prompt visibility updated

app.py

@@ -26,7 +26,7 @@ load_dotenv()
 
 # ── Inicialización ────────────────────────────────────────────────────────────
 
-print("🚀 Inicializando Scriptorium RAG...")
+print(" Inicializando Scriptorium RAG...")
 
 vs = VectorStore()
 
@@ -129,8 +129,9 @@ def corregir(htr_text: str, top_k: int, mostrar_prompt: bool):
 
     status = f" Corrección completada con **{result['model']}** · {vs.count()} docs en índice"
 
-    return corrected, docs_md, analysis_md, diff_md, status
-
+    #return corrected, docs_md, analysis_md, diff_md, status
+    prompt_visible = result["prompt"] if mostrar_prompt else ""
+    return corrected, docs_md, analysis_md, diff_md, status, prompt_visible
 
 def evaluar_par(htr_text: str, gt_text: str):
     if not htr_text.strip() or not gt_text.strip():
@@ -157,7 +158,7 @@ def evaluar_par(htr_text: str, gt_text: str):
         report += f"\n**Texto corregido por RAG:**\n> {result['corrected']}"
         return report
     except Exception as e:
-        return f"❌ Error: {e}"
+        return f" Error: {e}"
 
 
 def add_to_corpus(htr_text: str, gt_text: str, doc_type: str, region: str, date: str, caligrafia: str):
@@ -180,7 +181,7 @@ def add_to_corpus(htr_text: str, gt_text: str, doc_type: str, region: str, date:
         if added:
             return f" Par añadido al corpus con id `{pair_id}`. Total: {vs.count()} docs."
         else:
-            return f"ℹ Par ya existía en el corpus (id: `{pair_id}`)."
+            return f" Par ya existía en el corpus (id: `{pair_id}`)."
     except Exception as e:
         return f" Error: {e}"
 
@@ -251,12 +252,12 @@ with gr.Blocks(
                     analysis_out = gr.Markdown(label="Pattern analysis")
 
             diff_out = gr.Markdown(label="Word-by-word differences")
-            prompt_out = gr.Markdown(label="Prompt sent to the LLM", visible=False)
+            prompt_out = gr.Markdown(label="Prompt sent to the LLM", visible=True)
 
             btn_corregir.click(
                 fn=corregir,
                 inputs=[htr_input, top_k_slider, show_prompt],
-                outputs=[corrected_out, docs_out, analysis_out, diff_out, status_out],
+                outputs=[corrected_out, docs_out, analysis_out, diff_out, status_out, prompt_out],
             )
 
         # ── Pestaña 2: Evaluación ─────────────────────────────────────────────