Welcome to our AI SaaS Platform, your all-in-one solution for generating dynamic content including conversations, images, videos, music, and code snippets. Our platform leverages cutting-edge artificial intelligence algorithms to provide seamless and high-quality content generation tailored to your needs.
- Conversation: Generate realistic and engaging conversations between virtual characters or users.
- Images: Create stunning images tailored to your specifications using advanced image generation techniques.
- Videos: Generate professional-quality videos with custom settings, themes, and styles.
- Music: Compose original music tracks or remix existing ones with our AI-powered music generation tools.
- Code: Automatically generate code snippets for various programming languages based on specific requirements.
- Initial Context Prompt: Provide an initial context prompt to guide the content generation process and ensure that the generated content aligns with your specific requirements and preferences.
- Parameters and Settings: Fine-tune the generation process by adjusting parameters and settings according to your needs.
The AI SaaS platform is deployed and accessible at: https://d2czldtmzevope.cloudfront.net/
This is coupled with a database run on an EC2 instance using docker and other AWS resources created with SST.
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docker-compose up: This command orchestrates the startup of Docker containers as defined in thecompose.yamlfile. It's commonly used to start all the services and dependencies required for the AI SaaS platform, such as databases, message brokers, or other microservices. -
npx drizzle-kit studio: This command starts the Drizzle Kit Studio, which is a graphical user interface (GUI) tool used for managing and developing applications built with Drizzle, a framework or toolset used in the project. -
npx sst dev: This command starts the Serverless Stack (SST) framework in development mode. SST is a framework used for building serverless applications on AWS (Amazon Web Services). Running in development mode allows developers to test and iterate on their serverless application locally before deploying it to the cloud. -
npm run dev: This command starts the development server for the Npm framework. Npm is likely the framework or toolset used for developing the AI SaaS platform. Running the development server enables developers to preview and test their changes in a local environment before deploying them to production.
These commands are essential for running and developing the AI SaaS platform locally, providing a streamlined workflow for development and testing. Adjustments or additional commands may be necessary based on the specific setup and requirements of your project.
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- CLERK_SECRET_KEY=
- NEXT_PUBLIC_CLERK_SIGN_IN_URL=
- NEXT_PUBLIC_CLERK_SIGN_UP_URL=
- NEXT_PUBLIC_CLERK_AFTER_SIGN_IN_URL=
- NEXT_PUBLIC_CLERK_AFTER_SIGN_UP_URL=
- OPENAI_API_KEY=
- REPLICATE_API_TOKEN=
- DB_HOST=
- DB_PORT=
- DB_NAME=
- DB_USER=
- DB_PASSWORD=
npx sst deploy --stage prod: This command deploys the AI SaaS platform to Amazon Web Services (AWS) using the Serverless Stack (SST) framework. The --stage prod flag specifies that the deployment is intended for the production stage, ensuring that the resources are provisioned in the production environment.
- AWS S3: Utilized for scalable and secure storage of media files such as images, videos, and music generated by the AI SaaS platform.
- Docker: Employed for containerization of the application, including services like Postgres for database management and Adminer for database administration.
- Drizzle: Integrated for managing and developing applications, providing tools and frameworks for efficient development workflows.
- OpenAI / Replicate API: Leveraged for accessing advanced AI capabilities, such as generating conversation, images, videos, music, and code snippets, through the Replicate API provided by OpenAI.
This project is licensed under the MIT License.
If you have any questions or suggestions, please feel free to reach out:
- Email: [email protected]
- LinkedIn: https://linkedin.com/in/kpirabaharan/