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Socket CEO Feross Aboukhadijeh joins Insecure Agents to discuss CVE remediation and why supply chain attacks require a different security approach.
st-image-carousel
Advanced tools
Un composant Streamlit personnalisé pour créer des carrousels d'images interactifs et modernes avec navigation infinie et personnalisation complète.
result = image_carousel(
images=images,
key="basic_carousel"
)
result = image_carousel(
images=images,
max_visible=7,
key="large_carousel"
)
result = image_carousel(
images=images,
orientation="vertical",
max_visible=5,
key="vertical_carousel"
)
result = image_carousel(
images=images,
max_visible=5,
background_color="#0f0f23",
active_border_color="#00ff88",
active_glow_color="rgba(0, 255, 136, 0.6)",
fallback_background="#1a1a2e",
fallback_gradient_end="#0a0a1a",
text_color="#ffffff",
arrow_color="#00ff88",
key="dark_theme"
)
result = image_carousel(
images=images,
max_visible=5,
background_color="#f8fafc",
active_border_color="#3b82f6",
active_glow_color="rgba(59, 130, 246, 0.5)",
fallback_background="#e2e8f0",
fallback_gradient_end="#cbd5e1",
text_color="#1e293b",
arrow_color="#3b82f6",
key="light_theme"
)
result = image_carousel(
images=images,
selected_image="Lionel Messi", # Image centrée au démarrage
background_color="#1e3a8a",
active_border_color="#fbbf24",
active_glow_color="rgba(251, 191, 36, 0.7)",
text_color="#ffffff",
key="preselected"
)
| Paramètre | Type | Défaut | Description |
|---|---|---|---|
images | list | Requis | Liste des images [{"name": "nom", "url": "url"}, ...] |
selected_image | str | None | Nom de l'image à centrer au démarrage |
max_visible | int | 5 | Nombre d'images visibles simultanément |
orientation | str | "horizontal" | Orientation : "horizontal" ou "vertical" |
background_color | str | "#1a1a2e" | Couleur de fond du composant |
active_border_color | str | "#ffffff" | Couleur de bordure de l'image active |
active_glow_color | str | "rgba(255, 255, 255, 0.5)" | Couleur de l'effet de lueur |
fallback_background | str | "#2a2a3e" | Couleur de fond des images en chargement |
fallback_gradient_end | str | "rgb(0, 0, 0)" | Couleur de fin du gradient de fallback |
text_color | str | "#ffffff" | Couleur du texte des noms |
arrow_color | str | "#ffffff" | Couleur des flèches de navigation |
key | str | None | Clé unique pour Streamlit |
images = [
{
"name": "Nom affiché", # Requis : texte sous l'image
"url": "https://example.com/..." # Requis : URL ou Base64
},
# ... autres images
]
Le composant retourne un dictionnaire :
{
"selected_image": "Nom de l'image", # Nom de l'image sélectionnée
"selected_url": "URL de l'image", # URL de l'image sélectionnée
"current_index": 2 # Index de l'image (0-based)
}
import streamlit as st
from st_image_carousel import image_carousel
# Images de joueurs
players = [
{"name": "Lionel Messi", "url": "https://example.com/messi.jpg"},
{"name": "Cristiano Ronaldo", "url": "https://example.com/ronaldo.jpg"},
# ... autres joueurs
]
# Barre de recherche
search = st.text_input("🔍 Rechercher un joueur")
# Filtrer les résultats
if search:
filtered_players = [p for p in players if search.lower() in p["name"].lower()]
if filtered_players:
st.success(f"✅ {len(filtered_players)} joueur(s) trouvé(s)")
else:
st.warning("❌ Aucun joueur trouvé")
filtered_players = players
else:
filtered_players = players
# Carrousel avec résultats
result = image_carousel(
images=filtered_players,
max_visible=5,
key="search_carousel"
)
# Afficher les informations
if result:
st.success(f"Joueur sélectionné : {result['selected_image']}")
st.image(result['selected_url'], width=200)
import base64
def image_to_base64(image_path):
with open(image_path, "rb") as file:
return f"data:image/jpeg;base64,{base64.b64encode(file.read()).decode()}"
images = [
{
"name": "Image locale",
"url": image_to_base64("path/to/image.jpg")
}
]
col1, col2 = st.columns(2)
with col1:
st.subheader("📏 Horizontal")
result_h = image_carousel(
images=images,
orientation="horizontal",
max_visible=5,
key="horizontal"
)
with col2:
st.subheader("📐 Vertical")
result_v = image_carousel(
images=images,
orientation="vertical",
max_visible=5,
key="vertical"
)
gaming_theme = {
"background_color": "#0f0f23",
"active_border_color": "#00ff88",
"active_glow_color": "rgba(0, 255, 136, 0.6)",
"fallback_background": "#1a1a2e",
"fallback_gradient_end": "#0a0a1a",
"text_color": "#ffffff",
"arrow_color": "#00ff88"
}
business_theme = {
"background_color": "#f8fafc",
"active_border_color": "#3b82f6",
"active_glow_color": "rgba(59, 130, 246, 0.5)",
"fallback_background": "#e2e8f0",
"fallback_gradient_end": "#cbd5e1",
"text_color": "#1e293b",
"arrow_color": "#3b82f6"
}
sport_theme = {
"background_color": "#1e3a8a",
"active_border_color": "#fbbf24",
"active_glow_color": "rgba(251, 191, 36, 0.7)",
"fallback_background": "#3b82f6",
"fallback_gradient_end": "#1e40af",
"text_color": "#ffffff",
"arrow_color": "#fbbf24"
}
FAQs
Un composant Streamlit pour afficher un carrousel d'images
We found that st-image-carousel demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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