app.py

import gradio as gr
import pdfplumber
import matplotlib.pyplot as plt
import numpy as np
from word2number import w2n
import re
from typing import Tuple, List, Dict
from io import BytesIO
import base64

# Custom CSS for styling
css = """
:root {
    --low-color: #28a745;
    --medium-color: #ffc107;
    --high-color: #dc3545;
    --inactive-color: #e9ecef;
}
.risk-container {
    display: flex;
    flex-direction: column;
    gap: 12px;
    margin-bottom: 25px;
}
.risk-row {
    display: flex;
    align-items: center;
    background: white;
    border-radius: 8px;
    padding: 15px;
    box-shadow: 0 2px 4px rgba(0,0,0,0.1);
    transition: all 0.3s ease;
}
.risk-row.active {
    transform: scale(1.02);
    box-shadow: 0 4px 8px rgba(0,0,0,0.15);
}
.risk-label {
    width: 100px;
    font-weight: 600;
    font-size: 16px;
    color: #495057;
}
.risk-score {
    width: 80px;
    font-size: 20px;
    font-weight: 700;
    text-align: center;
}
.risk-low { color: var(--low-color); }
.risk-medium { color: var(--medium-color); }
.risk-high { color: var(--high-color); }
.heatmap-container {
    flex-grow: 1;
    height: 30px;
    border-radius: 15px;
    overflow: hidden;
    position: relative;
}
.heatmap-bar {
    height: 100%;
    border-radius: 15px;
    transition: width 0.5s ease;
}
.risk-meter {
    position: absolute;
    right: 10px;
    top: 50%;
    transform: translateY(-50%);
    font-size: 12px;
    font-weight: 600;
    color: white;
    text-shadow: 0 1px 2px rgba(0,0,0,0.3);
}
.result-section {
    background: white;
    border-radius: 8px;
    padding: 20px;
    margin-bottom: 20px;
    box-shadow: 0 2px 4px rgba(0,0,0,0.1);
}
.result-title {
    font-size: 18px;
    font-weight: 600;
    margin-bottom: 15px;
    color: #343a40;
    display: flex;
    align-items: center;
    gap: 8px;
}
.clause-item {
    margin-bottom: 8px;
    padding-left: 15px;
    position: relative;
}
.clause-item:before {
    content: "•";
    position: absolute;
    left: 0;
    color: #6c757d;
}
.penalty-amount {
    font-family: monospace;
    background: #f8f9fa;
    padding: 2px 6px;
    border-radius: 4px;
    margin-left: 5px;
}
.example-clause {
    background: #f8f9fa;
    padding: 12px;
    border-radius: 6px;
    margin-bottom: 10px;
    border-left: 3px solid #6c757d;
}
.example-number {
    font-weight: 600;
    margin-right: 8px;
    color: #6c757d;
}
"""

def extract_text_from_pdf(pdf_path: str) -> str:
    """Extract text from PDF using pdfplumber"""
    text = ""
    with pdfplumber.open(pdf_path) as pdf:
        for page in pdf.pages:
            text += page.extract_text() or ""
    return text

def count_keywords(text: str, keywords: List[str]) -> Dict[str, int]:
    """Count occurrences of keywords in text"""
    counts = {}
    for keyword in keywords:
        counts[keyword] = len(re.findall(r'\b' + re.escape(keyword) + r'\b', text, flags=re.IGNORECASE))
    return counts

def find_penalty_values(text: str) -> List[float]:
    """Find penalty amounts in the text"""
    patterns = [
        r'\$\s*[\d,]+(?:\.\d+)?',
        r'(?:USD|usd)\s*[\d,]+(?:\.\d+)?',
        r'\d+\s*(?:percent|%)',
        r'(?:\b[a-z]+\s*)+dollars',
    ]
    
    penalties = []
    for pattern in patterns:
        matches = re.finditer(pattern, text, flags=re.IGNORECASE)
        for match in matches:
            penalty_text = match.group()
            try:
                if any(word in penalty_text.lower() for word in ['one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight', 'nine', 'ten', 'hundred', 'thousand', 'million']):
                    penalty_value = w2n.word_to_num(penalty_text.split('dollars')[0].strip())
                else:
                    penalty_value = float(re.sub(r'[^\d.]', '', penalty_text))
                penalties.append(penalty_value)
            except:
                continue
    return penalties

def calculate_risk_score(penalty_count: int, penalty_values: List[float], obligation_count: int, delay_count: int) -> Tuple[float, str]:
    """Calculate risk score based on various factors"""
    score = 0
    score += min(penalty_count * 5, 30)
    
    if penalty_values:
        avg_penalty = sum(penalty_values) / len(penalty_values)
        if avg_penalty > 1000000:
            score += 40
        elif avg_penalty > 100000:
            score += 25
        elif avg_penalty > 10000:
            score += 15
        else:
            score += 5
    
    score += min(obligation_count * 2, 20)
    score += min(delay_count * 10, 30)
    score = min(score, 100)
    
    if score < 30:
        return score, "Low"
    elif score < 70:
        return score, "Medium"
    else:
        return score, "High"

def create_risk_display(risk_score: float, risk_level: str) -> str:
    """Create HTML display for all three risk levels"""
    risk_levels = ["Low", "Medium", "High"]
    colors = {
        "Low": "var(--low-color)",
        "Medium": "var(--medium-color)",
        "High": "var(--high-color)"
    }
    
    html_parts = []
    html_parts.append("<div class='risk-container'>")
    
    for level in risk_levels:
        active = level == risk_level
        score = risk_score if active else 0
        color = colors[level] if active else "var(--inactive-color)"
        opacity = "1" if active else "0.6"
        
