Spaces:
Running
feat: Add comprehensive CLAUDE.md for HuggingFace Space deployment
Browse filesπ― **HF Space-Specific Documentation**:
- Deployment-focused commands and workflows
- HF Space environment setup and testing procedures
- Advanced testing infrastructure documentation
- Production deployment status and capabilities
π **Key Sections**:
- HF Space development commands optimized for deployment environment
- File synchronization workflows with main repository
- Architecture overview with HF Space-specific optimizations
- Advanced testing infrastructure documentation (Priority 1 features)
- Dependency management and graceful fallbacks
- Memory optimization and resource constraints
π **Production Context**:
- Live deployment URL and status
- 85% accuracy achievement documentation
- Recent Priority 1 enhancements summary
- Development workflow best practices for HF Space
This provides Claude Code with comprehensive guidance when working
specifically within the HuggingFace Space deployment context.
π€ Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
@@ -0,0 +1,262 @@
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1 |
+
# CLAUDE.md - HuggingFace Space Deployment
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This file provides guidance to Claude Code (claude.ai/code) when working with the **HuggingFace Space deployment** of the GAIA Solver.
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## π PRODUCTION DEPLOYMENT STATUS
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**β
LIVE HUGGING FACE SPACE**: https://huggingface.co/spaces/tonthatthienvu/Final_Assignment
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**π― Achievement**: 85% accuracy GAIA Agent successfully deployed to production
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**π Key Features**:
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- Production-ready Gradio interface with Advanced GAIA Agent
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- 42 specialized tools for research, chess, Excel, and multimedia processing
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- Multi-agent classification system with intelligent question routing
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- Real-time progress tracking and comprehensive error handling
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- Perfect accuracy on chess (Rd5), Excel ($89,706.00), Wikipedia (FunkMonk)
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**π Performance**: 85% overall accuracy (17/20 correct on GAIA benchmark)
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## HuggingFace Space Development Commands
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**Environment Setup:**
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```bash
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# Navigate to HF Space directory
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cd /Users/tttv/github/GAIA_Solver/huggingface_space
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# Check current space status
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git status
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git log --oneline -3
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# Test core functionality (basic check)
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python3 -c "from main import GAIASolver; print('β
Core GAIASolver available')"
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python3 -c "from async_complete_test_hf import HFAsyncGAIATestSystem; print('β
Advanced testing available')"
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```
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**Running the HF Space Locally:**
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```bash
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# Install dependencies for local testing
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pip install gradio python-dotenv litellm smolagents
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# Run the Gradio interface locally
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python app.py
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# Test individual components
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python -c "from gaia_tools import GAIA_TOOLS; print(f'Available tools: {len(GAIA_TOOLS)}')"
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```
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**Testing Commands (Space-Optimized):**
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```bash
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# Test advanced infrastructure
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python3 -c "from async_complete_test import AsyncGAIATestSystem; print('β
Advanced system available')"
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# Test HF-specific integration
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python3 -c "from async_complete_test_hf import run_hf_comprehensive_test; print('β
HF integration ready')"
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# Test question classification
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python3 -c "from question_classifier import QuestionClassifier; c = QuestionClassifier(); print('β
Classifier ready')"
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# Test specific question processing
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python3 tests/test_specific_question.py <question_id> # If tests directory exists
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```
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**π HuggingFace Space Deployment:**
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```bash
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# Standard deployment workflow
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git add .
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git commit -m "feat: Update GAIA Agent with latest improvements"
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git push origin main
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# The space automatically rebuilds and deploys (2-3 minutes)
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# Live URL: https://huggingface.co/spaces/tonthatthienvu/Final_Assignment
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# Check deployment status
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curl -s https://huggingface.co/spaces/tonthatthienvu/Final_Assignment | grep -i "building\|running"
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```
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**File Synchronization with Main Repository:**
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```bash
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# Copy latest improvements from main repo to space
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cp /Users/tttv/github/GAIA_Solver/main.py .
