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Update app.py
Browse files
app.py
CHANGED
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@@ -11,6 +11,7 @@ import base64
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from io import BytesIO
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import uuid
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import logging
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# Set up logging
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logging.basicConfig(level=logging.INFO)
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@@ -27,136 +28,236 @@ body {
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min-height: 100vh;
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margin: 0;
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padding: 0;
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font-family:
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}
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.gradio-container {
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background-color: rgba(
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border-radius:
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padding:
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margin: 20px;
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max-width:
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box-shadow: 0
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min-height: 90vh;
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border: 1px solid #1e90ff !important;
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}
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.risk-low { color: #28a745; font-weight: bold; }
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.risk-medium { color: #
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.risk-high { color: #
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.result-box {
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padding: 20px;
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border-radius:
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margin-bottom:
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background-color:
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border-left: 5px solid #1e90ff !important;
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}
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.penalty-box {
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padding:
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border-radius:
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margin-bottom:
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border-left: 5px solid #
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background-color:
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}
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.obligation-box {
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padding:
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border-radius:
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margin-bottom:
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border-left: 5px solid #
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background-color:
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}
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.delay-box {
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padding:
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border-radius:
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margin-bottom:
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border-left: 5px solid #
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background-color:
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}
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.combined-risk-container {
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display: flex;
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flex-direction: column;
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gap:
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margin-bottom:
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}
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.risk-row {
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display: flex;
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align-items: center;
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gap:
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padding:
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border-radius:
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background-color:
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border: 1px solid #
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}
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.risk-label {
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width:
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font-weight:
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font-size: 16px;
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color: #
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}
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.risk-score {
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width:
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font-size:
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text-align: center;
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}
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.heatmap-wrapper {
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flex-grow: 1;
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}
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.warning-box {
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padding:
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border-radius:
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margin:
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background-color:
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border-left: 5px solid #
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font-weight:
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}
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.danger-box {
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padding:
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border-radius:
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margin:
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background-color:
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border-left: 5px solid #
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font-weight:
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}
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.success-box {
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padding:
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border-radius:
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margin:
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background-color:
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border-left: 5px solid #
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font-weight:
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}
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.section-title {
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font-size:
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font-weight:
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margin-bottom:
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color: #1e4b8f !important;
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}
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.count-item {
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display: flex;
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justify-content: space-between;
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padding:
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border-bottom: 1px solid #
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}
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.count-label {
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font-weight:
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color: #
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}
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.count-value {
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color: #4169e1 !important;
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}
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button {
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background: linear-gradient(135deg, #1e90ff, #4169e1) !important;
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border: none !important;
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color: white !important;
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font-weight:
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}
