app.py

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

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()
        img = Image.open(io.BytesIO(image_data))

        buffered = io.BytesIO()
        img.save(buffered, format="PNG")
        img_str = base64.b64encode(buffered.getvalue()).decode()

        response_stream = client.models.generate_content_stream(
            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 ce problème?"
            ]
        )

        def generate():
            try:
                for chunk in response_stream:
                    for part in chunk.candidates[0].content.parts:
                        if part.thought:
                            yield f"data: {json.dumps({'thought': part.text})}\n\n"
                        else:
                            yield f"data: {json.dumps({'answer': part.text})}\n\n"
                        time.sleep(0.05)  # Contrôler la vitesse de streaming
            except Exception as e:
                print(f"Error during generation: {e}")
                yield f"data: {{ \"error\": \"{e}\" }}\n\n"

        return Response(generate(), mimetype='text/event-stream')

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

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