Enhancing Input/Output Handling in rich-chat with textual

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Objective:

This issue aims to consolidate discussions on integrating textual into rich-chat. Previous mentions in issues #3 and #7 touch upon textual's capabilities but diverge from their main topics.

Context:

Issue #3 highlighted textual for its advanced features beyond rich, particularly for clipboard management via clip and its Events API with DOM support, suggesting potential for dynamic text management at runtime.

Issue #7 pointed out textual for improving window resizing functionality while acknowledging its steep learning curve.

Comparative Analysis Against Other Solutions:

Elia exemplifies integration with the OpenAI API. Despite its simplicity, the limited interaction, notably the Input box's one-line restriction and immediate submission upon enter, underscores textual's potential for a more interactive UI.

Considerations:

Choosing between rich combined with prompt-toolkit and adopting textual involves balancing ease of interface design against control and customization complexity. textual offers a visually appealing UI with less effort but demands deep knowledge for customization.

There's no one-size-fits-all solution. Preferences and project goals should guide our choice. While textual promises an elegant interface, achieving our specific needs may require significant development time.

I propose a focused discussion on how textual can meet our project's unique requirements for input and output handling, considering our experiences and the limitations identified in other solutions.