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Update app.py
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app.py
CHANGED
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@@ -1,181 +1,351 @@
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$dbname = 'asecurit_db';
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$username = 'asecurit_root';
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$password = 'Pass098&6';
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$fileTmpName = $file['tmp_name'];
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$fileSize = $file['size'];
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}
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// Create directory if it doesn't exist
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if (!file_exists($uploadDir)) {
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if (!mkdir($uploadDir, 0755, true)) {
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throw new Exception('Failed to create upload directory');
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}
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}
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}
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$stmt->bindParam(':pin', $pincode);
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$stmt->bindParam(':experience', $experience);
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$stmt->bindParam(':available_from', $available_from);
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$stmt->bindParam(':cover', $cover);
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$stmt->bindParam(':resume', $resumePath);
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// Execute statement
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if ($stmt->execute()) {
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// ✅ INSERT FILE RECORD INTO files TABLE
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if ($resumePath) {
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try {
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$fileInsertSql = "INSERT INTO files (parent_id, user_id, name, created_at)
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VALUES (:parent_id, :user_id, :name, NOW())";
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$fileStmt = $conn->prepare($fileInsertSql);
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$fileStmt->bindValue(':parent_id', 5, PDO::PARAM_INT);
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$fileStmt->bindValue(':user_id', 1, PDO::PARAM_INT);
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$fileStmt->bindValue(':name', $newFileName, PDO::PARAM_STR);
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$fileStmt->execute();
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error_log('File record inserted into files table: ' . $newFileName);
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} catch (PDOException $e) {
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// Log error but don't fail the entire operation
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error_log('Failed to insert file record: ' . $e->getMessage());
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}
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}
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// Send to all HR and Admin users
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$notificationResult = $fcmHelper->sendNewApplicationNotification(
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$name,
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$position,
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$phone,
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$email
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);
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// Log notification result
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error_log('FCM Notification sent: ' . ($notificationResult ? 'Success' : 'Failed'));
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} else {
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throw new Exception('Failed to save data to database');
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}
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}
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import gradio as gr
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import json
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import re
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from datetime import datetime
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from paddleocr import PaddleOCR
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from PIL import Image
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import pdf2image
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import numpy as np
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# Initialize PaddleOCR
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ocr = PaddleOCR(use_textline_orientation=True, lang='en', show_log=False)
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def extract_text_from_image(image):
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"""Extract text from image using PaddleOCR"""
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if isinstance(image, Image.Image):
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image = np.array(image)
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result = ocr.ocr(image, cls=True)
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# Extract text with coordinates
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text_blocks = []
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for line in result[0]:
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bbox = line[0]
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text = line[1][0]
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confidence = line[1][1]
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# Calculate center point for positioning
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y_center = (bbox[0][1] + bbox[2][1]) / 2
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x_center = (bbox[0][0] + bbox[2][0]) / 2
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text_blocks.append({
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'text': text,
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'y': y_center,
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'x': x_center,
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'confidence': confidence
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})
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return text_blocks
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def pdf_to_images(pdf_file):
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"""Convert PDF to images"""
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images = pdf2image.convert_from_path(pdf_file)
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return images
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def extract_gstin(text):
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"""Extract GSTIN using pattern matching"""
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gstin_pattern = r'\d{2}[A-Z]{5}\d{4}[A-Z]{1}[A-Z\d]{1}[Z]{1}[A-Z\d]{1}'
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match = re.search(gstin_pattern, text)
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return match.group(0) if match else None
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def extract_pincode(text):
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"""Extract 6-digit PIN code"""
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pincode_pattern = r'\b\d{6}\b'
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match = re.search(pincode_pattern, text)
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return match.group(0) if match else None
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def extract_mobile(text):
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"""Extract mobile number"""
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mobile_pattern = r'\b[6-9]\d{9}\b'
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match = re.search(mobile_pattern, text)
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return match.group(0) if match else None
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def extract_date(text):
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"""Extract date in various formats"""
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date_patterns = [
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r'\d{2}[-/]\d{2}[-/]\d{4}',
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r'\d{2}[-/]\d{2}[-/]\d{2}',
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r'\d{4}[-/]\d{2}[-/]\d{2}'
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]
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for pattern in date_patterns:
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match = re.search(pattern, text)
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if match:
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return match.group(0)
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return None
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def extract_invoice_number(text_blocks):
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"""Extract invoice/bill number"""
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for block in text_blocks:
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text = block['text']
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if re.search(r'(invoice|bill)\s*(no|number|#)', text.lower()):
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# Look for number in same or next block
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number_match = re.search(r'[A-Z0-9/-]+', text)
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if number_match:
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return number_match.group(0)
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return None
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def extract_amounts(text):
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"""Extract monetary amounts"""
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amount_pattern = r'₹?\s*(\d+(?:,\d+)*(?:\.\d{2})?)'
