app.py

from flask import Flask, render_template, request, jsonify
import google.generativeai as genai
import os
from PIL import Image
import tempfile

app = Flask(__name__)

# Configuration de l'API Gemini
token = os.environ.get("TOKEN")
genai.configure(api_key=token)

generation_config = {
    "temperature": 1,
    "max_output_tokens": 8192,
}

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(
    model_name="gemini-1.5-flash-latest",
    generation_config=generation_config,
    safety_settings=safety_settings
)

def generate_table(image):
    """Génère le tableau d'analyse à partir de l'image"""
    prompt = "Fais un tableau des outils à utiliser pour ce commentaire composé. Je veux les outils, repérage, et interprétation."
    response = model.generate_content([prompt, image])
    return response.text

def generate_dissertation(tableau):
    """Génère la dissertation basée sur le tableau"""
    prompt = f"""En utilisant ce tableau d'analyse :
    {tableau}
    
    Génère une dissertation structurée qui analyse."""
    response = model.generate_content(prompt)
    return response.text

@app.route('/')
def index():
    return render_template('index.html')

@app.route('/analyze', methods=['POST'])
def analyze():
    if 'image' not in request.files:
        return jsonify({'error': 'No image uploaded'}), 400
    
    image_file = request.files['image']
    
    # Sauvegarder temporairement l'image
    with tempfile.NamedTemporaryFile(delete=False) as temp_file:
        image_file.save(temp_file.name)
        image = Image.open(temp_file.name)
    
    try:
        # Première génération : le tableau
        tableau = generate_table(image)
        
        # Deuxième génération : la dissertation
        dissertation = generate_dissertation(tableau)
        
        return jsonify({
            'tableau': tableau,
            'dissertation': dissertation
        })
    except Exception as e:
        return jsonify({'error': str(e)}), 500
    finally:
        # Nettoyer le fichier temporaire
        os.unlink(temp_file.name)