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 import json app = Flask(__name__) GOOGLE_API_KEY = "AIzaSyC_zxN9IHjEAxIoshWPzMfgb9qwMsu5t5Y" client = genai.Client( api_key=GOOGLE_API_KEY, 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() def generate(): try: 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?" ] ) for chunk in response_stream: for part in chunk.candidates[0].content.parts: if hasattr(part, 'thought') and 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(0.1) # Légère pause pour contrôler le flux except Exception as e: print(f"Error during generation: {e}") yield f'data: {json.dumps({"error": str(e)})}\n\n' return Response( stream_with_context(generate()), mimetype='text/event-stream', headers={ 'Cache-Control': 'no-cache', 'X-Accel-Buffering': 'no' } ) except Exception as e: return jsonify({'error': str(e)}), 500 if __name__ == '__main__': app.run(debug=True)