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button:hover {
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background: linear-gradient(135deg, #4169e1, #1e90ff) !important;
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}
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.upload-area {
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border: 2px dashed #1e90ff !important;
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background-color: rgba(240, 248, 255, 0.7) !important;
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}
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.upload-area:hover {
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background-color: rgba(224, 255, 255, 0.7) !important;
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}
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/* Hide elements */
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footer, .gradio-footer, .hide, [data-testid="Use via API"], [data-testid="mmsettings"] {
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@@ -272,6 +373,34 @@ def calculate_risk_score(penalty_count: int, penalty_values: List[float], obliga
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else:
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return score, "High"
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def generate_heatmap(risk_level: str):
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"""Generate a simple heatmap based on risk level"""
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try:
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if risk_level == "Low":
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cmap = plt.cm.Blues
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elif risk_level == "Medium":
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cmap = plt.cm.Oranges
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else:
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cmap = plt.cm.Reds
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gradient = np.linspace(0, 1, 256).reshape(1, -1)
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gradient = np.vstack((gradient, gradient))
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def format_warning_message(count: int, item_type: str, emoji: str) -> str:
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"""Format warning message based on count with appropriate color coding"""
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if count == 0:
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return f"""<div class="success-box">β
{emoji} No {item_type} clauses detected -
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elif count < 5:
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return f"""<div class="warning-box">β οΈ {emoji} {count} {item_type} clauses detected - Review recommended</div>"""
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else:
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return f"""<div class="danger-box">π¨ {emoji} {count} {item_type} clauses detected - High Risk!</div>"""
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def analyze_pdf(file_obj) -> List:
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"""Main analysis function for Gradio interface"""
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try:
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heatmap = generate_heatmap(risk_level)
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except Exception as e:
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raise Exception(f"
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# Format details with warning messages and emojis
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penalty_details = f"""
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{penalty_warning}
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<div class='penalty-box'>
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<div class='section-title'>π° Penalty Clause Details</div>
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{"".join([f"<div class='count-item'><span class='count-label'>{kw}</span><span class='count-value'>{count}</span></div>" for kw, count in penalty_counts.items()])}
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</div>
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"""
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{obligation_warning}
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<div class='obligation-box'>
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<div class='section-title'>π Obligation Clause Details</div>
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{"".join([f"<div class='count-item'><span class='count-label'>{kw}</span><span class='count-value'>{count}</span></div>" for kw, count in obligation_counts.items()])}
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</div>
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"""
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{delay_warning}
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<div class='delay-box'>
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<div class='section-title'>β±οΈ Delay Clause Details</div>
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{"".join([f"<div class='count-item'><span class='count-label'>{kw}</span><span class='count-value'>{count}</span></div>" for kw, count in delay_counts.items()])}
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</div>
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"""
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penalty_amounts = "\n".join([f"<div class='count-item'><span class='count-label'>π° Amount</span><span class='count-value'>${amt:,.2f}</span></div>" for amt in penalty_values[:5]]) if penalty_values else "<div class='success-box'>β
No specific penalty amounts found</div>"
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penalty_sentences = []
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for sentence in re.split(r'(?<=[.!?])\s+', text):
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if any(kw.lower() in sentence.lower() for kw in penalty_keywords):
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penalty_sentences.append(sentence.strip())
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penalty_examples = "\n
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record_id = str(uuid.uuid4())
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sf_data = {
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logger.error(f"Salesforce record creation failed: {str(e)}")
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box_class = "success-box" if risk_level == "Low" else "warning-box" if risk_level == "Medium" else "danger-box"
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return [
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-
f"
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-
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-
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penalty_details,
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f"<div class='penalty-box'><div class='section-title'>π° Penalty Amounts</div>{penalty_amounts}</div>",
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obligation_details,
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delay_details,
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f"<div class='result-box'><div class='section-title'>π Example Penalty Clauses</div>{penalty_examples}</div>",
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f"
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]
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except Exception as e:
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logger.error(f"Analysis failed: {str(e)}")
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error_message = f"
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-
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# Create Gradio interface with blue theme and hidden elements
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with gr.Blocks(css=css, title="PDF Contract Risk Analyzer", theme=gr.themes.Default(primary_hue="blue")) as demo:
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gr.Markdown("""
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<div style='text-align: center;'>
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<h1 style='color: #1e4b8f;'>π PDF Contract Risk Analyzer</h1>
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<p style='color: #4169e1;
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</div>
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""")
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with gr.Row():
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with gr.Column(scale=1):
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file_input = gr.File(
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with gr.Column(scale=3):
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gr.
