Spaces:
Sleeping
Sleeping
UI updates
Browse files
README.md
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@@ -1,6 +1,5 @@
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---
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title: Agentic Image2Word Converter
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emoji: π§
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colorFrom: indigo
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colorTo: blue
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sdk: gradio
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license: mit
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---
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#
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An AI-powered document conversion system that transforms scanned images into formatted Word documents using an **agentic architecture**. Built as a Phase 2 evolution of a traditional OCR converter, this system features autonomous decision-making, adaptive preprocessing, and learning memory.
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##
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Unlike a traditional static pipeline, this application operates as a **Goal-Based Learning Agent** with five autonomous processing stages:
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```
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-
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```
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| Stage | Description |
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| Document Output | **python-docx** |
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| Deployment | **Hugging Face Spaces** |
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##
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### Prerequisites
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- Python 3.10+
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@@ -81,7 +80,7 @@ Open `http://localhost:7860` in your browser.
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4. **Review**: Check the preview, edit extracted text if needed
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5. **Download**: Get your formatted .docx file
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##
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| Concern | Mitigation |
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|---------|------------|
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@@ -90,7 +89,7 @@ Open `http://localhost:7860` in your browser.
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| **User Control** | Human-in-the-loop text editing before final output |
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| **Safety** | Confidence scoring with quality alerts |
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##
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```
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PPIT/
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@@ -111,11 +110,11 @@ PPIT/
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βββ README.md
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```
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-
##
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This application is deployed on **Hugging Face Spaces**:
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- Live URL: [https://huggingface.co/spaces/xeeshan404/agentic-image2word](https://huggingface.co/spaces/xeeshan404/agentic-image2word)
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-
##
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MIT License β Open Source
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---
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title: Agentic Image2Word Converter
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colorFrom: indigo
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colorTo: blue
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sdk: gradio
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license: mit
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---
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+
# Agentic Image2Word Converter
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An AI-powered document conversion system that transforms scanned images into formatted Word documents using an **agentic architecture**. Built as a Phase 2 evolution of a traditional OCR converter, this system features autonomous decision-making, adaptive preprocessing, and learning memory.
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+
## Architecture β Agentic System
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Unlike a traditional static pipeline, this application operates as a **Goal-Based Learning Agent** with five autonomous processing stages:
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```
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+
Image β PERCEIVE β ANALYZE β DECIDE β ACT β LEARN β DOCX
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```
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| Stage | Description |
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| Document Output | **python-docx** |
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| Deployment | **Hugging Face Spaces** |
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+
## Quick Start
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### Prerequisites
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- Python 3.10+
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4. **Review**: Check the preview, edit extracted text if needed
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5. **Download**: Get your formatted .docx file
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## Ethical Design
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| Concern | Mitigation |
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|---------|------------|
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|
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| **User Control** | Human-in-the-loop text editing before final output |
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| **Safety** | Confidence scoring with quality alerts |
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## Project Structure
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```
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PPIT/
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βββ README.md
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```
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+
## Deployment
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This application is deployed on **Hugging Face Spaces**:
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- Live URL: [https://huggingface.co/spaces/xeeshan404/agentic-image2word](https://huggingface.co/spaces/xeeshan404/agentic-image2word)
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## License
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MIT License β Open Source
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app.py
CHANGED
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@@ -140,13 +140,13 @@ def process_image(image_path, api_key, llm_provider, progress=gr.Progress()):
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if image_path is None:
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return (
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None,
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-
'<div style="color: #f87171; padding: 20px;">
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"",
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"",
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""
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)
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-
progress(0.1, desc="
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# Determine provider
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provider = "none"
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@@ -160,19 +160,19 @@ def process_image(image_path, api_key, llm_provider, progress=gr.Progress()):
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key = "http://localhost:11434"
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try:
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-
progress(0.2, desc="
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# Run the full agentic workflow
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result = run_agent(image_path, api_key=key, llm_provider=provider)
