Update app.py

app.py

@@ -35,55 +35,55 @@ def get_answer(url, text):
         str: Detailed analysis report
     """
     # Enhanced prompt with more specific instruction for detailed output
-     full_prompt = f'''
-COMPREHENSIVE SCAM DETECTION ANALYSIS
+    full_prompt = f'''
+    COMPREHENSIVE SCAM DETECTION ANALYSIS
 
-Objective: Provide a meticulously detailed, structured assessment of potential online risks.
+    Objective: Provide a meticulously detailed, structured assessment of potential online risks.
 
-ANALYSIS FRAMEWORK:
-1. RISK LEVEL
+    ANALYSIS FRAMEWORK:
+    1. RISK LEVEL
    - Explicitly state an overall risk assessment (Low/Medium/High)
 
-2. URL ANALYSIS
-   - Detailed breakdown of URL characteristics
-   - Domain reputation assessment
-   - Technical red flags
-   - Registrar and hosting information insights
-
-3. CONTENT EVALUATION
-   - Content quality assessment (use execute_firecrawl to retrieve contents sample)
-   - Linguistic and communication pattern analysis
-   - Consistency and professionalism evaluation
-
-4. SPECIFIC RED FLAGS
-   - List at least 5 concrete indicators of potential scam
-   - Use Scamwatch reference material (use retriever_tool)
-   - Provide specific evidence for each red flag
-   - Categorize red flags (e.g., Technical, Financial, Communication)
-
-5. RECOMMENDED ACTIONS
-   - Specific, actionable steps for user protection
-   - Use Scamwatch reference material (use retriever_tool)
-   - Recommended verification methods
-   - Suggested reporting channels
-   - Personal safety guidelines
-
-6. ADDITIONAL INSIGHTS
-   - Contextual background information
-   - Potential motivations behind suspicious activity
-   - Broader pattern recognition
-
-CONTEXT:
-- URL under investigation: {url}
-- User-provided situation description: {text}
-
-CRITICAL INSTRUCTIONS:
-- Maintain objective, evidence-based analysis
-- Talk in terms of risks rather then certainties.
-- Focus on user empowerment and protection
-- Use the retriever_tool tool to look up Scamwatch reference information scam types, reporting scams etc. Where possible prioritise this infomration.
-
-'''
+    2. URL ANALYSIS
+       - Detailed breakdown of URL characteristics
+       - Domain reputation assessment
+       - Technical red flags
+       - Registrar and hosting information insights
+
+    3. CONTENT EVALUATION
+       - Content quality assessment (use execute_firecrawl to retrieve contents sample)
+       - Linguistic and communication pattern analysis
+       - Consistency and professionalism evaluation
+
+    4. SPECIFIC RED FLAGS
+       - List at least 5 concrete indicators of potential scam
+       - Use Scamwatch reference material (use retriever_tool)
+       - Provide specific evidence for each red flag
+       - Categorize red flags (e.g., Technical, Financial, Communication)
+
+    5. RECOMMENDED ACTIONS
+       - Specific, actionable steps for user protection
+       - Use Scamwatch reference material (use retriever_tool)
+       - Recommended verification methods
+       - Suggested reporting channels
+       - Personal safety guidelines
+
+    6. ADDITIONAL INSIGHTS
+       - Contextual background information
+       - Potential motivations behind suspicious activity
+       - Broader pattern recognition
+
+    CONTEXT:
+    - URL under investigation: {url}
+    - User-provided situation description: {text}
+
+    CRITICAL INSTRUCTIONS:
+    - Maintain objective, evidence-based analysis
+    - Talk in terms of risks rather then certainties.
+    - Focus on user empowerment and protection
+    - Use the retriever_tool tool to look up Scamwatch reference information scam types, reporting scams etc. Where possible prioritise this infomration.
+
+    '''
 
     answer = agent.run(full_prompt)