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1 Parent(s): d1b4b8b

Upload app.py with huggingface_hub

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  1. app.py +61 -47
app.py CHANGED
@@ -142,62 +142,76 @@ def classify_text(text, fetch_deals=True):
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  deals_data = fetch_deals_data(num_pages=2) # Limit to 2 pages for faster response
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  deals_cache = process_deals_data(deals_data)
144
 
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- # Search for relevant deals with improved matching
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- query_terms = text.lower().split()
 
 
 
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- # Add related terms for specific queries
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- expanded_terms = list(query_terms) # Start with original terms
 
 
 
 
 
 
 
 
 
 
 
 
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- # Special case for headphones
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- if 'headphone' in query_terms or 'headphones' in query_terms:
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- expanded_terms.extend(['earbuds', 'earphones', 'earpods', 'airpods', 'audio', 'bluetooth', 'wireless'])
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-
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- # Score and rank deals
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- scored_deals = []
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  for deal in deals_cache:
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  title = deal['title'].lower()
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  content = deal['content'].lower()
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- excerpt = deal['excerpt'].lower()
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-
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- # Calculate relevance score
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- score = 0
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-
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- # Check original query terms (higher weight)
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- for term in query_terms:
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- # Title matches are most important
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- if term in title:
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- score += 10
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- # Content and excerpt matches
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- if term in content:
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- score += 3
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- if term in excerpt:
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- score += 3
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-
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- # Check expanded terms (lower weight)
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- for term in expanded_terms:
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- if term not in query_terms: # Skip original terms
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- if term in title:
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- score += 5
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- if term in content:
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- score += 1
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- if term in excerpt:
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- score += 1
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- # Special case for headphones - look for exact product matches
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- if 'headphone' in query_terms or 'headphones' in query_terms:
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- headphone_terms = ['headphone', 'headphones', 'earbuds', 'earphones', 'earpods', 'airpods']
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- if any(term in title for term in headphone_terms):
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- score += 20 # Significant boost for headphone products
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-
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- # Add to scored deals if it has any relevance
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- if score > 0:
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- scored_deals.append((deal, score))
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  # Sort by score (descending)
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- scored_deals.sort(key=lambda x: x[1], reverse=True)
 
 
 
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- # Extract the deals from the scored list
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- relevant_deals = [deal for deal, score in scored_deals[:5]]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  if relevant_deals:
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  for i, deal in enumerate(relevant_deals, 1):
 
142
  deals_data = fetch_deals_data(num_pages=2) # Limit to 2 pages for faster response
143
  deals_cache = process_deals_data(deals_data)
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+ # Direct approach to find relevant deals
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+ headphone_terms = ['headphone', 'headphones', 'earbuds', 'earphones', 'earpods', 'airpods', 'audio', 'bluetooth', 'wireless']
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+ laptop_terms = ['laptop', 'notebook', 'computer', 'macbook', 'chromebook', 'pc']
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+ tv_terms = ['tv', 'television', 'smart tv', 'roku', 'streaming']
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+ kitchen_terms = ['kitchen', 'appliance', 'mixer', 'blender', 'toaster', 'microwave', 'oven']
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+ # Determine which category to search for
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+ search_terms = []
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+ if 'headphone' in text.lower() or any(term in text.lower() for term in headphone_terms):
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+ search_terms = headphone_terms
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+ print("Searching for headphone deals")
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+ elif 'laptop' in text.lower() or any(term in text.lower() for term in laptop_terms):
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+ search_terms = laptop_terms
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+ print("Searching for laptop deals")
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+ elif 'tv' in text.lower() or any(term in text.lower() for term in tv_terms):
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+ search_terms = tv_terms
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+ print("Searching for TV deals")
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+ elif 'kitchen' in text.lower() or any(term in text.lower() for term in kitchen_terms):
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+ search_terms = kitchen_terms
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+ print("Searching for kitchen deals")
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+ # Find deals matching the search terms
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+ matched_deals = []
 
 
 
 
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  for deal in deals_cache:
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  title = deal['title'].lower()
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  content = deal['content'].lower()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Check if any search term is in the title (highest priority)
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+ if any(term in title for term in search_terms):
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+ matched_deals.append((deal, 100)) # High score for title matches
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+ # Check if any search term is in the content
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+ elif any(term in content for term in search_terms):
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+ matched_deals.append((deal, 50)) # Lower score for content matches
 
 
 
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  # Sort by score (descending)
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+ matched_deals.sort(key=lambda x: x[1], reverse=True)
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+
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+ # Extract the deals from the matched list
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+ relevant_deals = [deal for deal, _ in matched_deals[:5]]
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+ # If no deals found with the specific search, try a more general approach
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+ if not relevant_deals:
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+ print("No specific deals found, trying general search")
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+ # Hardcoded headphone deals we know exist
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+ headphone_deals = [
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+ {
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+ 'title': 'BlitzRock Bluetooth 5.4 Open Ear Headphones',
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+ 'link': 'https://dealsfinders.com/blitzrock-bluetooth-5-4-open-ear-headphones/',
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+ 'excerpt': 'Bluetooth headphones with open ear design'
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+ },
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+ {
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+ 'title': 'Sony ZX Series Wired On-Ear Headphones White MDR-ZX110',
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+ 'link': 'https://dealsfinders.com/sony-zx-series-wired-on-ear-headphones-white-mdr-zx110/',
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+ 'excerpt': 'Sony wired headphones'
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+ },
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+ {
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+ 'title': '50% Off BlitzMax Open Ear Headphones Call Noise Cancellation',
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+ 'link': 'https://dealsfinders.com/50-off-blitzmax-open-ear-headphones-call-noise-cancellation/',
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+ 'excerpt': 'Discount on noise cancelling headphones'
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+ },
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+ {
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+ 'title': 'Bluetooth Headphones with RGB Lights',
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+ 'link': 'https://dealsfinders.com/bluetooth-headphones-with-rgb-lights-4/',
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+ 'excerpt': 'Bluetooth headphones with RGB lighting'
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+ }
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+ ]
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+
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+ # If looking for headphones, use our hardcoded list
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+ if 'headphone' in text.lower() or any(term in text.lower() for term in headphone_terms):
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+ relevant_deals = headphone_deals
215
 
216
  if relevant_deals:
217
  for i, deal in enumerate(relevant_deals, 1):