Update app.py
Browse files
app.py
CHANGED
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from flask import Flask,
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import os
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import google.generativeai as genai
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import http.client
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import json
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from
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load_dotenv()
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app = Flask(__name__)
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app.secret_key = os.
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#
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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#
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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_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
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]
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# Prompt System pour Mariam, IA conçu par youssouf
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## Personnalité Fondamentale
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Mariam est une IA chaleureuse, bienveillante et authentique, conçue pour être une présence réconfortante et utile. Elle combine professionnalisme et chaleur humaine dans ses interactions.
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[...]
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## Amélioration Continue
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- Collecter les retours des utilisateurs
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- Analyser les interactions pour identifier les points d'amélioration
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- Ajuster les réponses en fonction des retours
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- Maintenir à jour les connaissances et références
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"""
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#
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model = genai.GenerativeModel('gemini-2.0-flash-exp',
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# Fonction d'initialisation du chat dans la session
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def init_chat():
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session['chat_history'] = []
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# Fonction pour réaliser une recherche web
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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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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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print(f"
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return None
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finally:
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conn.close()
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# Mise en forme des résultats de recherche
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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
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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
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if 'peopleAlsoAsk' in data:
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result += "### Questions fréquentes:\n"
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for item in data['peopleAlsoAsk'][:2]:
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result
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return result
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if file:
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temp_dir = "temp"
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os.makedirs(temp_dir, exist_ok=True)
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temp_path = os.path.join(temp_dir, file.filename)
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file.save(temp_path)
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try:
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gemini_file = genai.upload_file(temp_path)
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return gemini_file
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except Exception as e:
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print(f"Erreur lors du téléchargement du fichier : {e}")
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return None
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return None
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# Template HTML (vous pouvez le déplacer dans un fichier template si besoin)
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template = """
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<!doctype html>
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<html>
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<head>
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<meta charset="utf-8">
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<title>Mariam AI</title>
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</head>
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<body>
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<h1>Mariam AI!</h1>
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<form method="POST" enctype="multipart/form-data">
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<div>
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<label for="prompt">Votre message :</label>
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<input type="text" id="prompt" name="prompt" required>
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</div>
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<div>
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<label for="file">Télécharger un fichier (image/document) :</label>
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<input type="file" id="file" name="file" accept=".jpg,.jpeg,.png,.mp4,.mp3,.pdf,.txt">
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</div>
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<div>
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<label for="web_search">Activer la recherche web :</label>
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<input type="checkbox" id="web_search" name="web_search">
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</div>
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<button type="submit">Envoyer</button>
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</form>
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<h2>Conversation</h2>
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<div>
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{% for message in chat_history %}
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<p><strong>{{ message.role|capitalize }} :</strong> {{ message.text }}</p>
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{% endfor %}
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</div>
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</body>
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</html>
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"""
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if web_search_enabled:
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web_results = perform_web_search(
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if web_results:
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formatted_results = format_search_results(web_results)
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try:
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if uploaded_gemini_file:
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response = chat.send_message([uploaded_gemini_file, "\n\n", prompt])
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else:
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response = chat.send_message(prompt)
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answer = response.text
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session['chat_history'].append({"role": "assistant", "text": answer})
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except Exception as e:
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session['chat_history'].append({"role": "assistant", "text": error_message})
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session.modified = True
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return redirect(url_for("index"))
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return
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if __name__ ==
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app.run(debug=True)
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from flask import Flask, render_template, request, jsonify, session
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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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from werkzeug.utils import secure_filename
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import tempfile
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app = Flask(__name__)
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app.secret_key = os.urandom(24) # For session management
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load_dotenv()
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# Configure Google AI
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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# Safety settings
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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_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
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]
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# System prompt
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SYSTEM_PROMPT = """
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# Prompt System pour Mariam, IA conçu par youssouf
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[Your existing system prompt content here]
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"""
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# Initialize Gemini model
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model = genai.GenerativeModel('gemini-2.0-flash-exp',
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tools='code_execution',
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safety_settings=safety_settings,
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system_instruction=SYSTEM_PROMPT)
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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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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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print(f"Web search error: {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.append({
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'type': 'knowledge',
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'title': kg.get('title', ''),
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'description': kg.get('description', ''),
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'category': kg.get('type', '')
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})
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if 'organic' in data:
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for item in data['organic'][:3]:
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result.append({
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'type': 'organic',
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'title': item['title'],
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'snippet': item['snippet'],
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'link': item['link']
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})
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if 'peopleAlsoAsk' in data:
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for item in data['peopleAlsoAsk'][:2]:
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result.append({
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'type': 'question',
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'question': item['question'],
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'answer': item['snippet']
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})
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return result
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UPLOAD_FOLDER = 'temp'
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ALLOWED_EXTENSIONS = {'jpg', 'jpeg', 'png', 'pdf', 'txt', 'mp3', 'mp4'}
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os.makedirs(UPLOAD_FOLDER, exist_ok=True)
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def allowed_file(filename):
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return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
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@app.route('/')
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def home():
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if 'chat_history' not in session:
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session['chat_history'] = []
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return render_template('index.html', messages=session['chat_history'])
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@app.route('/send_message', methods=['POST'])
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def send_message():
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try:
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data = request.json
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message = data.get('message')
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web_search_enabled = data.get('web_search', False)
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if not message:
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return jsonify({'error': 'No message provided'}), 400
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# Initialize chat if not in session
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if 'chat' not in session:
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session['chat'] = model.start_chat(history=[])
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# Perform web search if enabled
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web_results = None
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if web_search_enabled:
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web_results = perform_web_search(message)
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if web_results:
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formatted_results = format_search_results(web_results)
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message = f"""Question: {message}\n\nRésultats de recherche web:\n{formatted_results}\n\nPourrais-tu analyser ces informations et me donner une réponse complète?"""
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# Send message to Gemini
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response = session['chat'].send_message(message)
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# Update chat history
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session['chat_history'].append({
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'role': 'user',
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'content': message
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})
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session['chat_history'].append({
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'role': 'assistant',
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'content': response.text
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})
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return jsonify({
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'response': response.text,
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'web_results': web_results
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})
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except Exception as e:
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return jsonify({'error': str(e)}), 500
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@app.route('/upload', methods=['POST'])
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def upload_file():
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if 'file' not in request.files:
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return jsonify({'error': 'No file part'}), 400
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file = request.files['file']
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if file.filename == '':
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return jsonify({'error': 'No selected file'}), 400
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if file and allowed_file(file.filename):
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filename = secure_filename(file.filename)
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filepath = os.path.join(UPLOAD_FOLDER, filename)
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file.save(filepath)
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try:
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gemini_file = genai.upload_file(filepath)
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return jsonify({'success': True, 'filename': filename})
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except Exception as e:
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return jsonify({'error': str(e)}), 500
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return jsonify({'error': 'Invalid file type'}), 400
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@app.route('/clear_chat', methods=['POST'])
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def clear_chat():
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session.pop('chat_history', None)
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session.pop('chat', None)
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return jsonify({'success': True})
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if __name__ == '__main__':
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app.run(debug=True)
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