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amounts = re.findall(amount_pattern, text)
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return [float(amt.replace(',', '')) for amt in amounts]
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def find_header_info(text_blocks):
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"""Extract header information (supplier details)"""
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all_text = ' '.join([block['text'] for block in text_blocks])
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header = {
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"supplier_name": None,
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"supplier_pincode": extract_pincode(all_text),
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"gstin": extract_gstin(all_text),
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"contact_no": extract_mobile(all_text),
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"invoice_no": extract_invoice_number(text_blocks),
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"invoice_date": extract_date(all_text)
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}
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# Extract supplier name (usually first few lines)
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top_blocks = sorted(text_blocks, key=lambda x: x['y'])[:5]
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supplier_name_candidates = []
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for block in top_blocks:
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text = block['text'].strip()
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if len(text) > 3 and not re.match(r'^[\d\s.,]+$', text):
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supplier_name_candidates.append(text)
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if supplier_name_candidates:
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header['supplier_name'] = supplier_name_candidates[0]
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return header
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def find_line_items(text_blocks):
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"""Extract line items from invoice"""
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# Sort blocks by Y coordinate
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sorted_blocks = sorted(text_blocks, key=lambda x: x['y'])
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items = []
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current_item = {}
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# Simple heuristic: Look for patterns
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for i, block in enumerate(sorted_blocks):
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text = block['text'].strip()
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# Look for HSN codes (6 or 8 digits)
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hsn_match = re.search(r'\b\d{4,8}\b', text)
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if hsn_match and not current_item.get('hsn'):
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current_item['hsn'] = hsn_match.group(0)
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# Look for quantities
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qty_match = re.search(r'\b(\d+(?:\.\d+)?)\s*(pcs|nos|kg|ltr|box|unit)?', text.lower())
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if qty_match and not current_item.get('qty'):
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current_item['qty'] = float(qty_match.group(1))
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current_item['unit'] = qty_match.group(2) if qty_match.group(2) else 'Nos'
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# Look for rates/amounts
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amount_matches = re.findall(r'₹?\s*(\d+(?:,\d+)*(?:\.\d{2})?)', text)
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if amount_matches:
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amounts = [float(amt.replace(',', '')) for amt in amount_matches]
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if not current_item.get('rate') and len(amounts) > 0:
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current_item['rate'] = amounts[0]
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# Look for GST percentages
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gst_match = re.search(r'(\d+(?:\.\d+)?)\s*%', text)
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if gst_match and not current_item.get('gst_percent'):
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current_item['gst_percent'] = float(gst_match.group(1))
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# If we have enough info, save item
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if len(current_item) >= 3:
