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Update app.py
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app.py
CHANGED
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import streamlit as st
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from PIL import Image
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import
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# Configuration de la page
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st.set_page_config(
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initial_sidebar_state="expanded"
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# --- Fonctions
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def
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"""
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# --- CSS Personnalisé ---
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st.markdown(
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"""
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<style>
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font-weight: 800;
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padding: 0.5em;
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margin-bottom: 0.5em;
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background-color: #ecf0f1; /* Fond gris clair */
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border-radius: 10px; /* Coins arrondis */
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box-shadow: 3px 3px 5px #888888; /* Ombre légère */
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}
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/* Introduction */
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.intro {
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text-align: center;
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font-size: 1.3em;
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margin-bottom: 2em;
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color: #34495e; /* Gris bleu */
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}
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/* Conteneurs */
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.container {
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background-color: white;
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border-radius: 10px;
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padding: 1.5em;
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margin-bottom: 1em;
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box-shadow: 2px 2px 4px #888888;
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}
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/* Bouton */
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.stButton>button {
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background-color: #007bff; /* Bleu vif */
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color: white;
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padding: 0.8em 1.8em;
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border-radius: 25px; /* Coins très arrondis */
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font-weight: 600;
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font-size: 1.1em;
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transition: all 0.3s ease; /* Transition douce */
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}
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.stButton>button:hover {
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background-color: #0056b3; /* Bleu plus foncé au survol */
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transform: translateY(-2px); /* Léger déplacement vers le haut */
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box-shadow: 0px 4px 8px rgba(0, 0, 0, 0.2); /* Ombre plus prononcée au survol */
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}
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/* Uploader de fichiers */
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.stFileUploader {
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padding: 1.5em;
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border: 2px dashed #007bff;
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border-radius: 10px;
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}
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/* Radio buttons */
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.stRadio>div>label {
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font-weight: 600;
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color:
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color:
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}
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color:
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}
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color:
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</style>
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""",
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unsafe_allow_html=True
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)
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# --- Titre
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st.
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# ---
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col1, col2 = st.columns(2)
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with col1:
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# Téléchargement d'images
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uploaded_files = st.file_uploader("Choisissez des images", type=["jpg", "jpeg", "png"], accept_multiple_files=True)
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st.markdown("</div>", unsafe_allow_html=True)
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#
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if uploaded_files:
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st.
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st.write("Aperçu des images :")
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for uploaded_file in uploaded_files:
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with col2:
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"Choisissez le type d'analyse :",
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(
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"🔍 Type 1: Détection d'objets",
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"🧠 Type 2: Analyse de texte"
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),
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format_func=lambda x: x.split(":")[1] # Affiche uniquement la description
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)
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st.markdown("</div>", unsafe_allow_html=True)
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# Bouton de soumission
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st.
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if st.button("🚀 Lancer l'analyse"):
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if uploaded_files:
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st.write("Type d'analyse sélectionné :",
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with st.spinner(
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#
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elif "Type 2" in analysis_type:
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simulate_analysis_type_2(image)
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st.success("✅ Analyse terminée !")
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else:
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st.warning("⚠️ Veuillez télécharger au moins une image.")
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st.markdown("</div>", unsafe_allow_html=True)
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# --- Pied de page ---
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st.markdown("
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import streamlit as st
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from PIL import Image
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import numpy as np
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# Configuration de la page
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st.set_page_config(
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initial_sidebar_state="expanded"
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)
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# --- Fonctions pour effets visuels ---
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def gradient_background(start_color, end_color):
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"""Génère un fond dégradé."""
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st.markdown(
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f"""
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<style>
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body {{
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background: linear-gradient(to right, {start_color}, {end_color});
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background-size: 120% 120%;
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animation: gradient 5s ease infinite;
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}}
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@keyframes gradient {{
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0% {{ background-position: 0% 50%; }}
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50% {{ background-position: 100% 50%; }}
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100% {{ background-position: 0% 50%; }}
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}}
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</style>
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""",
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unsafe_allow_html=True
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)
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def neon_effect(text, color):
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"""Ajoute un effet néon à un texte."""
