Update app.py
Browse files
app.py
CHANGED
|
@@ -8,54 +8,29 @@ import time
|
|
| 8 |
|
| 9 |
st.set_page_config(page_title="AIdeaText", layout="wide", page_icon="random")
|
| 10 |
|
| 11 |
-
# Función para aplicar el CSS personalizado
|
| 12 |
-
def apply_custom_css():
|
| 13 |
-
st.markdown("""
|
| 14 |
-
<style>
|
| 15 |
-
.top-bar {
|
| 16 |
-
display: flex;
|
| 17 |
-
flex-flow: row wrap;
|
| 18 |
-
justify-content: space-between;
|
| 19 |
-
align-items: baseline;
|
| 20 |
-
padding: 1rem 0;
|
| 21 |
-
background-color: #f0f2f6;
|
| 22 |
-
}
|
| 23 |
-
.navigation li:last-of-type a {
|
| 24 |
-
border-bottom: none;
|
| 25 |
-
}
|
| 26 |
-
.welcome-message {
|
| 27 |
-
font-size: 10.2rem;
|
| 28 |
-
font-weight: bold;
|
| 29 |
-
}
|
| 30 |
-
.stSelectbox {
|
| 31 |
-
min-width: 150px;
|
| 32 |
-
}
|
| 33 |
-
.stButton > button {
|
| 34 |
-
width: 100%;
|
| 35 |
-
}
|
| 36 |
-
</style>
|
| 37 |
-
""", unsafe_allow_html=True)
|
| 38 |
-
|
| 39 |
def logged_in_interface():
|
| 40 |
nlp_models = load_spacy_models()
|
| 41 |
languages = {'Español': 'es', 'English': 'en', 'Français': 'fr'}
|
| 42 |
|
| 43 |
-
# Crear
|
| 44 |
-
|
|
|
|
|
|
|
| 45 |
|
| 46 |
with col1:
|
| 47 |
st.write(f"Bienvenido, {st.session_state.username}")
|
| 48 |
|
| 49 |
-
with
|
| 50 |
selected_lang = st.selectbox("Idioma", list(languages.keys()), key="language_selector")
|
| 51 |
lang_code = languages[selected_lang]
|
| 52 |
|
| 53 |
-
with
|
| 54 |
if st.button("Cerrar Sesión"):
|
| 55 |
st.session_state.logged_in = False
|
| 56 |
st.experimental_rerun()
|
| 57 |
|
| 58 |
-
|
|
|
|
| 59 |
|
| 60 |
tab1, tab2, tab3, tab4 = st.tabs(["Análisis morfosintáctico", "Análisis semántico", "Análisis semántico discursivo", "Mi Progreso"])
|
| 61 |
|
|
|
|
| 8 |
|
| 9 |
st.set_page_config(page_title="AIdeaText", layout="wide", page_icon="random")
|
| 10 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
def logged_in_interface():
|
| 12 |
nlp_models = load_spacy_models()
|
| 13 |
languages = {'Español': 'es', 'English': 'en', 'Français': 'fr'}
|
| 14 |
|
| 15 |
+
# Crear un contenedor para la barra superior
|
| 16 |
+
with st.container():
|
| 17 |
+
# Usar más columnas para un mejor control del espacio
|
| 18 |
+
col1, col2, col3, col4, col5 = st.columns([3, 1, 2, 1, 1])
|
| 19 |
|
| 20 |
with col1:
|
| 21 |
st.write(f"Bienvenido, {st.session_state.username}")
|
| 22 |
|
| 23 |
+
with col3:
|
| 24 |
selected_lang = st.selectbox("Idioma", list(languages.keys()), key="language_selector")
|
| 25 |
lang_code = languages[selected_lang]
|
| 26 |
|
| 27 |
+
with col5:
|
| 28 |
if st.button("Cerrar Sesión"):
|
| 29 |
st.session_state.logged_in = False
|
| 30 |
st.experimental_rerun()
|
| 31 |
|
| 32 |
+
# Añadir una línea divisoria
|
| 33 |
+
st.markdown("---")
|
| 34 |
|
| 35 |
tab1, tab2, tab3, tab4 = st.tabs(["Análisis morfosintáctico", "Análisis semántico", "Análisis semántico discursivo", "Mi Progreso"])
|
| 36 |
|