        html_parts.append(f"""
        <div class='risk-row {'active' if active else ''}'>
            <div class='risk-label risk-{level.lower()}'>{level} Risk</div>
            <div class='risk-score risk-{level.lower()}'>{score:.1f}%</div>
            <div class='heatmap-container'>
                <div class='heatmap-bar" 
                     style="width: {score}%; background: {color}; opacity: {opacity}">
                    <span class='risk-meter'>{score:.1f}%</span>
                </div>
            </div>
        </div>
        """)
    
    html_parts.append("</div>")
    return "\n".join(html_parts)

def format_clauses(counts: Dict[str, int]) -> str:
    """Format clause counts into HTML"""
    return "\n".join([f"<div class='clause-item'>{kw}: <strong>{count}</strong></div>" for kw, count in counts.items()])

def format_penalty_amounts(amounts: List[float]) -> str:
    """Format penalty amounts into HTML"""
    if not amounts:
        return "<div style='color: #6c757d;'>No specific penalty amounts found</div>"
    return "\n".join([f"<div class='clause-item'><span class='penalty-amount'>${amt:,.2f}</span></div>" for amt in amounts[:5]])

def format_examples(sentences: List[str]) -> str:
    """Format example sentences into HTML"""
    if not sentences:
        return "<div style='color: #6c757d;'>No penalty clauses found</div>"
    return "\n".join([f"""
    <div class='example-clause'>
        <span class='example-number'>{i+1}.</span> {sent}
    </div>
    """ for i, sent in enumerate(sentences[:3])])

def analyze_pdf(file_obj) -> List:
    """Main analysis function for Gradio interface"""
    try:
        # Extract text from the uploaded file
        text = extract_text_from_pdf(file_obj.name)
        
        # Define keywords to search for
        penalty_keywords = ["penalty", "fine", "forfeit", "liquidated damages", "breach"]
        obligation_keywords = ["shall", "must", "required to", "obligated to", "duty"]
        delay_keywords = ["delay", "late", "overdue", "extension", "time is of the essence"]
        
        # Count keyword occurrences
        penalty_counts = count_keywords(text, penalty_keywords)
        obligation_counts = count_keywords(text, obligation_keywords)
        delay_counts = count_keywords(text, delay_keywords)
        
        # Find penalty values
        penalty_values = find_penalty_values(text)
        
        # Calculate total counts
        total_penalties = sum(penalty_counts.values())
        total_obligations = sum(obligation_counts.values())
        total_delays = sum(delay_counts.values())
        
        # Calculate risk score
        risk_score, risk_level = calculate_risk_score(
            total_penalties, penalty_values, total_obligations, total_delays
        )
        
        # Generate risk display
        risk_display = create_risk_display(risk_score, risk_level)
        
        # Find example sentences with penalties
        penalty_sentences = []
        for sentence in re.split(r'(?<=[.!?])\s+', text):
            if any(kw.lower() in sentence.lower() for kw in penalty_keywords):
                penalty_sentences.append(sentence.strip())
        
        # Format all results
        penalty_html = f"""
        <div class='result-section'>
            <div class='result-title'>📊 Penalty Clauses: <strong>{total_penalties}</strong> found</div>
            {format_clauses(penalty_counts)}
        </div>
        """
        
        amounts_html = f"""
        <div class='result-section'>
            <div class='result-title'>💰 Penalty Amounts: <strong>{len(penalty_values)}</strong> found</div>
            {format_penalty_amounts(penalty_values)}
        </div>
        """
        
        obligation_html = f"""
        <div class='result-section'>
            <div class='result-title'>⚖️ Obligation Clauses: <strong>{total_obligations}</strong> found</div>
            {format_clauses(obligation_counts)}
        </div>
        """
        
        delay_html = f"""
        <div class='result-section'>
            <div class='result-title'>⏱️ Delay Clauses: <strong>{total_delays}</strong> found</div>
            {format_clauses(delay_counts)}
        </div>
        """
        
        examples_html = f"""
        <div class='result-section'>
            <div class='result-title'>🔍 Example Penalty Clauses</div>
            {format_examples(penalty_sentences)}
        </div>
        """
        
        return [
            risk_display,
            penalty_html,
            amounts_html,
            obligation_html,
            delay_html,
            examples_html
        ]
    except Exception as e:
        error_html = f"""
        <div class='result-section' style='background: #fff3cd;'>
            <div class='result-title'>❌ Error</div>
            <div>{str(e)}</div>
        </div>
        """
        return [error_html] * 6

# Create Gradio interface
with gr.Blocks(css=css, title="PDF Contract Risk Analyzer") as demo:
    gr.Markdown("""
    <div style='text-align: center; margin-bottom: 30px;'>
        <h1 style='margin-bottom: 10px;'>📄 PDF Contract Risk Analyzer</h1>
        <p style='color: #6c757d;'>Upload a contract PDF to analyze penalties, obligations, and delays</p>
    </div>
    """)
    
    with gr.Row():
        with gr.Column(scale=1):
            file_input = gr.File(label="Upload PDF", file_types=[".pdf"])
            submit_btn = gr.Button("Analyze Contract", variant="primary")
        
        with gr.Column(scale=3):
            gr.Markdown("### 🔍 Risk Assessment Summary")
            risk_display = gr.HTML()
    
    with gr.Row():
        with gr.Column():
            penalty_count = gr.HTML()
            penalty_amounts = gr.HTML()
        
        with gr.Column():
            obligation_count = gr.HTML()
            delay_count = gr.HTML()
    
    penalty_examples = gr.HTML()
    
    submit_btn.click(
        fn=analyze_pdf,
        inputs=file_input,
        outputs=[risk_display, penalty_count, penalty_amounts, 
                obligation_count, delay_count, penalty_examples]
    )

if __name__ == "__main__":
    demo.launch()