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-
progress(0.9, desc="
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# Extract results
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error = result.get("error")
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if error:
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return (
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None,
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-
f'<div style="color: #f87171; padding: 20px;">
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"",
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_format_agent_log(result.get("processing_log", [])),
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""
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@@ -225,7 +225,7 @@ def _build_status_html(confidence, quality, result):
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html = f"""
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<div style="padding: 16px; font-family: Inter, sans-serif;">
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<div style="display: flex; align-items: center; gap: 12px; margin-bottom: 12px;">
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-
<span style="font-size: 1.5em;">{'
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<div>
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<div style="font-weight: 600; font-size: 1.1em; color: {color};">
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{quality.upper()} Quality β {conf_pct}% Confidence
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@@ -239,10 +239,10 @@ def _build_status_html(confidence, quality, result):
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<div class="confidence-fill" style="width: {conf_pct}%; background: {color};"></div>
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</div>
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<div style="display: grid; grid-template-columns: 1fr 1fr; gap: 8px; margin-top: 12px; font-size: 0.85em; color: #94a3b8;">
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-
<div>
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-
<div>
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-
<div>
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-
<div>
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</div>
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{'<div style="margin-top: 12px; padding: 8px; background: rgba(251, 191, 36, 0.1); border-radius: 8px; color: #fbbf24; font-size: 0.85em;">β οΈ Low confidence β consider reviewing the extracted text before downloading.</div>' if result.get("needs_human_review") else ''}
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</div>
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lines = []
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step_icons = {
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-
"perceive": "
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-
"analyze": "
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-
"decide": "
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-
"act": "
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-
"learn": "
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}
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for entry in log:
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# Header
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gr.HTML("""
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<div class="header-banner">
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-
<h1>
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<p>AI-powered document conversion with adaptive OCR, intelligent formatting, and learning memory</p>
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</div>
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""")
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with gr.Tabs() as tabs:
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# ββ Tab 1: Converter ββββββββββββββββββββββββββββββββββββββββββ
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-
with gr.TabItem("
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with gr.Row(equal_height=False):
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# Left Column β Input & Settings
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with gr.Column(scale=1):
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img_input = gr.Image(
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type="filepath",
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-
label="
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height=300,
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sources=["upload", "clipboard"],
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)
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)
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btn_convert = gr.Button(
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-
"
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variant="primary",
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size="lg",
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)
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# Right Column β Output
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with gr.Column(scale=1):
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with gr.Tabs():
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-
with gr.TabItem("
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preview_output = gr.HTML(
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value='<div style="padding: 40px; color: #94a3b8; text-align: center; font-style: italic;">Document preview will appear here...</div>',
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label="Document Preview",
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)
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-
with gr.TabItem("
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text_output = gr.Textbox(
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label="Extracted Text (Editable)",
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lines=12,
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@@ -412,7 +412,7 @@ def build_ui():
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info="Edit text here before generating the final document",
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)
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-
with gr.TabItem("
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agent_log = gr.Textbox(
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label="Agent Decision Log",
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lines=12,
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@@ -433,10 +433,10 @@ def build_ui():
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)
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# ββ Tab 2: Memory & History βββββββββββββββββββββββββββββββββββ
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-
with gr.TabItem("
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gr.HTML("""
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<div style="padding: 12px 0;">
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-
<h3 style="margin: 0; color: #e2e8f0;">
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<p style="color: #94a3b8; margin: 4px 0 0;">
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The agent learns from each document it processes, adapting its preprocessing
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and formatting decisions based on past results.
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</div>
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""")
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history_display = gr.HTML(value=get_history_html())
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-
btn_refresh = gr.Button("
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btn_refresh.click(fn=get_history_html, outputs=[history_display])
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# ββ Tab 3: About ββββββββββββββββββββββββββββββββββββββββββββββ
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-
with gr.TabItem("
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gr.HTML("""
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<div style="padding: 20px; line-height: 1.8;">
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<h2 style="color: #e2e8f0;">Agentic Image2Word Converter</h2>
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@@ -457,36 +457,36 @@ def build_ui():
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Word documents using an <b>agentic AI architecture</b>.
