Update simple_casl_app.py

simple_casl_app.py

@@ -919,6 +919,15 @@ def analyze_transcript_content(transcript_content, age, gender, slp_notes):
     - Focus on clinical relevance
     - COMPLETE ALL 12 SECTIONS
 
+    MATHEMATICAL ACCURACY REQUIREMENTS:
+    - ALL COUNTS MUST MATCH: If you claim "X total", individual counts must sum to X
+    - Verify your math before reporting any totals
+    - Example: If you find 3 types of errors with counts 5, 7, 2, say "14 total errors" not "12 total errors"
+    - Double-check that individual counts sum to your claimed total
+    - If counts don't match, correct them before reporting
+    - Use precise language: "approximately X" if uncertain, "at least X" for minimum counts
+    - This analysis is for students and must be mathematically accurate
+
     SECTION CHECKLIST - COMPLETE ALL:
     □ 1. SPEECH FACTORS (A, B, C)
     □ 2. LANGUAGE SKILLS ASSESSMENT (A, B, C)
@@ -933,7 +942,14 @@ def analyze_transcript_content(transcript_content, age, gender, slp_notes):
     □ 11. CLINICAL IMPLICATIONS (A, B, C)
     □ 12. PROGNOSIS AND SUMMARY
 
-    CRITICAL: If you cannot complete all 12 sections in one response, end with <CONTINUE> and continue with the remaining sections. Do not skip any sections. Use the checklist to ensure all sections are completed.
+    CRITICAL REQUIREMENTS:
+    - If you cannot complete all 12 sections in one response, end with <CONTINUE> and continue with the remaining sections
+    - Do not skip any sections. Use the checklist to ensure all sections are completed
+    - ACCURACY IS PARAMOUNT: This analysis is for students and must be mathematically correct
+    - Before reporting any totals, verify that individual counts sum correctly
+    - If you find inconsistencies in your counts, resolve them before continuing
+    - Use precise language and avoid making claims you cannot support with evidence
+    - When in doubt about a count, say "at least X" or "approximately X" rather than claiming certainty
     """
     
     # Get analysis from Claude API
@@ -992,9 +1008,12 @@ def targeted_analysis(transcript, custom_question, age, gender, slp_notes):
     ANALYSIS REQUIREMENTS:
     
     1. QUANTIFICATION:
-    - Count every relevant occurrence
-    - Calculate percentages and ratios
+    - Count every relevant occurrence with absolute accuracy
+    - Calculate percentages and ratios correctly
     - Provide specific numbers for all observations
+    - VERIFY MATH: Ensure individual counts sum to claimed totals
+    - Example: If counting 3 types of errors (5, 7, 2), report "14 total errors"
+    - Use precise language: "at least X" for minimum counts, "approximately X" if uncertain
     
     2. EVIDENCE:
     - Cite exact quotes from the transcript
@@ -1432,6 +1451,12 @@ with gr.Blocks(title="Enhanced Speech Sample Analysis", theme=gr.themes.Soft())
         - Do NOT include intervention suggestions
         - Do NOT include overall assessments
         - Keep analysis focused and concise
+
+        MATHEMATICAL ACCURACY REQUIREMENTS:
+        - ALL COUNTS MUST MATCH: Individual counts must sum to claimed totals
+        - Verify your math before reporting any numbers
+        - Use precise language: "at least X" for minimum counts, "approximately X" if uncertain
+        - This analysis is for students and must be mathematically correct
         """
         
         result = call_claude_api_quick_analysis(prompt)