Delete app.py
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app.py
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import streamlit as st
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import google.generativeai as genai
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import os
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from dotenv import load_dotenv
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import http.client
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import json
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import shutil
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import streamlit.components.v1 as components
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# Charger les variables d'environnement
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load_dotenv()
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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# Paramètres de sécurité
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safety_settings = [
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{"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
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{"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
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{"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"},
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{"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
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]
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# Instructions système (inchangées pour brièveté)
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ss = """
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# Prompt System pour Mariam, IA conçu par youssouf
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[...]
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"""
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model = genai.GenerativeModel('gemini-2.0-flash-exp', tools='code_execution',
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safety_settings=safety_settings,
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system_instruction=ss)
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# Fonctions de recherche web (inchangées)
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def perform_web_search(query):
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conn = http.client.HTTPSConnection("google.serper.dev")
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payload = json.dumps({"q": query})
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headers = {'X-API-KEY': '9b90a274d9e704ff5b21c0367f9ae1161779b573', 'Content-Type': 'application/json'}
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try:
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conn.request("POST", "/search", payload, headers)
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res = conn.getresponse()
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data = json.loads(res.read().decode("utf-8"))
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return data
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except Exception as e:
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st.error(f"Erreur lors de la recherche web : {e}")
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return None
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finally:
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conn.close()
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def format_search_results(data):
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if not data:
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return "Aucun résultat trouvé"
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result = ""
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if 'knowledgeGraph' in data:
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kg = data['knowledgeGraph']
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result += f"### {kg.get('title', '')}\n*{kg.get('type', '')}*\n\n{kg.get('description', '')}\n\n"
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if 'organic' in data:
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result += "### Résultats principaux:\n"
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for item in data['organic'][:3]:
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result += f"- **{item['title']}**\n {item['snippet']}\n [Lien]({item['link']})\n\n"
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return result
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# Initialisation de l’état
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if "chat" not in st.session_state:
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st.session_state.chat = model.start_chat(history=[])
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if "web_search" not in st.session_state:
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st.session_state.web_search = False
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if "messages" not in st.session_state:
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st.session_state.messages = []
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# Fonction pour effacer l’historique
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def clear_chat_history():
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st.session_state.chat = model.start_chat(history=[])
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st.session_state.messages = []
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# CSS personnalisé pour mobile
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st.markdown("""
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<style>
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.chat-container {
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height: 60vh;
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overflow-y: auto;
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padding: 10px;
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background-color: #f9f9f9;
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border-radius: 10px;
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}
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.user-message {
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background-color: #007bff;
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color: white;
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padding: 10px;
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border-radius: 10px;
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margin: 5px 0;
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max-width: 80%;
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align-self: flex-end;
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}
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.assistant-message {
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background-color: #e9ecef;
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color: black;
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padding: 10px;
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border-radius: 10px;
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margin: 5px 0;
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max-width: 80%;
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}
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.input-container {
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position: fixed;
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bottom: 0;
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width: 100%;
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padding: 10px;
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background-color: white;
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box-shadow: 0 -2px 5px rgba(0,0,0,0.1);
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}
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@media (max-width: 600px) {
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.chat-container {
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height: 70vh;
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}
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.stTextArea textarea {
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height: 80px !important;
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}
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}
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</style>
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""", unsafe_allow_html=True)
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# Titre
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st.title("Mariam AI")
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# Section des paramètres (expansible)
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with st.expander("Paramètres"):
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st.session_state.web_search = st.toggle("Activer la recherche web", value=st.session_state.web_search,
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help="Permet des réponses enrichies avec des données du web.")
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if st.button("Effacer l’historique"):
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clear_chat_history()
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st.success("Historique effacé.")
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# Section de téléchargement
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with st.expander("Télécharger un fichier"):
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st.info("Types acceptés : jpg, jpeg, png, pdf, txt")
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uploaded_file = st.file_uploader("Choisir un fichier", type=['jpg', 'jpeg', 'png', 'pdf', 'txt'])
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# Zone de conversation
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st.markdown('<div class="chat-container">', unsafe_allow_html=True)
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for message in st.session_state.messages:
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if message["role"] == "user":
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st.markdown(f'<div class="user-message">{message["content"]}</div>', unsafe_allow_html=True)
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else:
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st.markdown(f'<div class="assistant-message">{message["content"]}</div>', unsafe_allow_html=True)
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st.markdown('</div>', unsafe_allow_html=True)
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# JavaScript pour défiler automatiquement
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components.html("""
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<script>
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const chatContainer = document.querySelector('.chat-container');
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chatContainer.scrollTop = chatContainer.scrollHeight;
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</script>
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""")
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# Zone de saisie
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st.markdown('<div class="input-container">', unsafe_allow_html=True)
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user_input = st.text_area("Votre message", height=80, key="input")
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col1, col2 = st.columns([3, 1])
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with col1:
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pass
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with col2:
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send_button = st.button("Envoyer")
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st.markdown('</div>', unsafe_allow_html=True)
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# Traitement de l’entrée utilisateur
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if send_button and user_input:
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st.session_state.messages.append({"role": "user", "content": user_input})
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# Traitement du fichier
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uploaded_gemini_file = None
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if uploaded_file:
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file_ext = uploaded_file.name.split('.')[-1].lower()
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if file_ext in ['jpg', 'jpeg', 'png', 'pdf', 'txt']:
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with open(os.path.join("temp", uploaded_file.name), "wb") as f:
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f.write(uploaded_file.getbuffer())
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try:
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uploaded_gemini_file = genai.upload_file(os.path.join("temp", uploaded_file.name))
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except Exception as e:
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st.error(f"Erreur lors de l’upload : {e}")
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else:
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st.error("Type de fichier non accepté.")
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# Recherche web
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web_results = None
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if st.session_state.web_search:
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with st.spinner("Recherche web en cours..."):
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web_results = perform_web_search(user_input)
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if web_results:
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formatted_results = format_search_results(web_results)
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user_input = f"{user_input}\n\nRésultats de recherche :\n{formatted_results}\nAnalyse ces informations et réponds-moi."
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# Réponse de Mariam
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try:
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if uploaded_gemini_file:
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response = st.session_state.chat.send_message([uploaded_gemini_file, "\n\n", user_input])
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else:
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response = st.session_state.chat.send_message(user_input)
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st.session_state.messages.append({"role": "assistant", "content": response.text})
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except Exception as e:
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st.error(f"Erreur : {e}")
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# Nettoyage
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if uploaded_file:
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shutil.rmtree("temp", ignore_errors=True)
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os.makedirs("temp", exist_ok=True)
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# Rafraîchir la page pour afficher la réponse
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st.rerun()
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