Basic initial setup

app.py

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+import gradio as gr
+import easyocr
+import torch
+from transformers import pipeline, DistilBertTokenizer, DistilBertForSequenceClassification
+import numpy as np
+from PIL import Image
+import json
+
+# Initialize OCR reader
+reader = easyocr.Reader(['en'])
+
+# Define compliance rules
+COMPLIANCE_RULES = {
+    "US_SEC": {
+        "required_disclaimers": [
+            "past performance",
+            "investment risks",
+            "regulatory statement"
+        ],
+        "prohibited_terms": [
+            "guaranteed returns",
+            "risk-free",
+            "sure thing"
+        ]
+    },
+    "UK_FCA": {
+        "required_disclaimers": [
+            "capital at risk",
+            "regulated by FCA"
+        ],
+        "prohibited_terms": [
+            "guaranteed profit",
+            "no risk"
+        ]
+    },
+    "EU": {
+        "required_disclaimers": [
+            "risk warning",
+            "regulatory information"
+        ],
+        "prohibited_terms": [
+            "assured returns",
+            "no losses"
+        ]
+    }
+}
+
+def extract_text_from_image(image):
+    """Extract text from image using EasyOCR"""
+    result = reader.readtext(np.array(image))
+    return " ".join([text[1] for text in result])
+
+def check_compliance(text):
+    """Check text for compliance across all regions"""
+    report = {
+        "compliant": True,
+        "violations": [],
+        "warnings": [],
+        "channel_risks": {
+            "email": 0,
+            "social": 0,
+            "print": 0
+        }
+    }
+    
+    # Check each region's rules
+    for region, rules in COMPLIANCE_RULES.items():
+        # Check prohibited terms
+        for term in rules["prohibited_terms"]:
+            if term.lower() in text.lower():
+                report["compliant"] = False
+                report["violations"].append(f"{region}: Prohibited term '{term}' found")
+                report["channel_risks"]["email"] += 2
+                report["channel_risks"]["social"] += 2
+                report["channel_risks"]["print"] += 1
+        
+        # Check required disclaimers
+        for disclaimer in rules["required_disclaimers"]:
+            if disclaimer.lower() not in text.lower():
+                report["warnings"].append(f"{region}: Missing disclaimer about {disclaimer}")
+                report["channel_risks"]["email"] += 1
+                report["channel_risks"]["social"] += 1
+                report["channel_risks"]["print"] += 1
+    
+    return report
+
+def analyze_ad_copy(image):
+    """Main function to analyze ad copy"""
+    # Extract text from image
+    text = extract_text_from_image(image)
+    
+    # Check compliance
+    compliance_report = check_compliance(text)
+    
+    # Generate readable report
+    report_text = "Compliance Analysis Report\n\n"
+    report_text += f"Overall Status: {'✅ Compliant' if compliance_report['compliant'] else '❌ Non-Compliant'}\n\n"
+    
+    if compliance_report["violations"]:
+        report_text += "Violations Found:\n"
+        for violation in compliance_report["violations"]:
+            report_text += f"• {violation}\n"
+        report_text += "\n"
+    
+    if compliance_report["warnings"]:
+        report_text += "Warnings:\n"
+        for warning in compliance_report["warnings"]:
+            report_text += f"• {warning}\n"
+        report_text += "\n"
+    
+    report_text += "Channel Risk Assessment:\n"
+    for channel, risk in compliance_report["channel_risks"].items():
+        risk_level = "Low" if risk < 2 else "Medium" if risk < 4 else "High"
+        report_text += f"• {channel.capitalize()}: {risk_level} Risk\n"
+    
+    return report_text
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=analyze_ad_copy,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Textbox(label="Compliance Report", lines=10),
+    title="Marketing Campaign Compliance Checker",
+    description="Upload marketing material to check compliance with US (SEC), UK (FCA), and EU financial regulations.",
+    examples=[],
+    theme=gr.themes.Base()
+)
+
+# Launch the app
+iface.launch()

requirements.txt

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+gradio
+torch
+transformers
+easyocr
+pandas
+numpy
+pillow