Delete verify_fix.py

verify_fix.py

@@ -1,70 +0,0 @@
-#!/usr/bin/env python3
-import os
-import streamlit as st
-from ocr_processing import process_file
-
-# Mock a file upload
-class MockFile:
-    def __init__(self, name, content):
-        self.name = name
-        self._content = content
-    
-    def getvalue(self):
-        return self._content
-
-def test_image(image_path):
-    """Test OCR processing for a specific image"""
-    print(f"\n\n===== Testing {os.path.basename(image_path)} =====")
-    
-    # Load the test image
-    with open(image_path, 'rb') as f:
-        file_bytes = f.read()
-    
-    # Create mock file
-    uploaded_file = MockFile(os.path.basename(image_path), file_bytes)
-    
-    # Process the file
-    result = process_file(uploaded_file)
-    
-    # Display results summary
-    print("\nOCR Content Keys:")
-    for key in result['ocr_contents'].keys():
-        print(f"- {key}")
-    
-    # Show a preview of raw_text
-    if 'raw_text' in result['ocr_contents']:
-        raw_text = result['ocr_contents']['raw_text']
-        preview = raw_text[:100] + "..." if len(raw_text) > 100 else raw_text
-        print(f"\nRaw Text Preview: {preview}")
-    
-    # Check for duplicated content
-    found_duplicated = False
-    if 'raw_text' in result['ocr_contents']:
-        raw_text = result['ocr_contents']['raw_text']
-        # Check if the same text appears twice in sequence (a sign of duplication)
-        if len(raw_text) > 50:
-            half_point = len(raw_text) // 2
-            first_quarter = raw_text[:half_point//2].strip()
-            if first_quarter and len(first_quarter) > 20:
-                if first_quarter in raw_text[half_point:]:
-                    found_duplicated = True
-                    print("\n⚠️ WARNING: Possible text duplication detected!")
-    
-    if not found_duplicated:
-        print("\n✅ No text duplication detected")
-    
-    return result
-
-def main():
-    # Test with different image types
-    test_files = [
-        'input/magician-or-bottle-cungerer.jpg',  # The problematic file
-        'input/recipe.jpg',                       # Simple text file
-        'input/handwritten-letter.jpg'           # Mixed content
-    ]
-    
-    for image_path in test_files:
-        test_image(image_path)
-
-if __name__ == "__main__":
-    main()