diff --git a/src/__pycache__/api.cpython-310.pyc b/src/__pycache__/api.cpython-310.pyc
deleted file mode 100644
index afcbcfb..0000000
Binary files a/src/__pycache__/api.cpython-310.pyc and /dev/null differ
diff --git a/src/api.py b/src/api.py
index a600480..8bc31db 100644
--- a/src/api.py
+++ b/src/api.py
@@ -1,8 +1,9 @@
 import os
 
-from flask import Flask, Response
+from flask import Flask, Response, request
 from flask_cors import CORS
 import pandas as pd
+import pickle
 
 app = Flask(__name__)
 
@@ -11,6 +12,11 @@
 
 training_data = pd.read_csv(os.path.join("data", "auto-mpg.csv"))
 
+# laden des Models
+file_to_open = open(os.path.join("data", "models", "regressor_mpg.pickle"), "rb")
+trained_model = pickle.load(file_to_open)
+file_to_open.close()
+
 
 @app.route("/", methods=["GET"])
 def index():
@@ -25,3 +31,20 @@ def hello_world():
 @app.route("/training_data", methods=["GET"])
 def get_training_data():
     return Response(training_data.to_json(), mimetype="application/json")
+
+
+@app.route("/predict", methods=["GET"])
+def predict():
+    # Lese die Variablen aus
+    zylinder = request.args.get("zylinder")
+    ps = request.args.get("ps")
+    gewicht = request.args.get("gewicht")
+    beschleunigung = request.args.get("beschleunigung")
+    baujahr = request.args.get("baujahr")
+
+    # Erstellen der Vorhersage
+    prediction = trained_model.predict(
+        [[int(zylinder), int(ps), int(gewicht), int(beschleunigung), int(baujahr)]]
+    )
+
+    return {"result": prediction[0]}