.env -t your_image_name .

Make sure to add all env keys

Setup

1. Requirements Installation

pip install -r requirements.txt

2. Environment Variables

Create an .env file with the following variables:

GITHUB_REPO = "username/repo"  # Replace with your GitHub username and repository name
GITHUB_TOKEN = "github_personal_access_token"  # Replace with your GitHub personal access token
GOOGLE_API_KEY = "google_gemini_api_key"  # Replace with your Google Gemini API key

3. Run this Server

python -m uvicorn main:app --reload

By default , the API documentation will be available at localhost:8000/docs

Overview

Cyklops processes images using the LLaVA model and requires a cloud storage solution to temporarily store images during the processing phase. This README provides details on using GitHub as the cloud storage.Using Intelligent frames cutting using scenedetect , Cyklops provides a way to interact with videos as well.

GitHub Setup

  1. Create a Repository:

    • Create a new GitHub repository where processed images will be stored.

  2. Generate Personal Access Token::

    • Generate a GitHub personal access token with the necessary permissions to read and write to the repository. Set this token as GITHUB_TOKEN in the .env file.

  3. Configure Environment Variables::

    • Set GITHUB_REPO in the .env file to match your GitHub username and repository name.

Google API Key

Obtain a Google Gemini API key and set it as GOOGLE_API_KEY in the .env file.

Running the Server

After completing the setup steps, run the FastAPI server using the provided command. The server will be accessible, and you can begin utilizing Cyklops for video/image-to-text conversations.

Feel free to customize the configuration based on your specific needs and requirements. For any assistance or issues, refer to the documentation or raise a issue for support.

Proudly Open-Source