webtraffic commited on
Commit
dd46990
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verified ·
1 Parent(s): 13521a1

Update main.py

Browse files
Files changed (1) hide show
  1. main.py +1 -45
main.py CHANGED
@@ -43,48 +43,4 @@ async def analyze_text(payload: TextPayload):
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  "status": "success",
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  "metrics": {"total_words": len(doc), "total_entities_found": len(sorted_entities)},
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  "entities": sorted_entities
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- } echo json_encode(['error' => 'The website blocked our connection. This often happens with strict firewalls. Try another URL.']);
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- exit;
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- }
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-
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- // 2. Clean the text for AI analysis
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- $doc = new DOMDocument();
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- libxml_use_internal_errors(true);
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- @$doc->loadHTML(mb_convert_encoding($html, 'HTML-ENTITIES', 'UTF-8'));
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- $xpath = new DOMXPath($doc);
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-
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- // Strip out non-content elements to save AI tokens
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- foreach ($xpath->query('//script | //style | //nav | //footer | //header | //aside | //noscript') as $node) {
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- $node->parentNode->removeChild($node);
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- }
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-
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- $body = $doc->getElementsByTagName('body')->item(0);
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- $clean_text = $body ? trim(preg_replace('/\s+/', ' ', $body->textContent)) : '';
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- $clean_text = substr($clean_text, 0, 8000);
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-
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- if (empty($clean_text)) {
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- echo json_encode(['error' => 'We reached the site, but couldn\'t find any readable text in the body.']);
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- exit;
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- }
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-
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- // 3. Talk to Hugging Face API
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- $api_url = 'https://webtraffic-seo-entity-analyzer.hf.space/analyze';
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-
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- $ch = curl_init($api_url);
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- curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
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- curl_setopt($ch, CURLOPT_POST, true);
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- curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode(['text' => $clean_text]));
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- curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);
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- curl_setopt($ch, CURLOPT_TIMEOUT, 30);
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- curl_setopt($ch, CURLOPT_SSL_VERIFYPEER, false);
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-
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- $response = curl_exec($ch);
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- $http_code = curl_getinfo($ch, CURLINFO_HTTP_CODE);
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- curl_close($ch);
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-
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- if ($http_code !== 200) {
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- echo json_encode(['error' => 'AI Engine is currently overloaded or waking up. Please try again in a moment.']);
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- exit;
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- }
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-
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- echo $response;
 
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  "status": "success",
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  "metrics": {"total_words": len(doc), "total_entities_found": len(sorted_entities)},
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  "entities": sorted_entities
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+ }