merge coderabbit

[MasumRab]

merge

Summary by Sourcery

Add a Gradio-based interface to the Python backend for AI email analysis, including dependency and documentation updates.

New Features:

• Add Gradio-based interface for AI-powered email analysis via the Python backend.

Build:

• Add gradio to dependencies in requirements.txt.

Documentation:

• Add Python backend README with setup and usage instructions for the Gradio app.

[sourcery-ai]

Reviewer's Guide

This PR integrates a Gradio-based UI into the Python backend by adding the Gradio dependency, introducing a dedicated README for the backend, and implementing a new gradio_app.py that wraps the existing AdvancedAIEngine to expose an email analysis interface.

Sequence Diagram for Email Analysis via Gradio UI

sequenceDiagram
    actor User
    participant GradioUI as "Gradio Interface"
    participant GradioApp as "gradio_app.py (analyze_email_interface)"
    participant AIEngine as "AdvancedAIEngine"

    User->>GradioUI: Enters email subject and content
    User->>GradioUI: Submits for analysis
    GradioUI->>GradioApp: analyze_email_interface(subject, content)
    GradioApp->>AIEngine: analyze_email({"subject": subject, "content": content})
    AIEngine-->>GradioApp: ai_result: AIAnalysisResult
    GradioApp->>GradioApp: result_dict = ai_result.model_dump()
    GradioApp-->>GradioUI: result_dict
    GradioUI-->>User: Displays JSON result

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Class Diagram: New gradio_app Module and Interactions

classDiagram
    class `gradio_app` {
        <<Module>>
        +analyze_email_interface(subject: string, content: string): dict
        -ai_engine: AdvancedAIEngine
    }
    `gradio_app` ..> AdvancedAIEngine : uses
    `gradio_app` ..> `gradio.Interface` : uses
    `gradio_app` ..> `gradio.Textbox` : uses
    `gradio_app` ..> `gradio.JSON` : uses

    class AdvancedAIEngine {
      <<Existing Component>>
      +analyze_email(email_data: dict): AIAnalysisResult
    }
    class AIAnalysisResult {
      <<Data Model>>
      +model_dump(): dict
    }
    class `gradio.Interface` { <<External Library>> }
    class `gradio.Textbox` { <<External Library>> }
    class `gradio.JSON` { <<External Library>> }

    AdvancedAIEngine ..> AIAnalysisResult : returns

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File-Level Changes

Change	Details	Files
Add Gradio dependency to project	Add gradio entry in requirements.txt	requirements.txt
Introduce backend documentation	Create README.md outlining the Python backend and Gradio interface Detail dependency installation and app launch steps	server/python_backend/README.md
Implement Gradio application module	Import Gradio and AdvancedAIEngine Define analyze_email_interface converting Pydantic model to dict Set up gr.Interface with subject/content inputs and JSON output Wrap iface.launch() under if __name__ == "__main__"	server/python_backend/gradio_app.py

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