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risk_score = gr.HTML(label="Risk Score")
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risk_level = gr.HTML(label="Risk Level")
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heatmap = gr.Plot(label="Risk Heatmap", elem_classes="heatmap-wrapper")
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with gr.Row():
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with gr.Column():
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penalty_count = gr.HTML(label="
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penalty_amounts = gr.HTML(label="
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with gr.Column():
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obligation_count = gr.HTML(label="
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with gr.Column():
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delay_count = gr.HTML(label="
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with gr.Row():
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penalty_examples = gr.HTML(label="
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with gr.Row():
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submit_btn.click(
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fn=analyze_pdf,
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inputs=file_input,
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outputs=[
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-
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penalty_count, penalty_amounts,
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obligation_count, delay_count,
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penalty_examples,
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]
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)
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from io import BytesIO
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import uuid
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import logging
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import textwrap
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# Set up logging
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logging.basicConfig(level=logging.INFO)
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min-height: 100vh;
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margin: 0;
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padding: 0;
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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}
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.gradio-container {
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background-color: rgba(255, 255, 255, 0.97) !important;
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border-radius: 15px;
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padding: 25px;
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margin: 20px auto;
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max-width: 1200px;
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box-shadow: 0 8px 24px rgba(0,0,0,0.12);
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min-height: 90vh;
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border: 1px solid #1e90ff !important;
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}
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.risk-low { color: #28a745; font-weight: bold; }
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.risk-medium { color: #ff9800; font-weight: bold; }
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.risk-high { color: #f44336; font-weight: bold; }
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.result-box {
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padding: 20px;
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border-radius: 10px;
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margin-bottom: 25px;
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background-color: white;
