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"""
Demo script showing how to use the enhanced upload.py with SmoLagent AI
================================================================
This script demonstrates the new AI-powered data analysis capabilities
"""
from upload import EnhancedDataExplorer, load_and_explore_data
def demo_enhanced_features():
"""Demonstrate the enhanced features"""
print("🚀 ENHANCED DATA EXPLORER DEMO")
print("=" * 50)
# Initialize the enhanced explorer
explorer = EnhancedDataExplorer()
print("\n1. Loading data...")
explorer.load_data()
print("\n2. Analyzing data quality...")
quality_report = explorer.analyze_data_quality()
print("\n3. Creating visualizations...")
explorer.create_visualizations()
print("\n4. AI Analysis examples (requires model configuration):")
example_queries = [
"What are the main patterns in this dataset?",
"Identify any data quality issues",
"Suggest preprocessing steps",
"Find correlations between variables",
"Detect outliers and anomalies"
]
for i, query in enumerate(example_queries, 1):
print(f" {i}. {query}")
print("\n💡 To enable AI analysis:")
print(" 1. Get an API key (OpenAI, Hugging Face, etc.)")
print(" 2. Uncomment the appropriate lines in setup_agent() method")
print(" 3. Run the interactive menu with option 2")
def demo_original_function():
"""Demonstrate the original function (preserved)"""
print("📊 ORIGINAL FUNCTION DEMO")
print("=" * 30)
df = load_and_explore_data()
print(f"\n✅ Original function completed. Data shape: {df.shape if df is not None else 'Failed to load'}")
if __name__ == "__main__":
print("Choose demo mode:")
print("1. Enhanced features demo")
print("2. Original function demo")
print("3. Both")
choice = input("Enter choice (1-3): ").strip()
if choice == "1":
demo_enhanced_features()
elif choice == "2":
demo_original_function()
elif choice == "3":
demo_original_function()
print("\n" + "="*60 + "\n")
demo_enhanced_features()
else:
print("Invalid choice. Running enhanced demo...")
demo_enhanced_features()
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