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GMARTINEZMILLA
commited on
Update app.py
Browse filesRemoved lottie loading
app.py
CHANGED
@@ -13,7 +13,6 @@ from sklearn.metrics import mean_absolute_error, mean_squared_error
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from joblib import dump, load
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from utils import recomienda_tf
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from utils import retroalimentacion
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from streamlit_lottie import st_lottie
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import requests
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@@ -21,7 +20,7 @@ import requests
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st.set_page_config(page_title="DeepInsightz", page_icon=":bar_chart:", layout="wide")
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# Custom CSS for dynamic theme styling
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#
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if st.get_option("theme.base") == "dark":
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background_color = "#282828"
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text_color = "white"
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@@ -39,7 +38,6 @@ else:
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primary_color = '#228B22' # for positive delta in light mode
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negative_color = '#8B0000' # for negative delta in light mode
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# Load custom CSS for dynamic theme and Lottie animation
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st.markdown(f"""
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<style>
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body {{
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@@ -62,42 +60,9 @@ st.markdown(f"""
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[data-testid="stSidebar"] {{
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background-color: {sidebar_color};
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}}
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.overlay {{
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position: fixed;
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top: 0;
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left: 0;
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width: 100%;
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height: 100%;
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display: flex;
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justify-content: center;
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align-items: center;
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background-color: rgba(0, 0, 0, 0.5);
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z-index: 1000;
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transition: opacity 0.5s ease;
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}}
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.overlay.hidden {{
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display: none;
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}}
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.overlay.active {{
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opacity: 1;
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pointer-events: all;
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}}
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.overlay.inactive {{
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opacity: 0;
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pointer-events: none;
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}}
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</style>
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""", unsafe_allow_html=True)
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# Function to show Lottie animation as an overlay
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def display_lottie_animation(show_animation):
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if show_animation:
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st.markdown('<div class="overlay active">', unsafe_allow_html=True)
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st_lottie(lottie_animation, height=300, width=300)
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st.markdown('</div>', unsafe_allow_html=True)
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else:
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st.markdown('<div class="overlay inactive hidden">', unsafe_allow_html=True)
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# Load CSV files at the top
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df = pd.read_csv("df_clean.csv")
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nombres_proveedores = pd.read_csv("nombres_proveedores.csv", sep=';')
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@@ -154,13 +119,6 @@ def get_supplier_name(code):
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name = nombres_proveedores[nombres_proveedores['codigo'] == code]['nombre'].values
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return name[0] if len(name) > 0 else code
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def load_lottie_file(filepath: str):
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with open(filepath, 'r') as f:
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return json.load(f)
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# Load the animation
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lottie_animation = load_lottie_file("LoadingAnimation/Animation.json")
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def image_exists(url):
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"""Verifica si la imagen existe en la URL proporcionada"""
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response = requests.head(url)
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@@ -969,12 +927,11 @@ elif page == "馃挕 Recomendaci贸n de Art铆culos":
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with col2:
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# Mostrar la descripci贸n del art铆culo
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st.write(f"**{description}**(C贸digo: {code})")
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st.rerun()
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# A帽adir un bot贸n estilizado "Calcular" con icono
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if st.button("馃洅 Obtener Recomendaciones"):
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from joblib import dump, load
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from utils import recomienda_tf
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from utils import retroalimentacion
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import requests
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st.set_page_config(page_title="DeepInsightz", page_icon=":bar_chart:", layout="wide")
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# Custom CSS for dynamic theme styling
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# Streamlit detects light and dark mode automatically via the user's settings in Hugging Face Spaces
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if st.get_option("theme.base") == "dark":
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background_color = "#282828"
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text_color = "white"
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primary_color = '#228B22' # for positive delta in light mode
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negative_color = '#8B0000' # for negative delta in light mode
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st.markdown(f"""
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<style>
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body {{
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[data-testid="stSidebar"] {{
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background-color: {sidebar_color};
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}}
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</style>
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""", unsafe_allow_html=True)
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# Load CSV files at the top
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df = pd.read_csv("df_clean.csv")
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nombres_proveedores = pd.read_csv("nombres_proveedores.csv", sep=';')
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name = nombres_proveedores[nombres_proveedores['codigo'] == code]['nombre'].values
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return name[0] if len(name) > 0 else code
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def image_exists(url):
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"""Verifica si la imagen existe en la URL proporcionada"""
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response = requests.head(url)
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with col2:
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# Mostrar la descripci贸n del art铆culo
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st.write(f"**{description}**(C贸digo: {code})")
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with st.spinner("Actualizando Cesta..."):
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# A帽adir el art铆culo seleccionado a la cesta
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if code not in st.session_state['new_basket']:
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st.session_state['new_basket'].append(code)
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st.rerun()
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# A帽adir un bot贸n estilizado "Calcular" con icono
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if st.button("馃洅 Obtener Recomendaciones"):
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