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box-shadow: 0 2px 8px rgba(0,0,0,0.08);
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border-left: 5px solid #1e90ff !important;
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}
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.penalty-box {
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padding: 20px;
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border-radius: 10px;
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margin-bottom: 20px;
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border-left: 5px solid #f44336;
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background-color: white;
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box-shadow: 0 2px 8px rgba(0,0,0,0.08);
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}
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.obligation-box {
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padding: 20px;
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border-radius: 10px;
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margin-bottom: 20px;
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border-left: 5px solid #ff9800;
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background-color: white;
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box-shadow: 0 2px 8px rgba(0,0,0,0.08);
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}
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.delay-box {
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padding: 20px;
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border-radius: 10px;
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margin-bottom: 20px;
|
| 74 |
+
border-left: 5px solid #2196F3;
|
| 75 |
+
background-color: white;
|
| 76 |
+
box-shadow: 0 2px 8px rgba(0,0,0,0.08);
|
| 77 |
}
|
| 78 |
.combined-risk-container {
|
| 79 |
display: flex;
|
| 80 |
flex-direction: column;
|
| 81 |
+
gap: 15px;
|
| 82 |
+
margin-bottom: 25px;
|
| 83 |
+
background-color: white;
|
| 84 |
+
padding: 20px;
|
| 85 |
+
border-radius: 10px;
|
| 86 |
+
box-shadow: 0 2px 8px rgba(0,0,0,0.08);
|
| 87 |
}
|
| 88 |
.risk-row {
|
| 89 |
display: flex;
|
| 90 |
align-items: center;
|
| 91 |
+
gap: 20px;
|
| 92 |
+
padding: 15px;
|
| 93 |
+
border-radius: 8px;
|
| 94 |
+
background-color: #f8f9fa;
|
| 95 |
+
border: 1px solid #e0e0e0 !important;
|
| 96 |
+
transition: all 0.3s ease;
|
| 97 |
+
}
|
| 98 |
+
.risk-row:hover {
|
| 99 |
+
transform: translateY(-2px);
|
| 100 |
+
box-shadow: 0 4px 12px rgba(0,0,0,0.1);
|
| 101 |
}
|
| 102 |
.risk-label {
|
| 103 |
+
width: 150px;
|
| 104 |
+
font-weight: 600;
|
| 105 |
font-size: 16px;
|
| 106 |
+
color: #2c3e50 !important;
|
| 107 |
}
|
| 108 |
.risk-score {
|
| 109 |
+
width: 120px;
|
| 110 |
+
font-size: 20px;
|
| 111 |
text-align: center;
|
| 112 |
+
padding: 8px 12px;
|
| 113 |
+
border-radius: 6px;
|
| 114 |
}
|
| 115 |
.heatmap-wrapper {
|
| 116 |
flex-grow: 1;
|
| 117 |
+
margin-top: 15px;
|
| 118 |
}
|
| 119 |
.warning-box {
|
| 120 |
+
padding: 18px;
|
| 121 |
+
border-radius: 8px;
|
| 122 |
+
margin: 15px 0;
|
| 123 |
+
background-color: #fff3e0;
|
| 124 |
+
border-left: 5px solid #ff9800;
|
| 125 |
+
font-weight: 600;
|
| 126 |
+
box-shadow: 0 2px 8px rgba(0,0,0,0.05);
|
| 127 |
}
|
| 128 |
.danger-box {
|
| 129 |
+
padding: 18px;
|
| 130 |
+
border-radius: 8px;
|
| 131 |
+
margin: 15px 0;
|
| 132 |
+
background-color: #ffebee;
|
| 133 |
+
border-left: 5px solid #f44336;
|
| 134 |
+
font-weight: 600;
|
| 135 |
+
box-shadow: 0 2px 8px rgba(0,0,0,0.05);
|
| 136 |
}
|
| 137 |
.success-box {
|
| 138 |
+
padding: 18px;
|
| 139 |
+
border-radius: 8px;
|
| 140 |
+
margin: 15px 0;
|
| 141 |
+
background-color: #e8f5e9;
|
| 142 |
+
border-left: 5px solid #4CAF50;
|
| 143 |
+
font-weight: 600;
|
| 144 |
+
box-shadow: 0 2px 8px rgba(0,0,0,0.05);
|
| 145 |
+
}
|
| 146 |
+
.info-box {
|
| 147 |
+
padding: 18px;
|
| 148 |
+
border-radius: 8px;
|
| 149 |
+
margin: 15px 0;
|
| 150 |
+
background-color: #e3f2fd;