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if 'item_name' not in current_item:
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current_item['item_name'] = text[:50]
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items.append({
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'item_name': current_item.get('item_name', 'Item'),
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'hsn': current_item.get('hsn', ''),
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'qty': current_item.get('qty', 0),
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+
'unit': current_item.get('unit', 'Nos'),
|
| 164 |
+
'rate': current_item.get('rate', 0),
|
| 165 |
+
'discount': current_item.get('discount', 0),
|
| 166 |
+
'gst_percent': current_item.get('gst_percent', 0)
|
| 167 |
+
})
|
| 168 |
+
current_item = {}
|
| 169 |
+
|
| 170 |
+
return items
|
| 171 |
|
| 172 |
+
def calculate_totals(items):
|
| 173 |
+
"""Calculate totals from line items"""
|
| 174 |
+
total_gross = 0
|
| 175 |
+
total_taxable = 0
|
| 176 |
+
total_gst = 0
|
| 177 |
+
|
| 178 |
+
for item in items:
|
| 179 |
+
qty = item.get('qty', 0)
|
| 180 |
+
rate = item.get('rate', 0)
|
| 181 |
+
discount = item.get('discount', 0)
|
| 182 |
+
gst_percent = item.get('gst_percent', 0)
|
| 183 |
+
|
| 184 |
+
gross = qty * rate
|
| 185 |
+
taxable = gross - discount
|
| 186 |
+
gst_amount = (taxable * gst_percent) / 100
|
| 187 |
|
| 188 |
+
item['gross_amount'] = round(gross, 2)
|
| 189 |
+
item['taxable_amount'] = round(taxable, 2)
|
| 190 |
+
item['gst_amount'] = round(gst_amount, 2)
|
| 191 |
+
item['total_amount'] = round(taxable + gst_amount, 2)
|
| 192 |
+
|
| 193 |
+
total_gross += gross
|
| 194 |
+
total_taxable += taxable
|
| 195 |
+
total_gst += gst_amount
|
| 196 |
+
|
| 197 |
+
return {
|
| 198 |
+
'total_gross': round(total_gross, 2),
|
| 199 |
+
'total_taxable': round(total_taxable, 2),
|
| 200 |
+
'total_gst': round(total_gst, 2),
|
| 201 |
+
'grand_total': round(total_taxable + total_gst, 2)
|
| 202 |
}
|
| 203 |
|
| 204 |
+
def extract_invoice_data(file):
|
| 205 |
+
"""Main function to extract all invoice data"""
|
| 206 |
+
try:
|
| 207 |
+
# Convert PDF to image if needed
|
| 208 |
+
if file.name.lower().endswith('.pdf'):
|
| 209 |
+
images = pdf_to_images(file.name)
|
| 210 |
+
image = images[0] # Process first page
|
| 211 |
+
else:
|
| 212 |
+
image = Image.open(file.name)
|
| 213 |
+
|
| 214 |
+
# Extract text with OCR
|
| 215 |
+
text_blocks = extract_text_from_image(image)
|
| 216 |
+
|
| 217 |
+
# Extract different sections
|
| 218 |
+
header = find_header_info(text_blocks)
|
| 219 |
+
details = find_line_items(text_blocks)
|
| 220 |
+
footer = calculate_totals(details)
|
| 221 |
+
|
| 222 |
+
# Build final JSON structure
|
| 223 |
+
result = {
|
| 224 |
+
"header": header,
|
| 225 |
+
"details": details,
|
| 226 |
+
"footer": footer
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 227 |
}
|
| 228 |
|
| 229 |
+
return json.dumps(result, indent=2, ensure_ascii=False)
|
| 230 |
+
|
| 231 |
+
except Exception as e:
|
| 232 |
+
return json.dumps({
|
| 233 |
+
"error": str(e),
|
| 234 |
+
"message": "Failed to process invoice"
|
| 235 |
+
}, indent=2)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 236 |
|
| 237 |
+
# Create Gradio Interface
|
| 238 |
+
with gr.Blocks(title="Purchase Invoice Data Extraction", theme=gr.themes.Soft()) as demo:
|
| 239 |
+
gr.Markdown("""
|
| 240 |
+
# 🧾 Purchase Invoice Data Extraction API
|
| 241 |
+
|
| 242 |
+
Upload purchase invoices (PDF or Image) to automatically extract structured data including:
|
| 243 |
+
- Supplier details (Name, PIN, GSTIN, Contact)
|
| 244 |
+
- Invoice information (Number, Date)
|
| 245 |
+
- Line items (Name, HSN, Qty, Rate, Discounts, GST%)
|
| 246 |
+
- Calculated totals (Gross, Taxable, Tax, Grand Total)
|
| 247 |
+
""")
|
| 248 |
+
|
| 249 |
+
with gr.Row():
|
| 250 |
+
with gr.Column():
|
| 251 |
+
file_input = gr.File(
|
| 252 |
+
label="Upload Invoice (PDF or Image)",
|
| 253 |
+
file_types=[".pdf", ".png", ".jpg", ".jpeg"]
|
| 254 |
+
)
|
| 255 |
+
extract_btn = gr.Button("Extract Data", variant="primary", size="lg")
|
| 256 |
+
|
| 257 |
+
gr.Markdown("""
|
| 258 |
+
### Supported Formats:
|
| 259 |
+
- PDF documents
|
| 260 |
+
- PNG, JPG, JPEG images
|
| 261 |
+
- English and Hindi text
|
| 262 |
+
""")
|
| 263 |
+
|
| 264 |
+
with gr.Column():
|
| 265 |
+
output_json = gr.Code(
|
| 266 |
+
label="Extracted Data (JSON)",
|
| 267 |
+
language="json",
|
| 268 |
+
lines=25
|
| 269 |
+
)
|
| 270 |
+
|
| 271 |
+
gr.Markdown("""
|
| 272 |
+
### Output Structure:
|
| 273 |
+
```json
|
| 274 |
+
{
|
| 275 |
+
"header": {
|
| 276 |
+
"supplier_name": "...",
|
| 277 |
+
"supplier_pincode": "...",
|
| 278 |
+
"gstin": "...",
|
| 279 |
+
"contact_no": "...",
|
| 280 |
+
"invoice_no": "...",
|
| 281 |
+
"invoice_date": "..."
