Design and sketch an architecture for a scalable chatbot dialogue management system similar to ChatGPT.
- Session Management: Users should be able to create and manage multiple chat sessions.
- Sequential Interaction: Within each session, interactions should be processed in sequence, maintaining a consistent context.
- Persistence: Sessions should be persistent to ensure continuity even after disruptions.
- In-Memory Contexts: The chatbot's context should preferably be stored in RAM for faster access.
- Scalability: Design the system with scalability in mind, allowing for the accommodation of dozens of thousands (or more) of simultaneous sessions.
- Using Python for the backend, create a mock-up or proof-of-concept where the bot simply echoes back the user's input.
- Develop a simple front-end interface for the chatbot using a framework of your choice.
- Provide a brief justification for your choice of framework.
- It's recommended to use best-in-class AI assistants, but this is not mandatory.
- If you believe that a certain requirement is unnecessary or would hinder the system, feel free to omit it. However, provide a detailed reasoning for the exclusion.
- Additional requirements may be introduced based on evolving project needs or insights gained during the task.