|
| 151 |
+
border-left: 5px solid #2196F3;
|
| 152 |
+
font-weight: 600;
|
| 153 |
+
box-shadow: 0 2px 8px rgba(0,0,0,0.05);
|
| 154 |
}
|
| 155 |
.section-title {
|
| 156 |
+
font-size: 22px;
|
| 157 |
+
font-weight: 700;
|
| 158 |
+
margin-bottom: 18px;
|
| 159 |
color: #1e4b8f !important;
|
| 160 |
+
display: flex;
|
| 161 |
+
align-items: center;
|
| 162 |
+
gap: 10px;
|
| 163 |
}
|
| 164 |
.count-item {
|
| 165 |
display: flex;
|
| 166 |
justify-content: space-between;
|
| 167 |
+
padding: 12px 0;
|
| 168 |
+
border-bottom: 1px solid #e0e0e0 !important;
|
| 169 |
+
transition: all 0.2s ease;
|
| 170 |
+
}
|
| 171 |
+
.count-item:hover {
|
| 172 |
+
background-color: #f5f5f5;
|
| 173 |
+
transform: translateX(5px);
|
| 174 |
}
|
| 175 |
.count-label {
|
| 176 |
+
font-weight: 600;
|
| 177 |
+
color: #2c3e50 !important;
|
| 178 |
+
display: flex;
|
| 179 |
+
align-items: center;
|
| 180 |
+
gap: 8px;
|
| 181 |
}
|
| 182 |
.count-value {
|
| 183 |
color: #4169e1 !important;
|
| 184 |
+
font-weight: 600;
|
| 185 |
+
font-size: 16px;
|
| 186 |
}
|
| 187 |
button {
|
| 188 |
background: linear-gradient(135deg, #1e90ff, #4169e1) !important;
|
| 189 |
border: none !important;
|
| 190 |
color: white !important;
|
| 191 |
+
font-weight: 600 !important;
|
| 192 |
+
padding: 12px 24px !important;
|
| 193 |
+
border-radius: 8px !important;
|
| 194 |
+
transition: all 0.3s ease !important;
|
| 195 |
+
box-shadow: 0 4px 6px rgba(0,0,0,0.1) !important;
|
| 196 |
}
|
| 197 |
button:hover {
|
| 198 |
background: linear-gradient(135deg, #4169e1, #1e90ff) !important;
|
| 199 |
+
transform: translateY(-2px) !important;
|
| 200 |
+
box-shadow: 0 6px 12px rgba(0,0,0,0.15) !important;
|
| 201 |
}
|
| 202 |
.upload-area {
|
| 203 |
border: 2px dashed #1e90ff !important;
|
| 204 |
background-color: rgba(240, 248, 255, 0.7) !important;
|
| 205 |
+
border-radius: 10px !important;
|
| 206 |
+
padding: 30px !important;
|
| 207 |
+
transition: all 0.3s ease !important;
|
| 208 |
}
|
| 209 |
.upload-area:hover {
|
| 210 |
background-color: rgba(224, 255, 255, 0.7) !important;
|
| 211 |
+
border-color: #4169e1 !important;
|
| 212 |
+
}
|
| 213 |
+
.risk-meter {
|
| 214 |
+
width: 100%;
|
| 215 |
+
height: 20px;
|
| 216 |
+
background: linear-gradient(90deg, #4CAF50, #FFC107, #F44336);
|
| 217 |
+
border-radius: 10px;
|
| 218 |
+
margin: 15px 0;
|
| 219 |
+
position: relative;
|
| 220 |
+
}
|
| 221 |
+
.risk-meter-indicator {
|
| 222 |
+
position: absolute;
|
| 223 |
+
top: -5px;
|
| 224 |
+
width: 3px;
|
| 225 |
+
height: 30px;
|
| 226 |
+
background-color: #2c3e50;
|
| 227 |
+
transform: translateX(-50%);
|
| 228 |
+
}
|
| 229 |
+
.risk-meter-labels {
|
| 230 |
+
display: flex;
|
| 231 |
+
justify-content: space-between;
|
| 232 |
+
margin-top: 5px;
|
| 233 |
+
font-size: 12px;
|
| 234 |
+
color: #666;
|
| 235 |
+
}
|
| 236 |
+
.clause-example {
|
| 237 |
+
background-color: #f5f7fa;
|
| 238 |
+
padding: 15px;
|
| 239 |
+
border-radius: 8px;
|
| 240 |
+
margin-bottom: 10px;
|
| 241 |
+
border-left: 3px solid #1e90ff;
|
| 242 |
+
font-family: 'Courier New', monospace;
|
| 243 |
+
line-height: 1.5;
|
| 244 |
+
}
|
| 245 |
+
.clause-number {
|
| 246 |
+
font-weight: bold;
|
| 247 |
+
color: #1e90ff;
|
| 248 |
+
margin-right: 8px;
|
| 249 |
+
}
|
| 250 |
+
.sentiment-meter {
|
| 251 |
+
width: 100%;
|
| 252 |
+
height: 20px;
|
| 253 |
+
background: linear-gradient(90deg, #F44336, #FFC107, #4CAF50);
|
| 254 |
+
border-radius: 10px;
|
| 255 |
+
margin: 15px 0;
|
| 256 |
+
}
|
| 257 |
+
.sentiment-score {
|
| 258 |
+
height: 100%;
|
| 259 |
+
border-radius: 10px;
|
| 260 |
+
background-color: rgba(255,255,255,0.3);
|
| 261 |
}
|
| 262 |
/* Hide elements */
|
| 263 |
footer, .gradio-footer, .hide, [data-testid="Use via API"], [data-testid="mmsettings"] {
|
|
|
|
| 373 |
else:
|
| 374 |
return score, "High"
|
| 375 |
|
| 376 |
+
def generate_risk_meter(risk_score: float) -> str:
|
| 377 |
+
"""Generate a visual risk meter with indicator"""
|
| 378 |
+
position = risk_score
|
| 379 |
+
return f"""
