Update modules/studentact/current_situation_interface.py

modules/studentact/current_situation_interface.py

@@ -94,22 +94,16 @@ ANALYSIS_DIMENSION_MAPPING = {
 
 def display_current_situation_interface(lang_code, nlp_models, t):
     """
-    Interfaz simplificada con gráfico de radar para visualizar métricas.
+    Interfaz con columnas de texto y resultados paralelas.
     """
-    # Inicializar estados si no existen
-    if 'text_input' not in st.session_state:
-        st.session_state.text_input = ""
-    if 'text_area' not in st.session_state:
-        st.session_state.text_area = ""
-    if 'show_results' not in st.session_state:
-        st.session_state.show_results = False
-    if 'current_doc' not in st.session_state:
-        st.session_state.current_doc = None
-    if 'current_metrics' not in st.session_state:
-        st.session_state.current_metrics = None
-        
     try:
-        # st.title("Análisis de Escritura")
+        # Inicializar estados si no existen
+        if 'text_input' not in st.session_state:
+            st.session_state.text_input = ""
+            st.session_state.baseline_metrics = None
+            st.session_state.baseline_text = None
+            st.session_state.iteration_text = ""
+            st.session_state.iteration_metrics = None
         
         # Crear cuatro columnas
         text_base_col, results_base_col, text_iter_col, results_iter_col = st.columns(4)
@@ -125,21 +119,24 @@ def display_current_situation_interface(lang_code, nlp_models, t):
                 help="Este texto servirá como línea base"
             )
             
-            baseline_button = st.button(
+            if st.button(
                 "Establecer Línea Base",
                 type="primary",
                 disabled=not text_input.strip(),
                 use_container_width=True
-            )
-
-        # Columna 2: Resultados Base
-        with results_base_col:
-            if baseline_button and text_input:
+            ):
                 with st.spinner("Analizando línea base..."):
                     doc = nlp_models[lang_code](text_input)
                     metrics = analyze_text_dimensions(doc)
-                    display_results(metrics, 'student_essay')
                     st.session_state.baseline_metrics = metrics
+                    st.session_state.baseline_text = text_input
+                    st.session_state.text_input = text_input
+
+        # Columna 2: Resultados Base
+        with results_base_col:
+            st.markdown("### Métricas Base")
+            if st.session_state.baseline_metrics:
+                display_metrics_column(st.session_state.baseline_metrics, "Base")
 
         # Columna 3: Texto Iteración
         with text_iter_col:
@@ -148,29 +145,34 @@ def display_current_situation_interface(lang_code, nlp_models, t):
                 "Nueva versión del texto:",
                 height=400,
                 key="text_area_iter",
-                help="Escribe la versión mejorada de tu texto"
+                value=st.session_state.iteration_text,
+                help="Escribe la versión mejorada de tu texto",
+                disabled=not st.session_state.baseline_metrics
             )
             
-            iterate_button = st.button(
+            if st.button(
                 "Analizar Iteración",
                 type="primary",
                 disabled=not iteration_text.strip() or not st.session_state.baseline_metrics,
                 use_container_width=True
-            )
-
-        # Columna 4: Resultados Iteración
-        with results_iter_col:
-            if iterate_button and iteration_text:
+            ):
                 with st.spinner("Analizando iteración..."):
                     doc = nlp_models[lang_code](iteration_text)
                     metrics = analyze_text_dimensions(doc)
-                    display_results(metrics, 'student_essay')
+                    st.session_state.iteration_metrics = metrics
+                    st.session_state.iteration_text = iteration_text
+
+        # Columna 4: Resultados Iteración
+        with results_iter_col:
+            st.markdown("### Métricas Iteración")
+            if st.session_state.iteration_metrics:
+                display_metrics_column(st.session_state.iteration_metrics, "Iteración")
 
         # Gráfico radar en expander debajo de las columnas
-        with st.expander("Ver Comparación Visual", expanded=False):
-            if 'baseline_metrics' in st.session_state and 'metrics' in locals():
+        if st.session_state.baseline_metrics and st.session_state.iteration_metrics:
+            with st.expander("Ver Comparación Visual", expanded=False):
                 display_radar_chart(
-                    metrics_config=prepare_metrics_config(metrics),
+                    metrics_config=prepare_metrics_config(st.session_state.iteration_metrics),
                     thresholds=TEXT_TYPES['student_essay']['thresholds'],
                     baseline_metrics=st.session_state.baseline_metrics
                 )
@@ -179,6 +181,7 @@ def display_current_situation_interface(lang_code, nlp_models, t):
         logger.error(f"Error en interfaz principal: {str(e)}")
         st.error("Ocurrió un error al cargar la interfaz")
 
+
 ###################################
 
 def display_metrics_column(metrics, title):