Update modules/ui/ui.py
Browse files- modules/ui/ui.py +30 -10
modules/ui/ui.py
CHANGED
@@ -1004,28 +1004,48 @@ def display_discourse_results(result, lang_code, t):
|
|
1004 |
df['Frecuencia'] = df['Frecuencia'].apply(clean_and_convert)
|
1005 |
return df
|
1006 |
|
1007 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1008 |
if 'key_concepts1' in result and 'key_concepts2' in result:
|
1009 |
df1 = process_key_concepts(result['key_concepts1']).set_index('Concepto')
|
1010 |
df2 = process_key_concepts(result['key_concepts2']).set_index('Concepto')
|
1011 |
|
1012 |
-
# Crear DataFrame de comparaci贸n
|
1013 |
df_comparison = pd.concat([df1, df2], axis=1, keys=[t.get('file_uploader1', "Documento 1"), t.get('file_uploader2', "Documento 2")])
|
1014 |
df_comparison = df_comparison.fillna(0.0)
|
1015 |
|
1016 |
# Asegurarse de que todas las columnas sean float
|
1017 |
for col in df_comparison.columns:
|
1018 |
df_comparison[col] = df_comparison[col].astype(float)
|
1019 |
-
|
1020 |
-
# Mostrar informaci贸n de depuraci贸n
|
1021 |
-
#st.write("Tipos de datos de las columnas:")
|
1022 |
-
#st.write(df_comparison.dtypes)
|
1023 |
-
|
1024 |
-
#st.write("Primeros registros del DataFrame:")
|
1025 |
-
#st.write(df_comparison.head())
|
1026 |
|
1027 |
# Mostrar la tabla de comparaci贸n
|
1028 |
-
st.subheader(t.get('comparison', "Comparaci贸n de conceptos entre ambos documentos"))
|
1029 |
try:
|
1030 |
st.dataframe(df_comparison.style.format("{:.2f}"), width=1000)
|
1031 |
except Exception as e:
|
|
|
1004 |
df['Frecuencia'] = df['Frecuencia'].apply(clean_and_convert)
|
1005 |
return df
|
1006 |
|
1007 |
+
col1, col2 = st.columns(2)
|
1008 |
+
|
1009 |
+
with col1:
|
1010 |
+
with st.expander(t.get('file_uploader1', "Documento 1"), expanded=True):
|
1011 |
+
if 'graph1' in result:
|
1012 |
+
st.pyplot(result['graph1'])
|
1013 |
+
else:
|
1014 |
+
st.warning(t.get('graph_not_available', "El gr谩fico no est谩 disponible."))
|
1015 |
+
st.subheader(t.get('key_concepts', "Conceptos Clave"))
|
1016 |
+
if 'key_concepts1' in result:
|
1017 |
+
df1 = process_key_concepts(result['key_concepts1'])
|
1018 |
+
st.table(df1)
|
1019 |
+
else:
|
1020 |
+
st.warning(t.get('concepts_not_available', "Los conceptos clave no est谩n disponibles."))
|
1021 |
+
|
1022 |
+
with col2:
|
1023 |
+
with st.expander(t.get('file_uploader2', "Documento 2"), expanded=True):
|
1024 |
+
if 'graph2' in result:
|
1025 |
+
st.pyplot(result['graph2'])
|
1026 |
+
else:
|
1027 |
+
st.warning(t.get('graph_not_available', "El gr谩fico no est谩 disponible."))
|
1028 |
+
st.subheader(t.get('key_concepts', "Conceptos Clave"))
|
1029 |
+
if 'key_concepts2' in result:
|
1030 |
+
df2 = process_key_concepts(result['key_concepts2'])
|
1031 |
+
st.table(df2)
|
1032 |
+
else:
|
1033 |
+
st.warning(t.get('concepts_not_available', "Los conceptos clave no est谩n disponibles."))
|
1034 |
+
|
1035 |
+
# Comparaci贸n de conceptos clave
|
1036 |
+
st.subheader(t.get('comparison', "Comparaci贸n de conceptos entre ambos documentos"))
|
1037 |
if 'key_concepts1' in result and 'key_concepts2' in result:
|
1038 |
df1 = process_key_concepts(result['key_concepts1']).set_index('Concepto')
|
1039 |
df2 = process_key_concepts(result['key_concepts2']).set_index('Concepto')
|
1040 |
|
|
|
1041 |
df_comparison = pd.concat([df1, df2], axis=1, keys=[t.get('file_uploader1', "Documento 1"), t.get('file_uploader2', "Documento 2")])
|
1042 |
df_comparison = df_comparison.fillna(0.0)
|
1043 |
|
1044 |
# Asegurarse de que todas las columnas sean float
|
1045 |
for col in df_comparison.columns:
|
1046 |
df_comparison[col] = df_comparison[col].astype(float)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1047 |
|
1048 |
# Mostrar la tabla de comparaci贸n
|
|
|
1049 |
try:
|
1050 |
st.dataframe(df_comparison.style.format("{:.2f}"), width=1000)
|
1051 |
except Exception as e:
|