|
| 380 |
+
<div class="risk-meter">
|
| 381 |
+
<div class="risk-meter-indicator" style="left: {position}%"></div>
|
| 382 |
+
</div>
|
| 383 |
+
<div class="risk-meter-labels">
|
| 384 |
+
<span>Low (0-30)</span>
|
| 385 |
+
<span>Medium (31-69)</span>
|
| 386 |
+
<span>High (70-100)</span>
|
| 387 |
+
</div>
|
| 388 |
+
"""
|
| 389 |
+
|
| 390 |
+
def generate_sentiment_meter(sentiment_score: float) -> str:
|
| 391 |
+
"""Generate a visual sentiment meter"""
|
| 392 |
+
width = sentiment_score * 100
|
| 393 |
+
return f"""
|
| 394 |
+
<div class="sentiment-meter">
|
| 395 |
+
<div class="sentiment-score" style="width: {width}%"></div>
|
| 396 |
+
</div>
|
| 397 |
+
<div style="display: flex; justify-content: space-between; margin-top: 5px;">
|
| 398 |
+
<span>Negative</span>
|
| 399 |
+
<span>Neutral</span>
|
| 400 |
+
<span>Positive</span>
|
| 401 |
+
</div>
|
| 402 |
+
"""
|
| 403 |
+
|
| 404 |
def generate_heatmap(risk_level: str):
|
| 405 |
"""Generate a simple heatmap based on risk level"""
|
| 406 |
try:
|
|
|
|
| 408 |
|
| 409 |
if risk_level == "Low":
|
| 410 |
cmap = plt.cm.Blues
|
| 411 |
+
color = '#4CAF50'
|
| 412 |
elif risk_level == "Medium":
|
| 413 |
cmap = plt.cm.Oranges
|
| 414 |
+
color = '#FF9800'
|
| 415 |
else:
|
| 416 |
cmap = plt.cm.Reds
|
| 417 |
+
color = '#F44336'
|
| 418 |
|
| 419 |
gradient = np.linspace(0, 1, 256).reshape(1, -1)
|
| 420 |
gradient = np.vstack((gradient, gradient))
|
|
|
|
| 454 |
def format_warning_message(count: int, item_type: str, emoji: str) -> str:
|
| 455 |
"""Format warning message based on count with appropriate color coding"""
|
| 456 |
if count == 0:
|
| 457 |
+
return f"""<div class="success-box">β
{emoji} No {item_type} clauses detected - This is excellent!</div>"""
|
| 458 |
+
elif count < 3:
|
| 459 |
+
return f"""<div class="info-box">βΉοΈ {emoji} {count} {item_type} clauses detected - Standard contract language</div>"""
|
| 460 |
elif count < 5:
|
| 461 |
return f"""<div class="warning-box">β οΈ {emoji} {count} {item_type} clauses detected - Review recommended</div>"""
|
| 462 |
else:
|
| 463 |
+
return f"""<div class="danger-box">π¨ {emoji} {count} {item_type} clauses detected - High Risk! Needs immediate attention</div>"""
|
| 464 |
+
|
| 465 |
+
def format_clause_example(example: str, index: int) -> str:
|
| 466 |
+
"""Format a clause example with proper wrapping and styling"""
|
| 467 |
+
wrapped_text = textwrap.fill(example, width=80)
|
| 468 |
+
return f"""
|
| 469 |
+
<div class="clause-example">
|
| 470 |
+
<span class="clause-number">{index}.</span> {wrapped_text}
|
| 471 |
+
</div>
|
| 472 |
+
"""
|
| 473 |
|
| 474 |
def analyze_pdf(file_obj) -> List:
|
| 475 |
"""Main analysis function for Gradio interface"""
|
|
|
|
| 523 |
|
| 524 |
try:
|
| 525 |
heatmap = generate_heatmap(risk_level)
|
| 526 |
+
risk_meter = generate_risk_meter(risk_score)
|
| 527 |
+
sentiment_meter = generate_sentiment_meter(sentiment_score)
|
| 528 |
except Exception as e:
|
| 529 |
+
raise Exception(f"Visual generation failed: {str(e)}")
|
| 530 |
|
| 531 |
# Format details with warning messages and emojis
|
| 532 |
penalty_details = f"""
|
| 533 |
{penalty_warning}
|
| 534 |
<div class='penalty-box'>
|
| 535 |
<div class='section-title'>π° Penalty Clause Details</div>
|
| 536 |
+
{"".join([f"<div class='count-item'><span class='count-label'><span style='color: #f44336'>β’</span> {kw}</span><span class='count-value'>{count}</span></div>" for kw, count in penalty_counts.items()])}
|
| 537 |
</div>
|
| 538 |
"""
|
| 539 |
|
|
|
|
| 541 |
{obligation_warning}
|
| 542 |
<div class='obligation-box'>
|
| 543 |
<div class='section-title'>π Obligation Clause Details</div>
|
| 544 |
+
{"".join([f"<div class='count-item'><span class='count-label'><span style='color: #ff9800'>β’</span> {kw}</span><span class='count-value'>{count}</span></div>" for kw, count in obligation_counts.items()])}
|
| 545 |
</div>
|
| 546 |
"""
|
| 547 |
|
|
|
|
| 549 |
{delay_warning}
|
| 550 |
<div class='delay-box'>
|
| 551 |
