Update app.py

app.py

@@ -8,7 +8,7 @@ from chunking import chunk_text_semantic
 from llm import query_llm, extract_structured_data
 from reporting import generate_enhanced_csv, generate_enhanced_pdf
 from dashboard import generate_comprehensive_dashboard
-from validation import validate_transcript_quality, check_data_completeness
+from validation import validate_transcript_quality, check_data_completeness, verify_consensus_claims, validate_summary_quality
 
 # HuggingFace Spaces Configuration
 import os
@@ -312,7 +312,6 @@ Additional Instructions:
             summary, summary_data = generate_emergency_summary(interviewee_type)
 
         # Validate summary quality and retry if needed
-        from validation import validate_summary_quality
         summary_score, summary_issues = validate_summary_quality(
             summary,
             len(valid_results)
@@ -370,7 +369,6 @@ Please review findings carefully and verify against source data.
             print(f"[Summary] ✓ Validation passed (score: {summary_score:.2f})")
 
         # Verify consensus claims against actual data
-        from validation import verify_consensus_claims
         consensus_warnings = verify_consensus_claims(summary, valid_results)
         if consensus_warnings:
             print(f"[Warning] Consensus verification issues: {len(consensus_warnings)} found")
@@ -635,11 +633,11 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     """)
 
 if __name__ == "__main__":
-    demo.queue(
-        max_size=10,
-        api_open=False
-    ).launch(
-        server_name="0.0.0.0",
-        server_port=7860,
-        show_error=True
-    )
+demo.queue(
+    max_size=10,
+    api_open=False
+).launch(
+    server_name="0.0.0.0",
+    server_port=7860,
+    show_error=True
+)