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bad01a8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | """
Example script demonstrating the Hybrid LLM Hallucination Detection System
"""
from analyzer import HallucinationAnalyzer
def run_example():
"""
Run a simple example analysis.
"""
print("Initializing Hybrid LLM Hallucination Detection System...")
print("This may take a moment on first run (downloading models)...\n")
# Initialize analyzer — ground truth is loaded automatically from TruthfulQA
analyzer = HallucinationAnalyzer(
model_name="gpt2",
semantic_threshold=0.80 # adjust if prompts don't match dataset questions
)
# Example prompt from ground truth
prompt = "What is the capital of France?"
# Run analysis
results = analyzer.analyze(
prompt=prompt,
num_responses=5,
max_length=30,
temperature=0.8
)
# Print summary
analyzer.print_summary(results)
# Show entropy plot
print("\nDisplaying entropy curve...")
plt = analyzer.plot_entropy_curve(results['entropy']['entropy_curve'])
plt.savefig('example_entropy_curve.png', dpi=300, bbox_inches='tight')
print("Entropy curve saved to 'example_entropy_curve.png'")
print("\n" + "="*80)
print("Example complete!")
print("="*80)
print("\nTo run the Streamlit UI, use: streamlit run app.py")
print("To run custom prompts, use: python main.py --prompt \"Your question here\"")
if __name__ == "__main__":
run_example()
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