<div class='section-title'>β±οΈ Delay Clause Details</div>
|
| 552 |
+
{"".join([f"<div class='count-item'><span class='count-label'><span style='color: #2196F3'>β’</span> {kw}</span><span class='count-value'>{count}</span></div>" for kw, count in delay_counts.items()])}
|
| 553 |
</div>
|
| 554 |
"""
|
| 555 |
|
| 556 |
+
penalty_amounts = "\n".join([f"<div class='count-item'><span class='count-label'>π° Amount</span><span class='count-value'>${amt:,.2f}</span></div>" for amt in penalty_values[:5]]) if penalty_values else "<div class='success-box'>β
No specific penalty amounts found - This is good news!</div>"
|
| 557 |
|
| 558 |
penalty_sentences = []
|
| 559 |
for sentence in re.split(r'(?<=[.!?])\s+', text):
|
| 560 |
if any(kw.lower() in sentence.lower() for kw in penalty_keywords):
|
| 561 |
penalty_sentences.append(sentence.strip())
|
| 562 |
|
| 563 |
+
penalty_examples = "\n".join([format_clause_example(sent, i+1) for i, sent in enumerate(penalty_sentences[:3])]) if penalty_sentences else "<div class='success-box'>β
No penalty clauses found - Excellent contract terms!</div>"
|
| 564 |
|
| 565 |
record_id = str(uuid.uuid4())
|
| 566 |
sf_data = {
|
|
|
|
| 582 |
logger.error(f"Salesforce record creation failed: {str(e)}")
|
| 583 |
|
| 584 |
box_class = "success-box" if risk_level == "Low" else "warning-box" if risk_level == "Medium" else "danger-box"
|
| 585 |
+
risk_icon = "β
" if risk_level == "Low" else "β οΈ" if risk_level == "Medium" else "π¨"
|
| 586 |
+
risk_advice = {
|
| 587 |
+
"Low": "This contract appears to be low risk. Standard review recommended.",
|
| 588 |
+
"Medium": "This contract has moderate risk. Careful review advised.",
|
| 589 |
+
"High": "This contract is high risk! Immediate legal review required."
|
| 590 |
+
}
|
| 591 |
|
| 592 |
return [
|
| 593 |
+
f"""
|
| 594 |
+
<div class='result-box'>
|
| 595 |
+
<div class='section-title'>{risk_icon} Contract Risk Summary</div>
|
| 596 |
+
<div class='risk-row'>
|
| 597 |
+
<span class='risk-label'>Overall Risk Score</span>
|
| 598 |
+
<span class='risk-score risk-{risk_level.lower()}'>{risk_score:.1f}/100</span>
|
| 599 |
+
</div>
|
| 600 |
+
{risk_meter}
|
| 601 |
+
<div style='margin-top: 15px; font-size: 16px;'>
|
| 602 |
+
<strong>Assessment:</strong> {risk_advice[risk_level]}
|
| 603 |
+
</div>
|
| 604 |
+
</div>
|
| 605 |
+
""",
|
| 606 |
+
f"""
|
| 607 |
+
<div class='result-box'>
|
| 608 |
+
<div class='section-title'>π Risk Visualization</div>
|
| 609 |
+
{heatmap}
|
| 610 |
+
</div>
|
| 611 |
+
""",
|
| 612 |
penalty_details,
|
| 613 |
+
f"<div class='penalty-box'><div class='section-title'>π° Penalty Amounts Found</div>{penalty_amounts}</div>",
|
| 614 |
obligation_details,
|
| 615 |
delay_details,
|
| 616 |
f"<div class='result-box'><div class='section-title'>π Example Penalty Clauses</div>{penalty_examples}</div>",
|
| 617 |
+
f"""
|
| 618 |
+
<div class='result-box'>
|
| 619 |
+
<div class='section-title'>π Contract Sentiment Analysis</div>
|
| 620 |
+
<div style='margin-bottom: 10px;'>Score: {sentiment_score:.2f} (0 = Negative, 1 = Positive)</div>
|
| 621 |
+
{sentiment_meter}
|
| 622 |
+
<div style='margin-top: 15px;'>
|
| 623 |
+
<strong>Interpretation:</strong> {
|
| 624 |
+
"Positive tone detected" if sentiment_score > 0.7
|
| 625 |
+
else "Neutral tone detected" if sentiment_score > 0.4
|
| 626 |
+
else "Negative tone detected"
|
| 627 |
+
}
|
| 628 |
+
</div>
|
| 629 |
+
</div>
|
| 630 |
+
"""
|
| 631 |
]
|
| 632 |
except Exception as e:
|
| 633 |
logger.error(f"Analysis failed: {str(e)}")
|
| 634 |
+
error_message = f"""
|
| 635 |
+
<div class='danger-box'>
|
| 636 |
+
<div style='display: flex; align-items: center; gap: 10px;'>
|
| 637 |
+
<span style='font-size: 24px;'>β</span>
|
| 638 |
+
<span style='font-size: 18px; font-weight: bold;'>Analysis Error</span>
|
| 639 |
+
</div>
|
| 640 |
+
<div style='margin-top: 10px;'>{str(e)}</div>
|
| 641 |
+
<div style='margin-top: 15px; font-size: 14px;'>
|
| 642 |
+
Please ensure you've uploaded a valid PDF document with selectable text.
