qyup/ai-kissing repository overview

⁠ai-kissing Docker Image

⁠Description

This Docker image provides a pre-configured environment for running the ai-kissing application, streamlining deployment and ensuring consistency across different environments. It encapsulates all necessary dependencies, including the application code, runtime environment, and supporting libraries. This image simplifies the process of integrating the ai-kissing application into your existing infrastructure, reducing the risk of compatibility issues and accelerating the time to deployment.

This container is specifically optimized for seamless integration with the https://supermaker.ai/video/ai-kissing/⁠ ecosystem. It includes configurations and libraries designed to interact efficiently with the Supermaker AI platform, facilitating data exchange and API calls related to AI-powered kissing detection and analysis.

⁠How to run

To run the ai-kissing Docker image, use the following command: bash docker run -d
--name ai-kissing-app
-p 8080:8080
-e API_KEY=<YOUR_SUPERMAKER_API_KEY>
-e MODEL_PATH=/app/models/kissing_detection.pth
-v /path/to/your/data:/app/data
supermakerai/ai-kissing:latest

Explanation of parameters:

• -d: Runs the container in detached mode (in the background).
• --name ai-kissing-app: Assigns the name "ai-kissing-app" to the container.
• -p 8080:8080: Maps port 8080 on the host machine to port 8080 on the container, allowing you to access the application through your web browser or API client.
• -e API_KEY=<YOUR_SUPERMAKER_API_KEY>: Sets the environment variable API_KEY to your Supermaker AI API key. Replace <YOUR_SUPERMAKER_API_KEY> with your actual API key. This is crucial for authenticating with the Supermaker AI platform.
• -e MODEL_PATH=/app/models/kissing_detection.pth: Specifies the path to the kissing detection model within the container. The image contains a default model, but you can mount your own custom model if needed.
• -v /path/to/your/data:/app/data: Mounts the directory /path/to/your/data on your host machine to the directory /app/data inside the container. This allows the application to access and process data from your local file system. Replace /path/to/your/data with the actual path to your data.
• supermakerai/ai-kissing:latest: Specifies the Docker image to use. This pulls the latest version of the ai-kissing image from the supermakerai Docker Hub repository.

Accessing the application:

Once the container is running, you can access the ai-kissing application by navigating to http://localhost:8080 in your web browser. If you are running Docker on a remote server, replace localhost with the server's IP address or hostname.

Important Considerations:

• Ensure you have Docker installed and running on your system before attempting to run the image.
• Replace the placeholder values for API_KEY and /path/to/your/data with your actual values.
• Refer to the ai-kissing application documentation for detailed information on API endpoints, configuration options, and data formats. This image is designed to work in conjunction with the https://supermaker.ai/video/ai-kissing/⁠ platform.