|
| 282 |
+
},
|
| 283 |
+
"details": [
|
| 284 |
+
{
|
| 285 |
+
"item_name": "...",
|
| 286 |
+
"hsn": "...",
|
| 287 |
+
"qty": 0,
|
| 288 |
+
"unit": "...",
|
| 289 |
+
"rate": 0,
|
| 290 |
+
"discount": 0,
|
| 291 |
+
"gst_percent": 0,
|
| 292 |
+
"gross_amount": 0,
|
| 293 |
+
"taxable_amount": 0,
|
| 294 |
+
"gst_amount": 0,
|
| 295 |
+
"total_amount": 0
|
| 296 |
+
}
|
| 297 |
+
],
|
| 298 |
+
"footer": {
|
| 299 |
+
"total_gross": 0,
|
| 300 |
+
"total_taxable": 0,
|
| 301 |
+
"total_gst": 0,
|
| 302 |
+
"grand_total": 0
|
| 303 |
+
}
|
| 304 |
}
|
| 305 |
+
```
|
| 306 |
+
|
| 307 |
+
---
|
| 308 |
+
|
| 309 |
+
### API Usage:
|
| 310 |
+
|
| 311 |
+
**Python Client:**
|
| 312 |
+
```python
|
| 313 |
+
from gradio_client import Client
|
| 314 |
+
|
| 315 |
+
client = Client("http://localhost:7860")
|
| 316 |
+
result = client.predict(
|
| 317 |
+
file="path/to/invoice.pdf",
|
| 318 |
+
api_name="/predict"
|
| 319 |
+
)
|
| 320 |
+
print(result)
|
| 321 |
+
```
|
| 322 |
+
|
| 323 |
+
**cURL:**
|
| 324 |
+
```bash
|
| 325 |
+
curl -X POST http://localhost:7860/api/predict \\
|
| 326 |
+
-F "file=@invoice.pdf"
|
| 327 |
+
```
|
| 328 |
+
""")
|
| 329 |
+
|
| 330 |
+
extract_btn.click(
|
| 331 |
+
fn=extract_invoice_data,
|
| 332 |
+
inputs=[file_input],
|
| 333 |
+
outputs=[output_json]
|
| 334 |
+
)
|
| 335 |
+
|
| 336 |
+
# Example usage
|
| 337 |
+
gr.Examples(
|
| 338 |
+
examples=[],
|
| 339 |
+
inputs=[file_input],
|
| 340 |
+
outputs=[output_json],
|
| 341 |
+
fn=extract_invoice_data,
|
| 342 |
+
cache_examples=False
|
| 343 |
+
)
|
| 344 |
|
| 345 |
+
if __name__ == "__main__":
|
| 346 |
+
demo.launch(
|
| 347 |
+
server_name="0.0.0.0",
|
| 348 |
+
server_port=7860,
|
| 349 |
+
share=False,
|
| 350 |
+
show_api=True
|
| 351 |
+
)
|