Enhance Streamlit with modern components and variables

[sosacrazy126]

Enhance Streamlit with modern components and variables

What this Pull Request (PR) does

This PR significantly enhances the Fabric Streamlit UI with modern
components and adds comprehensive pattern variables support. Key
improvements include:

🔧 Pattern Variables Support (NEW)

* Automatic detection of `{{variable_name}}` syntax in patterns
* Dynamic UI generation for variable input with smart placeholders
* Real-time validation ensuring all required variables are filled
* Seamless integration with both single pattern and chain mode execution
* Visual indicators showing which patterns require variables (🔧 icon +

count)

🎨 Modern UI Enhancements

* Updated to use latest Streamlit 2024 components (`st.pills()`,

st.segmented_control(), st.feedback(), st.toast(), st.dialog(),
st.status())
* Enhanced pattern selection with tags and filtering
* Interactive feedback system with thumbs up/down rating
* Advanced analytics and execution statistics
* Cross-platform clipboard support (macOS, Windows, Linux)
* Modern styling with gradients and animations
* Welcome screen for new users

⚙️ Technical Improvements

* Comprehensive error handling and input validation
* Enhanced session state management
* Backward compatibility with fallbacks for older Streamlit versions
* Performance optimizations and caching strategies

Related issues

This PR addresses feedback from @ksylvan in the original review
comments:

* Restores the enhanced Streamlit UI that was accidentally removed
* Adds support for patterns that require variables (main feature request)
* Syncs branch with latest upstream changes
* Maintains all existing functionality while adding new features

[Copilot]

Pull Request Overview

This PR significantly enhances the Fabric Streamlit UI with modern components and comprehensive pattern variables support. The key focus is addressing reviewer feedback while adding the highly requested ability to execute patterns that require variables. The PR restores the enhanced UI that was accidentally removed and syncs with the latest upstream changes.

• Comprehensive pattern variables system with automatic detection and dynamic UI generation
• Modern Streamlit 2024 components with graceful fallbacks for older versions
• Enhanced pattern execution with real-time validation and visual feedback

Reviewed Changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 4 comments.

Show a summary per file

File	Description
scripts/python_ui/streamlit.py	Complete UI overhaul with pattern variables support, modern components, and enhanced execution capabilities
scripts/python_ui/STREAMLIT_ENHANCEMENTS.md	Comprehensive documentation of new features and technical implementation
README.md	Updated web interface documentation to clarify different UI options
PR_1655_COMPLETION_SUMMARY.md	Detailed summary of all issues resolved and features implemented
PR_1655_ACTION_PLAN.md	Technical action plan and validation checklist for the PR

Comments suppressed due to low confidence (2)

scripts/python_ui/streamlit.py:1426

• [nitpick] The function name execute_patterns_enhanced suggests it's a temporary or alternative version. Consider renaming to something more descriptive like execute_patterns_with_variables or updating the original function

def execute_patterns_enhanced(

scripts/python_ui/streamlit.py:2904

• [nitpick] The pattern of storing outputs in session state and then immediately clearing them suggests a design issue. Consider refactoring to avoid temporary state variables

                    # Display output from the last run and then clear it

[ksylvan]

@sosacrazy126 Good stuff. Have you addressed the issues pointed out by Copilot?

[sosacrazy126]

@ksylvan no i will do that now

[ksylvan]

I'll do a very focused review of the Streamlit UI code changes (and I will check out your branch and run it locally too for a final verification).

Thank you for the contribution!

Was this generated by Opencode or Claude Code?

[ksylvan]

Okay, @sosacrazy126 - I noticed that my question about whether this code was generated by AI hasn't been addressed yet.

Which tool and model did you use?

I'm not saying that using AI tooling is bad, not at all, but we need to be careful about what the AI produces, and at times, we need to keep iterating on it over and over and over again till it achieves the desired level of code quality.

I want to make sure that you and I together can collaborate to create really clean and functional high-quality code.

While the functionality of the Streamlit UI appears comprehensive, there are several areas that need attention, particularly around error handling, code organization, and potential security concerns.

What I'd like to see is for you to:

1. Refactor the massive main() function into smaller, focused functions for better maintainability (possibly even breaking it into modules of related functions—this would also help with being able to thoroughly review the code and also do a proper security audit).

2. Add proper error handling for all new UI components and external dependencies

Basically, the Streamlit UI code needs a complete refactoring/rewrite.

[sosacrazy126]

@ksylvan, sorry for the delay in replying! Yep — I used Claude Code for both the original streamlit.py and the enhanced version 😄. I also pulled in the latest docs using ref-tools-mcp. sonnet 4 and a mix of mcp tools

[ksylvan]

@ksylvan, sorry for the delay in replying! Yep — I used Claude Code for both the original streamlit.py and the enhanced version 😄. I also pulled in the latest docs using ref-tools-mcp. sonnet 4 and a mix of mcp tools

To be honest with you, the Claude-generated code in this case is not that good, unfortunately.

Please collaborate with it more and implement my suggested refactoring. The goal is to come up with a much cleaner, less verbose, more python-idiomatic version of the Streamlit UI that also implements your desired enhancements.

[sosacrazy126]

can you elaborate on what you mean

[ksylvan]

can you elaborate on what you mean

Read my comments above fully.

To be completely blunt: Your Claude-generated code is a nightmare to navigate and maintain.

I'll repeat what I wrote above:

While the functionality of the Streamlit UI appears comprehensive, there are several areas that need attention, particularly around error handling, code organization, and potential security concerns.

What I'd like to see is for you to:

Refactor the massive main() function into smaller, focused functions for better maintainability (possibly even breaking it into modules of related functions—this would also help with being able to thoroughly review the code and also do a proper security audit).

Add proper error handling for all new UI components and external dependencies

Basically, the Streamlit UI code needs a complete refactoring/rewrite.

For example, among many approaches to breaking the massive main() function into components would be something like this (you'll have to extend this and think from what I am saying below):

def main():
    """Main function to run the Streamlit app."""
    logger.info("Starting Fabric Pattern Studio")
    initialize_app()

    try:
        render_header()
        setup_sidebar()

        view = get_current_view()

        if view == "Run Patterns":
            render_pattern_execution_view()
        elif view == "Pattern Management":
            render_pattern_management_view()
        else:
            render_analysis_dashboard_view()

    except Exception as e:
        handle_application_error(e)

def initialize_app():
    """Initialize application configuration and state."""
    st.set_page_config(
        page_title="Fabric Pattern Studio",
        page_icon="🎭",
        layout="wide",
        initial_sidebar_state="expanded",
    )
    apply_custom_styling()
    initialize_session_state()

def render_pattern_execution_view():
    """Render the main pattern execution interface."""
    # Implementation here
    pass

The main function is over 400 lines long and handles multiple responsibilities, including UI rendering, state management, and business logic. Breaking it into focused functions improves readability, testability, and maintainability. Each function should have a single responsibility and be easier to debug and modify.

Similarly, instead of one file, you should reorganize the Streamlit UI into a proper Pythonic set of modules, separating the functions that take care of similar/related things into one file.