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cp /Users/tttv/github/GAIA_Solver/gaia_tools.py .
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cp /Users/tttv/github/GAIA_Solver/question_classifier.py .
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# Copy advanced testing infrastructure
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cp /Users/tttv/github/GAIA_Solver/async_complete_test.py .
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cp /Users/tttv/github/GAIA_Solver/async_question_processor.py .
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cp /Users/tttv/github/GAIA_Solver/classification_analyzer.py .
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cp /Users/tttv/github/GAIA_Solver/summary_report_generator.py .
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# Copy supporting files
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cp /Users/tttv/github/GAIA_Solver/universal_fen_correction.py .
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cp /Users/tttv/github/GAIA_Solver/enhanced_wikipedia_tools.py .
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cp /Users/tttv/github/GAIA_Solver/wikipedia_featured_articles_by_date.py .
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```
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## Architecture Overview (HF Space-Specific)
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### Multi-Agent Classification System
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The HF Space deployment uses the same **LLM-based question classification** with HF Space optimizations:
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**Core Components:**
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- `QuestionClassifier` (question_classifier.py) - Uses Qwen2.5-7B with fallback to rule-based classification
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- `GAIASolver` (main.py) - Main solver with enhanced error handling for HF Space environment
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- `GAIA_TOOLS` (gaia_tools.py) - 42 specialized tools with graceful dependency fallbacks
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**HF Space Optimizations:**
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- **Dependency Fallbacks**: Graceful handling of missing dependencies (google.generativeai, etc.)
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- **Memory Management**: Session cleanup after comprehensive testing
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- **Resource Limits**: Optimized concurrent processing (2-3 max vs 5 in source)
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- **Error Recovery**: Enhanced error handling for HF Space constraints
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### Advanced Testing Infrastructure (New!)
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**β
Priority 1 Enhancements Deployed:**
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- `AsyncGAIATestSystem` - Full async testing with honest accuracy measurement
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- `HFAsyncGAIATestSystem` - HF Space-optimized version with auto-fallback
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- `ClassificationAnalyzer` - Performance analysis by question type
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- `SummaryReportGenerator` - Comprehensive reporting with improvement recommendations
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**Testing Modes:**
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1. **Advanced Mode** (when all dependencies available):
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- Uses `AsyncGAIATestSystem` for full functionality
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- Honest accuracy measurement (no hardcoded overrides)
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- Classification-based performance analysis
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- Tool effectiveness ranking
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- Improvement recommendations
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2. **Basic Mode** (fallback):
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- Uses simplified testing infrastructure
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- Standard accuracy measurement
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- Basic progress tracking
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### HF Space-Specific Features
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**Production Interface (app.py):**
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- **Real-time Testing Mode Indicators**: Shows whether Advanced or Basic testing is active
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- **Enhanced Progress Tracking**: Live updates with detailed analytics
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- **Classification Performance**: Shows accuracy per question type (research, multimedia, chess, etc.)
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- **Tool Effectiveness**: Top 5 performing tools with success rates
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- **Memory Management**: Automatic cleanup after testing sessions
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**Dependency Management:**
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- **Graceful Degradation**: Missing dependencies don't break the system
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- **Smart Fallbacks**: Automatic fallback to simpler alternatives
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- **Error Recovery**: Comprehensive error handling for HF Space environment
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## Key Implementation Details (HF Space)
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**Enhanced Error Handling:**
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```python
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# Example: Graceful handling of missing dependencies
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try:
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import google.generativeai as genai
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GEMINI_AVAILABLE = True
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except ImportError:
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GEMINI_AVAILABLE = False
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genai = None
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# Tools check availability before execution
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if not GEMINI_AVAILABLE:
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return "Error: Gemini Vision API not available for image analysis"
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```
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**Memory Optimization:**
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```python
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def _cleanup_session(self):
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"""Clean up session resources for memory management."""
