Update app.py

app.py

@@ -7,8 +7,7 @@ import gradio as gr
 from config import Config, VIPS_CATEGORIES
 from gdpr_filter import apply_gdpr_filter
 from models import WhisperASR, MistralClient
-from vips_classifier import classify_all
-
+from vips_classifier import classify_all, format_vips_for_display
 
 
 logger = logging.getLogger(__name__)
@@ -16,14 +15,14 @@ logger = logging.getLogger(__name__)
 asr_model      = WhisperASR()
 mistral_client = None
 
-def format_vips_output(text) -> str:
-    if isinstance(text, dict):
-        text = str(text)
+def format_vips_output(vips_dict) -> str:
+    if isinstance(vips_dict, dict):
+        return format_vips_for_display(vips_dict)
     
-    if not text or not str(text).strip():
+    if not vips_dict or not str(vips_dict).strip():
         return "No output generated"
     
-    return str(text).strip()
+    return str(vips_dict).strip()
 
 
 def _get_clients():
@@ -55,14 +54,12 @@ def _run_common(swedish_text):
     logger.info("Running GDPR filter...")
     anonymized_sv = apply_gdpr_filter(swedish_text)
 
-    # Get clients
     try:
         mc = _get_clients()
     except Exception as e:
         logger.exception("Client init failed")
         return (swedish_text, anonymized_sv, f"[FEL]: {e}", "", "", "")
 
-    # Send to Scaleway LLM
     logger.info("Running Scaleway LLM...")
     try:
         all_results = classify_all(anonymized_sv, mc)
@@ -150,6 +147,7 @@ with gr.Blocks(title="VoiceNote AI") as demo:
                                             lines=5, interactive=False)
 
         gr.Markdown("##### VIPS - TRE PROMPTSTRATEGIER", elem_classes="section-label")
+        
         with gr.Row():
             with gr.Column(elem_classes="vips-col-zero"):
                 gr.HTML("<h4>Zero-shot</h4>")
@@ -157,9 +155,10 @@ with gr.Blocks(title="VoiceNote AI") as demo:
             with gr.Column(elem_classes="vips-col-few"):
                 gr.HTML("<h4>Few-shot</h4>")
                 few_out = gr.Textbox(label="", lines=10, interactive=True)
+        
         with gr.Column(elem_classes="vips-col-cot"):
-                gr.HTML("<h4>Chain-of-Thought</h4>")
-                cot_out = gr.Textbox(label="", lines=10, interactive=True)
+            gr.HTML("<h4>Chain-of-Thought</h4>")
+            cot_out = gr.Textbox(label="", lines=10, interactive=True)
 
     with gr.Group(elem_classes="section-card"):
         gr.Markdown("##### UTVARDERING", elem_classes="section-label")
@@ -200,7 +199,6 @@ with gr.Blocks(title="VoiceNote AI") as demo:
             interactive=False,
         )
 
-    # Event handlers
     process_btn.click(
         fn=run_pipeline,
         inputs=[audio_input, text_input],
@@ -209,7 +207,6 @@ with gr.Blocks(title="VoiceNote AI") as demo:
 
     def on_save(c, h, s, cl, cm, m, p, t, pe, e, f,
                 transcription, zero, few, cot):
-        """Combine pipeline results + evaluation into ONE downloadable file."""
         if not any([c, h, s, cl]):
             return "Fyll i minst ett svar i Del 1.", None
 
@@ -247,11 +244,6 @@ with gr.Blocks(title="VoiceNote AI") as demo:
             },
         }
 
-        try:
-            save_evaluation(entry)
-        except Exception as ex:
-            logger.warning(f"Server save failed: {ex}")
-
         timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
         filename = f"/tmp/voicenote_utvardering_{timestamp}.json"
         with open(filename, "w", encoding="utf-8") as fh:
@@ -268,7 +260,6 @@ with gr.Blocks(title="VoiceNote AI") as demo:
     )
 
     def clear_all():
-        """Reset all UI fields - no data remains in interface or memory."""
         return (
             None, "",
             "", "", "", "", "",