app.py

from flask import Flask, render_template, request, jsonify
from google import genai
from google.genai import types
import os
from PIL import Image
import io
import base64

app = Flask(__name__)

# Remplacez par votre clé API réelle
GOOGLE_API_KEY = "AIzaSyC_zxN9IHjEAxIoshWPzMfgb9qwMsu5t5Y"

client = genai.Client(
    api_key=GOOGLE_API_KEY,
    # Use `v1alpha` so you can see the `thought` flag.
    http_options={'api_version': 'v1alpha'},
)

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

@app.route('/solve', methods=['POST'])
def solve():
    try:
        image_data = request.files['image'].read()  # Lire les données binaires de l'image
        img = Image.open(io.BytesIO(image_data))

        # Convertir l'image en base64 pour l'envoyer à l'API Gemini
        buffered = io.BytesIO()
        img.save(buffered, format="PNG")
        img_str = base64.b64encode(buffered.getvalue()).decode()

        # Utiliser l'API Gemini pour générer la réponse
        response = client.models.generate_content(
            model="gemini-2.0-flash-thinking-exp-01-21",
            config={'thinking_config': {'include_thoughts': True}},
            contents=[
                {'inline_data': {'mime_type': 'image/png', 'data': img_str}},
                "What's the area of the overlapping region?"
            ]
        )

        # Extraire les pensées et la réponse
        thoughts = ""
        answer = ""
        for part in response.candidates[0].content.parts:
            if part.thought:
                thoughts += part.text + "\n"
            else:
                answer += part.text + "\n"

        return jsonify({'thoughts': thoughts, 'answer': answer})

    except Exception as e:
        return jsonify({'error': str(e)}), 500

if __name__ == '__main__':
    app.run(debug=True)