Update app.py

app.py

@@ -1,27 +1,31 @@
-#!/usr/bin/env python
-# coding: utf-8
-
-# In[1]:
-
-
-from flask import Flask, send_from_directory
+from flask import Flask, request, jsonify
+from sklearn.tree import DecisionTreeClassifier
+import numpy as np
 
 app = Flask(__name__)
 
-@app.route('/')
-def index():
-    return send_from_directory('.', 'index.html')
-
-@app.route('/<path:path>')
-def static_files(path):
-    return send_from_directory('.', path)
+# Basit örnek veriler (Bu veriler yerel olarak tutulabilir)
+# Örnek veri formatı: [phishing_response, ransomware_response, ddos_response, malware_response]
+example_data = [
+    [0, 0, 1, 1],
+    [1, 1, 0, 0],
+    [1, 0, 1, 0],
+    [0, 1, 0, 1]
+]
+
+# Örnek sonuçlar: 1 = güvenli, 0 = güvensiz
+example_labels = [1, 0, 1, 0]
+
+# Model eğitimi
+model = DecisionTreeClassifier()
+model.fit(example_data, example_labels)
+
+@app.route('/analyze', methods=['POST'])
+def analyze():
+    data = request.json
+    response = [data['phishing'], data['ransomware'], data['ddos'], data['malware']]
+    prediction = model.predict([response])
+    return jsonify({'prediction': int(prediction[0])})
 
 if __name__ == '__main__':
-    app.run(debug=True)
-
-
-# In[ ]:
-
-
-
-
+    app.run(debug=True)