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</p>
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-
<h3 style="color: #818cf8; margin-top: 20px;">
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<div style="display: grid; grid-template-columns: repeat(5, 1fr); gap: 8px; margin: 12px 0;">
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<div style="background: rgba(99,102,241,0.1); padding: 12px; border-radius: 8px; text-align: center;">
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-
<div style="font-size: 1.5em;">
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<div style="font-weight: 600; color: #e2e8f0;">Perceive</div>
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<div style="font-size: 0.75em; color: #94a3b8;">Analyze image</div>
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</div>
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<div style="background: rgba(99,102,241,0.1); padding: 12px; border-radius: 8px; text-align: center;">
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-
<div style="font-size: 1.5em;">
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<div style="font-weight: 600; color: #e2e8f0;">Analyze</div>
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<div style="font-size: 0.75em; color: #94a3b8;">Run OCR</div>
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</div>
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<div style="background: rgba(99,102,241,0.1); padding: 12px; border-radius: 8px; text-align: center;">
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-
<div style="font-size: 1.5em;">
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<div style="font-weight: 600; color: #e2e8f0;">Decide</div>
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<div style="font-size: 0.75em; color: #94a3b8;">Format text</div>
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</div>
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<div style="background: rgba(99,102,241,0.1); padding: 12px; border-radius: 8px; text-align: center;">
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-
<div style="font-size: 1.5em;">
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<div style="font-weight: 600; color: #e2e8f0;">Act</div>
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<div style="font-size: 0.75em; color: #94a3b8;">Generate DOCX</div>
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</div>
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<div style="background: rgba(99,102,241,0.1); padding: 12px; border-radius: 8px; text-align: center;">
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-
<div style="font-size: 1.5em;">
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<div style="font-weight: 600; color: #e2e8f0;">Learn</div>
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<div style="font-size: 0.75em; color: #94a3b8;">Save memory</div>
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</div>
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</div>
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-
<h3 style="color: #818cf8; margin-top: 20px;">
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<table style="width: 100%; color: #e2e8f0; border-collapse: collapse; margin: 12px 0;">
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<tr style="border-bottom: 1px solid #1e293b;">
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<td style="padding: 8px; font-weight: 600;">OCR Engine</td>
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@@ -510,7 +510,7 @@ def build_ui():
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</tr>
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</table>
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-
<h3 style="color: #818cf8; margin-top: 20px;">
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<ul style="color: #94a3b8;">
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<li><b>Privacy:</b> All processing is done server-side; no data is shared externally.</li>
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<li><b>Transparency:</b> Full agent decision log visible in real-time.</li>
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if image_path is None:
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return (
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None,
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+
'<div style="color: #f87171; padding: 20px;"> Please upload an image first.</div>',
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"",
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"",
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""
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)
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+
progress(0.1, desc="Agent: Perceiving image...")
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# Determine provider
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provider = "none"
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key = "http://localhost:11434"
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try:
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+
progress(0.2, desc="Agent: Analyzing image properties...")
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# Run the full agentic workflow
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result = run_agent(image_path, api_key=key, llm_provider=provider)
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+
progress(0.9, desc="Agent: Finalizing...")