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return f"<span style='color: {color}; text-shadow: 0 0 5px {color};'>{text}</span>"
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# --- Couleurs ---
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start_color = "#0078D7" # Bleu Microsoft
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end_color = "#00B294" # Vert émeraude
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text_color = "#FFFFFF" # Blanc
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neon_blue = "#66CCFF" # Bleu néon
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# --- Appliquer le fond dégradé ---
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gradient_background(start_color, end_color)
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# --- CSS Personnalisé ---
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st.markdown(
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f"""
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<style>
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.stApp {{
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font-family: 'Segoe UI', sans-serif;
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}}
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.stFileUploader {{
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padding: 1.5rem;
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border: 3px dashed {neon_blue};
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border-radius: 1rem;
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}}
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.stRadio>div>label {{
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font-weight: 600;
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color: {text_color};
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padding: 0.75rem 1.5rem;
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margin-bottom: 0.5rem;
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border-radius: 0.5rem;
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border: 2px solid {neon_blue};
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background-color: rgba(0, 0, 0, 0.2);
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}}
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.stRadio>div>label:hover {{
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background-color: {neon_blue};
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color: black;
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}}
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.stButton>button {{
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background-color: {neon_blue};
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color: black;
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padding: 0.75rem 1.5rem;
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border-radius: 0.5rem;
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font-weight: bold;
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box-shadow: 0 0 10px {neon_blue};
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transition: all 0.3s ease;
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}}
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.stButton>button:hover {{
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transform: scale(1.05);
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box-shadow: 0 0 15px {neon_blue};
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}}
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.st-bb {{
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border-bottom: 3px solid {neon_blue};
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}}
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.st-eb, .st-ec, .st-ed, .st-ee, .st-ef, .st-eg, .st-eh, .st-ei, .st-ej {{
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color: {text_color};
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}}
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.uploadedFiles {{
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color: {neon_blue}
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}}
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.uploadedFile {{
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color: {neon_blue};
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font-weight: bold;
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}}
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</style>
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""",
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unsafe_allow_html=True
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)
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# --- Titre avec effet néon ---
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st.title(neon_effect("✨ Mariam Anglais ✨", neon_blue))
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# --- Introduction ---
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st.markdown(f"<p style='color: {text_color}; font-size: 1.2rem;'>Bienvenue sur votre plateforme d'analyse d'images intelligente ! Téléchargez vos images, choisissez votre type d'analyse, et laissez la magie opérer.</p>", unsafe_allow_html=True)
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# --- Colonnes ---
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col1, col2 = st.columns(2)
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with col1:
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# --- Téléchargement d'images ---
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uploaded_files = st.file_uploader("Choisissez des images", type=["jpg", "jpeg", "png"], accept_multiple_files=True)
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# --- Effet sur les images téléchargées ---
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if uploaded_files:
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st.write(f"<p style='color: {neon_blue}; font-weight: bold; font-size: 1.1rem;'>Aperçu des images :</p>", unsafe_allow_html=True)
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for uploaded_file in uploaded_files:
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img = Image.open(uploaded_file)
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img = np.array(img)
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st.image(img, width=200, use_column_width='auto', output_format='JPEG')
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with col2:
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# --- Choix du type d'analyse avec effet néon ---
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analysis_type = st.radio("Choisissez le type d'analyse :",
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(neon_effect("🔍 Type 1", neon_blue), neon_effect("🧠 Type 2", neon_blue)))
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# --- Bouton de soumission avec effet néon ---
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if st.button("🚀 Soumettre"):
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if uploaded_files:
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st.write(f"<p style='color: {text_color};'>Type d'analyse sélectionné : {analysis_type}</p>", unsafe_allow_html=True)
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with st.spinner(neon_effect("Analyse en cours...", neon_blue)):
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# Insérez ici le code pour effectuer l'analyse d'image
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import time
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time.sleep(3)
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st.success(neon_effect("✅ Analyse terminée !", neon_blue))
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else:
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st.warning(neon_effect("⚠️ Veuillez télécharger au moins une image.", neon_blue))
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# --- Pied de page ---
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st.markdown("---")
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st.write(f"<p style='color: {text_color};'>© 2023 Mariam Anglais - Tous droits réservés.</p>", unsafe_allow_html=True)
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