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---
title: AI Art Historian
emoji: 🎨
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.33.0
app_file: app.py
pinned: true
license: mit
short_description: Expert AI artwork analysis with historical insights
tags:
- agent-demo-track
---
# 🎨 AI Art Historian
**Expert-level artwork analysis powered by Microsoft Phi-3.5-Vision and SmolAgent Framework**
## 🚀 How to use
1. **Upload an artwork** - Supports JPG, PNG and other image formats
2. **Ask questions** (optional) - Get specific analysis on style, symbols, or history
3. **Get expert analysis** - Receive detailed art historical insights in seconds
### Core Components
#### 1. **Vision Agent** - Phi-3.5-Vision-Instruct
- Converts artwork images to detailed descriptions
- Identifies visual elements, colors, composition, style indicators
#### 2. **Analysis Agent** - SmolAgent Framework
- Processes descriptions using specialized art tools
- Multi-step reasoning for comprehensive analysis
- Fallback system for reliability
## 🔧 Specialized Tools
### 🎨 Style Detector
```python
@tool
def art_style_detector(visual_description: str) -> str:
"""Identifies artistic movements and styles"""
```
**Detects**: Renaissance, Baroque, Impressionism, Expressionism, Cubism, Surrealism, Abstract, Pop Art, Minimalism
### 📚 Historical Context Provider
```python
@tool
def historical_context_provider(art_period: str) -> str:
"""Provides historical and cultural context"""
```
**Includes**: Time periods, key artists, cultural influences, movement characteristics
### 🔍 Symbolism Interpreter
```python
@tool
def symbolism_interpreter(visual_elements: str) -> str:
"""Decodes symbolic meanings in artwork"""
```
**Analyzes**: Colors (red, blue, gold), Objects (crown, flowers, skull), Religious symbols (cross, dove)
## ⚡ Processing Workflow
1. **Image Analysis**: Phi-3.5-Vision describes artwork details
2. **Agent Reasoning**: SmolAgent processes description using tools:
- Style detection from visual cues
- Historical context for identified period
- Symbol interpretation from elements
3. **Structured Output**: Comprehensive art historical analysis
## 🛡️ Robust Design
- **Dual Processing**: Vision model + reasoning agent
- **Fallback System**: Direct tool usage if agent fails
- **GPU Optimization**: Fast image processing
- **Dark Theme**: Eye-friendly interface
## 🙏 Acknowledgements
Made with ❤️ by **Gizem Sarsinlar** ([@gizemsarsinlar](https://huggingface.co/gizemsarsinlar))
## 🎥 Demo Video
Watch the full project walkthrough and live demonstration:
[](https://youtu.be/xyNKr05Vvls?si=OmHjtOfBez2FjOTv)
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