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# Extract results
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error = result.get("error")
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| 172 |
if error:
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return (
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None,
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+
f'<div style="color: #f87171; padding: 20px;"> {error}</div>',
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"",
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_format_agent_log(result.get("processing_log", [])),
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""
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html = f"""
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<div style="padding: 16px; font-family: Inter, sans-serif;">
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| 227 |
<div style="display: flex; align-items: center; gap: 12px; margin-bottom: 12px;">
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+
<span style="font-size: 1.5em;">{'Good' if confidence >= 0.7 else 'Bad' if confidence >= 0.5 else 'Failed'}</span>
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<div>
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<div style="font-weight: 600; font-size: 1.1em; color: {color};">
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{quality.upper()} Quality β {conf_pct}% Confidence
|
|
|
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<div class="confidence-fill" style="width: {conf_pct}%; background: {color};"></div>
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| 240 |
</div>
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| 241 |
<div style="display: grid; grid-template-columns: 1fr 1fr; gap: 8px; margin-top: 12px; font-size: 0.85em; color: #94a3b8;">
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| 242 |
+
<div>Resolution: {props.get('width', '?')}Γ{props.get('height', '?')}</div>
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+
<div>DPI: {props.get('resolution_dpi', '?')}</div>
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| 244 |
+
<div>Contrast: {props.get('contrast_score', 0):.0%}</div>
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+
<div>Noise: {props.get('noise_level', 0):.0%}</div>
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</div>
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{'<div style="margin-top: 12px; padding: 8px; background: rgba(251, 191, 36, 0.1); border-radius: 8px; color: #fbbf24; font-size: 0.85em;">β οΈ Low confidence β consider reviewing the extracted text before downloading.</div>' if result.get("needs_human_review") else ''}
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</div>
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|
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lines = []
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| 259 |
step_icons = {
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+
"perceive": "",
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| 261 |
+
"analyze": "",
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| 262 |
+
"decide": "",
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| 263 |
+
"act": "",
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| 264 |
+
"learn": "",
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}
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for entry in log:
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# Header
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| 349 |
gr.HTML("""
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| 350 |
<div class="header-banner">
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| 351 |
+
<h1>RayXar - Image2Word Converter</h1>
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| 352 |
<p>AI-powered document conversion with adaptive OCR, intelligent formatting, and learning memory</p>
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| 353 |
</div>
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""")
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with gr.Tabs() as tabs:
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| 357 |
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# ββ Tab 1: Converter ββββββββββββββββββββββββββββββββββββββββββ
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+
with gr.TabItem("Convert", id="convert-tab"):
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| 360 |
with gr.Row(equal_height=False):
|
| 361 |
|
| 362 |
# Left Column β Input & Settings
|
| 363 |
with gr.Column(scale=1):
|
| 364 |
img_input = gr.Image(
|
| 365 |
type="filepath",
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| 366 |
+
label="Upload Image",
|
| 367 |
height=300,
|
| 368 |
sources=["upload", "clipboard"],
|
| 369 |
)
|
|
|
|
| 383 |
)
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| 384 |
|
| 385 |
btn_convert = gr.Button(
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| 386 |
+
"Convert with Agent",
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| 387 |
variant="primary",
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| 388 |
size="lg",
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| 389 |
)
|
|
|
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| 397 |
# Right Column β Output
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| 398 |
with gr.Column(scale=1):
|
| 399 |
with gr.Tabs():
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| 400 |
+
with gr.TabItem("Preview"):
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| 401 |
preview_output = gr.HTML(
|
| 402 |
value='<div style="padding: 40px; color: #94a3b8; text-align: center; font-style: italic;">Document preview will appear here...</div>',
|
| 403 |
label="Document Preview",
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| 404 |
)
|
| 405 |
|
| 406 |
+
with gr.TabItem("Raw Text"):
|
| 407 |
text_output = gr.Textbox(
|
| 408 |
label="Extracted Text (Editable)",
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| 409 |
lines=12,
|
|
|
|
| 412 |
info="Edit text here before generating the final document",
|
| 413 |
)
|
| 414 |
|
| 415 |
+
with gr.TabItem("Agent Log"):
|
| 416 |
agent_log = gr.Textbox(
|
| 417 |
label="Agent Decision Log",
|
| 418 |
lines=12,
|
|
|
|
| 433 |
)
|
| 434 |
|
| 435 |
# ββ Tab 2: Memory & History βββββββββββββββββββββββββββββββββββ
|
| 436 |
+
with gr.TabItem("History & Memory", id="history-tab"):
|
| 437 |
gr.HTML("""
|
| 438 |
<div style="padding: 12px 0;">
|
| 439 |
+
<h3 style="margin: 0; color: #e2e8f0;">Agent Memory</h3>
|
| 440 |
<p style="color: #94a3b8; margin: 4px 0 0;">
|
| 441 |
The agent learns from each document it processes, adapting its preprocessing
|
| 442 |
and formatting decisions based on past results.