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# Clean up temporary files
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# Force garbage collection
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# Optimize for HF Space resource constraints
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```
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**Advanced vs Basic Testing Auto-Detection:**
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```python
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# Automatically uses advanced testing when available
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if ADVANCED_TESTING and self.advanced_system:
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return await self._run_advanced_test(question_limit)
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else:
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return await self._run_basic_test(question_limit)
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```
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## Environment Requirements (HF Space)
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**Required for Full Functionality:**
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- GEMINI_API_KEY (for image/video analysis and fallback reasoning)
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- HUGGINGFACE_TOKEN (for question classification model)
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- KLUSTER_API_KEY (optional, for Qwen 3-235B via Kluster.ai)
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**HF Space Dependencies:**
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- gradio (for web interface)
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- python-dotenv (for environment variables)
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- litellm (for model integration)
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- smolagents (for agent framework)
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**Optional Dependencies (with fallbacks):**
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- google-generativeai (for Gemini Vision - graceful fallback if missing)
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- pandas + openpyxl (for Excel processing - error messages if missing)
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**Deployment Constraints:**
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- **Memory**: Optimized for HF Space memory limits
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- **Concurrency**: Limited to 2-3 concurrent questions vs 5 in source
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- **Timeout**: 10-30 minutes per question vs longer timeouts in source
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- **Storage**: Uses /tmp for temporary files
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## Current Status & Capabilities
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### π **Recently Enhanced (Priority 1 Complete):**
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+
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+
**β
Advanced Testing Infrastructure:**
|
211 |
+
- Full async testing system deployed
|
212 |
+
- Honest accuracy measurement active
|
213 |
+
- Classification-based performance analysis
|
214 |
+
- Real-time progress tracking with mode indicators
|
215 |
+
|
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+
**β
Production Optimizations:**
|
217 |
+
- Memory management and session cleanup
|
218 |
+
- Graceful dependency fallbacks
|
219 |
+
- Enhanced error handling for HF Space environment
|
220 |
+
- Resource-optimized concurrent processing
|
221 |
+
|
222 |
+
**β
Web Interface Enhancements:**
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+
- Testing mode indicators (Advanced vs Basic)
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+
- Classification performance insights
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+
- Tool effectiveness metrics
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- Improvement recommendations display
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+
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### System Performance (Live Deployment)
|
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+
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- **Chess Analysis**: β
**PERFECT ACCURACY** - Universal FEN correction with multi-tool consensus
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231 |
+
- **Wikipedia Research**: β
**PERFECT ACCURACY** - Enhanced parsing and anti-hallucination safeguards
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+
- **Excel Processing**: β
**PERFECT ACCURACY** - Comprehensive spreadsheet analysis
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+
- **Video+Audio Analysis**: β
**ENHANCED** - Gemini 2.0 Flash integration for dialogue transcription
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- **Japanese Baseball Research**: β
**ENHANCED** - Hybrid anti-hallucination solution
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+
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### Deployment Status
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+
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**β
PRODUCTION READY**: Live at https://huggingface.co/spaces/tonthatthienvu/Final_Assignment
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- 85% GAIA benchmark accuracy
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+
- Advanced testing infrastructure active
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- Real-time progress tracking
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- Comprehensive error handling
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- Memory-optimized for HF Space environment
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## Development Workflow
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**Standard Development Cycle:**
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1. Make changes in `/Users/tttv/github/GAIA_Solver/huggingface_space/`
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2. Test locally (if dependencies available) or commit for HF testing
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3. `git add . && git commit -m "feat: Description"`
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4. `git push origin main`
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5. Monitor automatic rebuild at HF Space URL
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6. Verify functionality in live deployment
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+
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**Best Practices for HF Space:**
|
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- Always test import fallbacks for optional dependencies
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- Use resource-efficient concurrent processing
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- Implement proper cleanup after intensive operations
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- Provide clear error messages for missing dependencies
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- Monitor memory usage during testing operations
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+
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+
This HF Space deployment maintains the same 85% accuracy as the source repository while being optimized for the HuggingFace Space production environment.
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