Update app.py

app.py

@@ -843,7 +843,10 @@ def generate_molecular_report_text(best_match, entities, _foodb_index, _foodb_lo
     return "\n".join(report_lines)
 
 @st.cache_data(show_spinner=False)
-def generate_word_report_cached(report_text):
+# --- GENERADOR EFICIENTE DE REPORTE WORD ---
+def generate_word_report(report_text):
+    if not report_text:
+        return None
     try:
         template_path = os.path.join("PLANTILLAS", "PLANTILLA_INTERPRETACION.docx")
         if not os.path.exists(template_path):
@@ -851,11 +854,17 @@ def generate_word_report_cached(report_text):
             doc.add_paragraph(report_text)
         else:
             doc = docx.Document(template_path)
+            replaced = False
             for paragraph in doc.paragraphs:
                 if '<INTERPRETACION>' in paragraph.text:
                     for run in list(paragraph.runs):
                         run._element.getparent().remove(run._element)
                     paragraph.add_run(report_text)
+                    replaced = True
+                    break # Salir de inmediato tras reemplazar el tag
+            if not replaced:
+                doc.add_paragraph(report_text)
+
         doc_io = BytesIO()
         doc.save(doc_io)
         doc_io.seek(0) 
@@ -864,6 +873,7 @@ def generate_word_report_cached(report_text):
         logger.error(f"Error al generar informe Word: {e}")
         return None
 
+        
 def create_relevance_chart(results):
     top_results = results[:10]
     data = pd.DataFrame({
@@ -883,6 +893,7 @@ if 'user_query' not in st.session_state: st.session_state.user_query = ""
 if 'entities' not in st.session_state: st.session_state.entities = None
 if 'analysis_cache' not in st.session_state: st.session_state.analysis_cache = {}
 if 'has_searched' not in st.session_state: st.session_state.has_searched = False
+if 'word_bytes_cache' not in st.session_state: st.session_state.word_bytes_cache = {}
 
 col_img1, col_text, col_img2 = st.columns([1, 4, 1])
 with col_img1:
@@ -930,6 +941,8 @@ if submitted:
         st.warning("⚠️ Por favor describe tus síntomas o alimentos consumidos antes de analizar.")
 
 # --- DISPLAY DE RESULTADOS ---
+
+# --- DISPLAY DE RESULTADOS OPTIMIZADO ---
 if st.session_state.has_searched:
     results = st.session_state.search_results
     
@@ -938,6 +951,8 @@ if st.session_state.has_searched:
         st.success(f"🔎 Coincidencia Principal: **{best_match.get('condicion_asociada')}**")
         
         cache_key = f"analysis_{hash(st.session_state.user_query)}_{best_match.get('condicion_asociada')}"
+        
+        # GENERACIÓN ÚNICA DEL ANÁLISIS Y DEL DOCUMENTO WORD
         if cache_key not in st.session_state.analysis_cache:
             with st.spinner("✍️ Redactando informe..."):
                 analysis = generate_detailed_analysis(
@@ -945,6 +960,10 @@ if st.session_state.has_searched:
                     st.session_state.entities, FOOD_TO_COMPOUND_MAP, INTEGRATED_NEURO_FOOD_MAP
                 )
                 st.session_state.analysis_cache[cache_key] = analysis
+                
+                # Generar el archivo Word UNA SOLA VEZ en memoria
+                full_report = f"REPORTE\n\n{analysis}"
+                st.session_state.word_bytes_cache[cache_key] = generate_word_report(full_report)
 
         tab_main, tab_neuro, tab_mol = st.tabs(["💡 Interpretación Clínica", "🧠 Efectos Neuropsicológicos", "🔬 Análisis Molecular"])
         
@@ -962,8 +981,8 @@ if st.session_state.has_searched:
                 FOOD_NAME_TO_FOODB_KEY, COMPOUND_SYNONYM_MAP, FOOD_TO_COMPOUND_MAP, INTEGRATED_NEURO_FOOD_MAP
             ))
 
-        full_report = f"REPORTE\n\n{st.session_state.analysis_cache[cache_key]}"
-        word_bytes = generate_word_report_cached(full_report)
+        # BOTÓN DE DESCARGA RÁPIDO (Cero costo de procesamiento)
+        word_bytes = st.session_state.word_bytes_cache.get(cache_key)
         if word_bytes:
             st.download_button(
                 label="📄 Descargar Informe",