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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}},
"résous cette exercice"
]
)
# 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) |