|
| 643 |
+
</div>
|
| 644 |
+
</div>
|
| 645 |
+
"""
|
| 646 |
+
return [error_message] * 8
|
| 647 |
|
| 648 |
# Create Gradio interface with blue theme and hidden elements
|
| 649 |
with gr.Blocks(css=css, title="PDF Contract Risk Analyzer", theme=gr.themes.Default(primary_hue="blue")) as demo:
|
| 650 |
gr.Markdown("""
|
| 651 |
+
<div style='text-align: center; margin-bottom: 30px;'>
|
| 652 |
+
<h1 style='color: #1e4b8f; margin-bottom: 10px;'>π PDF Contract Risk Analyzer</h1>
|
| 653 |
+
<p style='color: #4169e1; font-size: 16px;'>
|
| 654 |
+
Upload a contract PDF to analyze risks, obligations, and sentiment. Get instant insights into potential issues.
|
| 655 |
+
</p>
|
| 656 |
</div>
|
| 657 |
""")
|
| 658 |
|
| 659 |
with gr.Row():
|
| 660 |
with gr.Column(scale=1):
|
| 661 |
+
file_input = gr.File(
|
| 662 |
+
label="π€ Upload Contract PDF",
|
| 663 |
+
file_types=[".pdf"],
|
| 664 |
+
elem_classes="upload-area",
|
| 665 |
+
info="Drag and drop your contract PDF file here"
|
| 666 |
+
)
|
| 667 |
+
submit_btn = gr.Button("π Analyze Contract", variant="primary")
|
| 668 |
|
| 669 |
with gr.Column(scale=3):
|
| 670 |
+
risk_summary = gr.HTML(label="Contract Risk Summary")
|
| 671 |
+
risk_visualization = gr.HTML(label="Risk Visualization")
|
|
|
|
|
|
|
|
|
|
| 672 |
|
| 673 |
with gr.Row():
|
| 674 |
with gr.Column():
|
| 675 |
+
penalty_count = gr.HTML(label="Penalty Clauses Analysis")
|
| 676 |
+
penalty_amounts = gr.HTML(label="Penalty Amounts Found")
|
| 677 |
|
| 678 |
with gr.Column():
|
| 679 |
+
obligation_count = gr.HTML(label="Obligation Clauses Analysis")
|
| 680 |
|
| 681 |
with gr.Column():
|
| 682 |
+
delay_count = gr.HTML(label="Delay Clauses Analysis")
|
| 683 |
|
| 684 |
with gr.Row():
|
| 685 |
+
penalty_examples = gr.HTML(label="Example Penalty Clauses")
|
| 686 |
|
| 687 |
with gr.Row():
|
| 688 |
+
sentiment_analysis = gr.HTML(label="Contract Sentiment Analysis")
|
| 689 |
|
| 690 |
submit_btn.click(
|
| 691 |
fn=analyze_pdf,
|
| 692 |
inputs=file_input,
|
| 693 |
outputs=[
|
| 694 |
+
risk_summary, risk_visualization,
|
| 695 |
penalty_count, penalty_amounts,
|
| 696 |
obligation_count, delay_count,
|
| 697 |
+
penalty_examples, sentiment_analysis
|
| 698 |
]
|
| 699 |
)
|
| 700 |
|