import matplotlib.pyplot as plt
import numpy as np

def create_prediction_plot(top_preds):
    """Create a horizontal bar chart of predictions"""
    labels = [label for label, _ in top_preds]
    probs = [prob for _, prob in top_preds]
    
    # Create figure
    fig, ax = plt.subplots(figsize=(10, 6))
    
    # Create horizontal bar chart
    y_pos = np.arange(len(labels))
    colors = plt.cm.RdYlGn(np.array(probs))  # Color based on confidence
    
    ax.barh(y_pos, probs, color=colors, alpha=0.8)
    ax.set_yticks(y_pos)
    ax.set_yticklabels(labels)
    ax.invert_yaxis()  # Top prediction at the top
    ax.set_xlabel('Confidence Score', fontsize=12)
    ax.set_title('Top Disease Predictions', fontsize=14, fontweight='bold')
    ax.set_xlim([0, 1])
    
    # Add value labels on bars
    for i, (label, prob) in enumerate(zip(labels, probs)):
        ax.text(prob + 0.01, i, f'{prob:.3f}', 
                va='center', fontsize=10)
    
    plt.tight_layout()
    return fig