Create app.py

app.py

@@ -0,0 +1,60 @@
+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 = "YOUR_API_KEY"
+
+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)