TrueLens-Forensics / scratch /analyze_html.py
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import os
html_path = 'e:/Deepfake/deepfake_detector/templates/index.html'
with open(html_path, 'r', encoding='utf-8') as f:
content = f.read()
# Search for common patterns
print(f"Total length: {len(content)}")
patterns = [
'type="file"',
'accept=',
'image/*',
'startsWith("image/")',
'FormData',
'/predict'
]
for p in patterns:
idx = content.find(p)
if idx != -1:
print(f"Found '{p}' at {idx}")
# Print context
start = max(0, idx - 100)
end = min(len(content), idx + 200)
print(f"Context: {content[start:end]}")
else:
print(f"Not found: '{p}'")