app.py

import streamlit as st
import google.generativeai as genai
import os
from dotenv import load_dotenv
import http.client
import json
import uuid
import requests  # pour envoyer le fichier sur Telegram

load_dotenv()

# Configure l'API de Gemini
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

# Récupère les variables d'environnement pour Telegram
TELEGRAM_BOT_TOKEN = os.getenv("TELEGRAM_BOT_TOKEN")
TELEGRAM_CHAT_ID = os.getenv("TELEGRAM_CHAT_ID")

safety_settings = [
    {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
]

model = genai.GenerativeModel('gemini-2.0-flash-exp', tools='code_execution',
                              safety_settings=safety_settings,
                              system_instruction="Tu es un assistant intelligent. ton but est d'assister au mieux que tu peux. tu as été créé par Aenir et tu t'appelles Mariam")

def perform_web_search(query):
    conn = http.client.HTTPSConnection("google.serper.dev")
    payload = json.dumps({"q": query})
    headers = {
        'X-API-KEY': '9b90a274d9e704ff5b21c0367f9ae1161779b573',
        'Content-Type': 'application/json'
    }
    try:
        conn.request("POST", "/search", payload, headers)
        res = conn.getresponse()
        data = json.loads(res.read().decode("utf-8"))
        return data
    except Exception as e:
        st.error(f"Erreur lors de la recherche web : {e}")
        return None
    finally:
        conn.close()

def format_search_results(data):
    if not data:
        return "Aucun résultat trouvé"
    
    result = ""
    
    # Knowledge Graph
    if 'knowledgeGraph' in data:
        kg = data['knowledgeGraph']
        result += f"### {kg.get('title', '')}\n"
        result += f"*{kg.get('type', '')}*\n\n"
        result += f"{kg.get('description', '')}\n\n"
    
    # Organic Results
    if 'organic' in data:
        result += "### Résultats principaux:\n"
        for item in data['organic'][:3]:
            result += f"- **{item['title']}**\n"
            result += f"  {item['snippet']}\n"
            result += f"  [Lien]({item['link']})\n\n"
    
    # People Also Ask
    if 'peopleAlsoAsk' in data:
        result += "### Questions fréquentes:\n"
        for item in data['peopleAlsoAsk'][:2]:
            result += f"- **{item['question']}**\n"
            result += f"  {item['snippet']}\n\n"
    
    return result

def role_to_streamlit(role):
    return "assistant" if role == "model" else role

# --- Gestion de la session et sauvegarde de l'historique ---

if "session_id" not in st.session_state:
    st.session_state.session_id = str(uuid.uuid4())

def save_chat_history():
    history_data = []
    for message in st.session_state.chat.history:
        history_data.append({
            "role": message.role,
            "text": message.parts[0].text
        })
    file_name = f"chat_history_{st.session_state.session_id}.json"
    with open(file_name, "w", encoding="utf-8") as f:
        json.dump(history_data, f, ensure_ascii=False, indent=4)
    return file_name  # On retourne le nom du fichier pour pouvoir l'envoyer ensuite

def send_file_to_telegram(file_path):
    if TELEGRAM_BOT_TOKEN is None or TELEGRAM_CHAT_ID is None:
        st.error("Les variables d'environnement TELEGRAM_BOT_TOKEN ou TELEGRAM_CHAT_ID ne sont pas définies.")
        return

    url = f"https://api.telegram.org/bot{TELEGRAM_BOT_TOKEN}/sendDocument"
    try:
        with open(file_path, "rb") as file:
            files = {"document": file}
            data = {"chat_id": TELEGRAM_CHAT_ID, "caption": "Historique de chat"}
            response = requests.post(url, data=data, files=files)
            if response.status_code == 200:
                st.success("Fichier envoyé sur Telegram avec succès!")
            else:
                st.error(f"Erreur lors de l'envoi sur Telegram: {response.text}")
    except Exception as e:
        st.error(f"Erreur lors de l'ouverture du fichier ou l'envoi: {e}")

if "chat" not in st.session_state:
    st.session_state.chat = model.start_chat(history=[])
if "web_search" not in st.session_state:
    st.session_state.web_search = False

st.title("Mariam AI!")

with st.sidebar:
    st.title("Paramètres")
    st.session_state.web_search = st.toggle("Activer la recherche web", value=st.session_state.web_search)

uploaded_file = st.file_uploader("Télécharger un fichier (image/document)", type=['jpg', 'mp4', 'mp3', 'jpeg', 'png', 'pdf', 'txt'])

for message in st.session_state.chat.history:
    with st.chat_message(role_to_streamlit(message.role)):
        st.markdown(message.parts[0].text)

def process_uploaded_file(file):
    if file is not None:
        os.makedirs("temp", exist_ok=True)
        temp_file_path = os.path.join("temp", file.name)
        with open(temp_file_path, "wb") as f:
            f.write(file.getbuffer())
        try:
            gemini_file = genai.upload_file(temp_file_path)
            return gemini_file
        except Exception as e:
            st.error(f"Erreur lors du téléchargement du fichier : {e}")
            return None

if prompt := st.chat_input("Hey?"):
    uploaded_gemini_file = None
    if uploaded_file:
        uploaded_gemini_file = process_uploaded_file(uploaded_file)
    
    st.chat_message("user").markdown(prompt)
    
    try:
        web_results = None
        if st.session_state.web_search:
            with st.spinner("Recherche web en cours..."):
                web_results = perform_web_search(prompt)
                if web_results:
                    formatted_results = format_search_results(web_results)
                    prompt = f"""Question: {prompt}\n\nRésultats de recherche web:\n{formatted_results}\n\nPourrais-tu analyser ces informations et me donner une réponse complète?"""
        
        if uploaded_gemini_file:
            response = st.session_state.chat.send_message([uploaded_gemini_file, "\n\n", prompt])
        else:
            response = st.session_state.chat.send_message(prompt)
        
        with st.chat_message("assistant"):
            st.markdown(response.text)

        # Sauvegarde de l'historique et récupération du nom de fichier
        file_name = save_chat_history()

        # Optionnel : envoyer le fichier sur Telegram
        send_file_to_telegram(file_name)
    
    except Exception as e:
        st.error(f"Erreur lors de l'envoi du message : {e}")