|
|
|
|
| 444 |
</div>
|
| 445 |
""")
|
| 446 |
history_display = gr.HTML(value=get_history_html())
|
| 447 |
+
btn_refresh = gr.Button("Refresh History", size="sm")
|
| 448 |
btn_refresh.click(fn=get_history_html, outputs=[history_display])
|
| 449 |
|
| 450 |
# ββ Tab 3: About ββββββββββββββββββββββββββββββββββββββββββββββ
|
| 451 |
+
with gr.TabItem("About", id="about-tab"):
|
| 452 |
gr.HTML("""
|
| 453 |
<div style="padding: 20px; line-height: 1.8;">
|
| 454 |
<h2 style="color: #e2e8f0;">Agentic Image2Word Converter</h2>
|
|
|
|
| 457 |
Word documents using an <b>agentic AI architecture</b>.
|
| 458 |
</p>
|
| 459 |
|
| 460 |
+
<h3 style="color: #818cf8; margin-top: 20px;">Architecture</h3>
|
| 461 |
<div style="display: grid; grid-template-columns: repeat(5, 1fr); gap: 8px; margin: 12px 0;">
|
| 462 |
<div style="background: rgba(99,102,241,0.1); padding: 12px; border-radius: 8px; text-align: center;">
|
| 463 |
+
<div style="font-size: 1.5em;"></div>
|
| 464 |
<div style="font-weight: 600; color: #e2e8f0;">Perceive</div>
|
| 465 |
<div style="font-size: 0.75em; color: #94a3b8;">Analyze image</div>
|
| 466 |
</div>
|
| 467 |
<div style="background: rgba(99,102,241,0.1); padding: 12px; border-radius: 8px; text-align: center;">
|
| 468 |
+
<div style="font-size: 1.5em;"></div>
|
| 469 |
<div style="font-weight: 600; color: #e2e8f0;">Analyze</div>
|
| 470 |
<div style="font-size: 0.75em; color: #94a3b8;">Run OCR</div>
|
| 471 |
</div>
|
| 472 |
<div style="background: rgba(99,102,241,0.1); padding: 12px; border-radius: 8px; text-align: center;">
|
| 473 |
+
<div style="font-size: 1.5em;"></div>
|
| 474 |
<div style="font-weight: 600; color: #e2e8f0;">Decide</div>
|
| 475 |
<div style="font-size: 0.75em; color: #94a3b8;">Format text</div>
|
| 476 |
</div>
|
| 477 |
<div style="background: rgba(99,102,241,0.1); padding: 12px; border-radius: 8px; text-align: center;">
|
| 478 |
+
<div style="font-size: 1.5em;"></div>
|
| 479 |
<div style="font-weight: 600; color: #e2e8f0;">Act</div>
|
| 480 |
<div style="font-size: 0.75em; color: #94a3b8;">Generate DOCX</div>
|
| 481 |
</div>
|
| 482 |
<div style="background: rgba(99,102,241,0.1); padding: 12px; border-radius: 8px; text-align: center;">
|
| 483 |
+
<div style="font-size: 1.5em;"></div>
|
| 484 |
<div style="font-weight: 600; color: #e2e8f0;">Learn</div>
|
| 485 |
<div style="font-size: 0.75em; color: #94a3b8;">Save memory</div>
|
| 486 |
</div>
|
| 487 |
</div>
|
| 488 |
|
| 489 |
+
<h3 style="color: #818cf8; margin-top: 20px;">Technology Stack</h3>
|
| 490 |
<table style="width: 100%; color: #e2e8f0; border-collapse: collapse; margin: 12px 0;">
|
| 491 |
<tr style="border-bottom: 1px solid #1e293b;">
|
| 492 |
<td style="padding: 8px; font-weight: 600;">OCR Engine</td>
|
|
|
|
| 510 |
</tr>
|
| 511 |
</table>
|
| 512 |
|
| 513 |
+
<h3 style="color: #818cf8; margin-top: 20px;">Ethical Design</h3>
|
| 514 |
<ul style="color: #94a3b8;">
|
| 515 |
<li><b>Privacy:</b> All processing is done server-side; no data is shared externally.</li>
|
| 516 |
<li><b>Transparency:</b> Full agent decision log visible in real-time.</li>
|