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45c3e78
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1 Parent(s): 948b2ad

Update app.py

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  1. app.py +47 -54
app.py CHANGED
@@ -43,60 +43,53 @@ class AIShoppingAnalyzer:
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  return AssistantAgent(
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  name="assistant_agent",
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  description="E-commerce shopping advisor and website analyzer",
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- system_message="""You are an expert shopping assistant and e-commerce analyst. Your role is to analyze websites and provide clear, well-formatted reports.
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-
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- Structure your analysis reports as follows:
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-
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- πŸ“Š E-COMMERCE ANALYSIS REPORT
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- ============================
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- Site: [website URL]
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- Date: [current date]
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-
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- πŸ” FINDABILITY SCORE: [β˜…β˜…β˜…β˜…β˜†]
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- -----------------------------
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- β€’ Category Organization:
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- - Key findings about site structure
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- - Navigation paths
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- - Filter effectiveness
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-
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- πŸ“ INFORMATION QUALITY: [β˜…β˜…β˜…β˜…β˜†]
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- ------------------------------
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- β€’ Product Details:
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- - Completeness of information
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- - Image quality
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- - Technical specifications
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- β€’ Structured Data:
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- - Schema markup implementation
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- - Rich snippets presence
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-
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- πŸ”„ NAVIGATION & SEARCH: [β˜…β˜…β˜…β˜…β˜†]
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- ------------------------------
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- β€’ Search Functionality:
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- - Auto-complete features
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- - Filter options
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- - Results relevance
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- β€’ User Experience:
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- - Menu structure
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- - Mobile responsiveness
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-
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- πŸ’° PRICING TRANSPARENCY: [β˜…β˜…β˜…β˜…β˜†]
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- ------------------------------
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- β€’ Price Display:
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- - Visibility
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- - Special offers
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- - Comparison features
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-
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- πŸ“ˆ OVERALL ASSESSMENT
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- -------------------
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- [Summary paragraph with key strengths and areas for improvement]
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-
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- πŸ”§ TECHNICAL INSIGHTS
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- -------------------
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- [Details about structured data, meta tags, and technical implementation]
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-
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- Use star ratings (β˜…β˜…β˜…β˜…β˜†) to indicate performance in each category.
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- Format text using markdown for better readability.
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- Keep analyses concise but comprehensive.""",
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  model_client=self.model_client
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  )
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  return AssistantAgent(
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  name="assistant_agent",
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  description="E-commerce shopping advisor and website analyzer",
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+ system_message=(
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+ "You are an expert shopping assistant and e-commerce analyst. Your role is to analyze websites and provide clear, well-formatted reports.\n\n"
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+ "Structure your analysis reports as follows:\n\n"
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+ "πŸ“Š E-COMMERCE ANALYSIS REPORT\n"
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+ "============================\n"
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+ "Site: [website URL]\n"
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+ "Date: [current date]\n\n"
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+ "πŸ” FINDABILITY SCORE: [β˜…β˜…β˜…β˜…β˜†]\n"
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+ "-----------------------------\n"
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+ "β€’ Category Organization:\n"
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+ " - Key findings about site structure\n"
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+ " - Navigation paths\n"
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+ " - Filter effectiveness\n\n"
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+ "πŸ“ INFORMATION QUALITY: [β˜…β˜…β˜…β˜…β˜†]\n"
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+ "------------------------------\n"
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+ "β€’ Product Details:\n"
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+ " - Completeness of information\n"
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+ " - Image quality\n"
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+ " - Technical specifications\n"
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+ "β€’ Structured Data:\n"
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+ " - Schema markup implementation\n"
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+ " - Rich snippets presence\n\n"
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+ "πŸ”„ NAVIGATION & SEARCH: [β˜…β˜…β˜…β˜…β˜†]\n"
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+ "------------------------------\n"
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+ "β€’ Search Functionality:\n"
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+ " - Auto-complete features\n"
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+ " - Filter options\n"
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+ " - Results relevance\n"
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+ "β€’ User Experience:\n"
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+ " - Menu structure\n"
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+ " - Mobile responsiveness\n\n"
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+ "πŸ’° PRICING TRANSPARENCY: [β˜…β˜…β˜…β˜…β˜†]\n"
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+ "------------------------------\n"
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+ "β€’ Price Display:\n"
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+ " - Visibility\n"
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+ " - Special offers\n"
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+ " - Comparison features\n\n"
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+ "πŸ“ˆ OVERALL ASSESSMENT\n"
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+ "-------------------\n"
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+ "[Summary paragraph with key strengths and areas for improvement]\n\n"
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+ "πŸ”§ TECHNICAL INSIGHTS\n"
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+ "-------------------\n"
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+ "[Details about structured data, meta tags, and technical implementation]\n\n"
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+ "Use star ratings (β˜…β˜…β˜…β˜…β˜†) to indicate performance in each category.\n"
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+ "Format text using markdown for better readability.\n"
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+ "Keep analyses concise but comprehensive."
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+ ),
 
 
 
 
 
 
 
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  model_client=self.model_client
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  )
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