diff --git a/app/package-lock.json b/app/package-lock.json
index 0c43740..572c494 100644
--- a/app/package-lock.json
+++ b/app/package-lock.json
@@ -33,7 +33,7 @@
         "post": "^0.0.1",
         "postcss": "^8.4.32",
         "tailwindcss": "^3.3.5",
-        "vite": "^5.0.0"
+        "vite": "^5.0.8"
       }
     },
     "node_modules/@aashutoshrathi/word-wrap": {
@@ -5290,9 +5290,9 @@
       }
     },
     "node_modules/vite": {
-      "version": "5.0.5",
-      "resolved": "https://registry.npmjs.org/vite/-/vite-5.0.5.tgz",
-      "integrity": "sha512-OekeWqR9Ls56f3zd4CaxzbbS11gqYkEiBtnWFFgYR2WV8oPJRRKq0mpskYy/XaoCL3L7VINDhqqOMNDiYdGvGg==",
+      "version": "5.0.8",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-5.0.8.tgz",
+      "integrity": "sha512-jYMALd8aeqR3yS9xlHd0OzQJndS9fH5ylVgWdB+pxTwxLKdO1pgC5Dlb398BUxpfaBxa4M9oT7j1g503Gaj5IQ==",
       "dev": true,
       "dependencies": {
         "esbuild": "^0.19.3",
diff --git a/app/package.json b/app/package.json
index e0db960..2c21eec 100644
--- a/app/package.json
+++ b/app/package.json
@@ -36,6 +36,6 @@
     "post": "^0.0.1",
     "postcss": "^8.4.32",
     "tailwindcss": "^3.3.5",
-    "vite": "^5.0.0"
+    "vite": "^5.0.8"
   }
 }
diff --git a/app/src/components/Hero.jsx b/app/src/components/Hero.jsx
index da25526..cf09adb 100644
--- a/app/src/components/Hero.jsx
+++ b/app/src/components/Hero.jsx
@@ -6,10 +6,8 @@ import { navLinks } from "../constants";
 import { logo, menu, close } from "../assets";
 
 
-const Hero = () => {
-  
+const Hero = () => {  
   const [data,setData] = useState([{}])
-
   // Reset Boiska
   function resetField() {
       var footballField = document.getElementById('footballField');
@@ -21,30 +19,25 @@ const Hero = () => {
   }
   // Wysłanie zapytania do serwera
   function sentQuestion() {
-    
     var ball = document.querySelector('.football');
       if (ball) {
           var x = ball.style.left;
           var y = ball.style.top;
-
-          var query = "/LRegresion" + x + "&" + y
-          alert(query)
-          fetch("/LRegresion").then(
+          var query = "http://localhost:5000/LRegresion" + x + "&" + y
+          fetch(query).then(
             res => res.json
             ).then(
             data => {
             setData(data)
-            console.log(data)``
+            console.log(data)
             }
             )
-
-
       } else {
           alert('Piłka nie jest obecnie na boisku.');
       }
   }
+
   /* Funkcja dodająca listener do boiska*/
-  
   function boiskoListener(){
     var x = event.clientX - footballField.getBoundingClientRect().left;
     var y = event.clientY - footballField.getBoundingClientRect().top;
@@ -63,7 +56,7 @@ const Hero = () => {
   useEffect(()=>{
       var footballField = document.getElementById('footballField');
       footballField.addEventListener('click', boiskoListener) 
-    },[]);
+    });
 
   /*zwracany komponent zawierajacy boisko*/
 
diff --git a/app/src/flask-server/modele/__pycache__/modele.cpython-310.pyc b/app/src/flask-server/modele/__pycache__/modele.cpython-310.pyc
new file mode 100644
index 0000000..4189fbf
Binary files /dev/null and b/app/src/flask-server/modele/__pycache__/modele.cpython-310.pyc differ
diff --git a/app/src/flask-server/modele/modele.py b/app/src/flask-server/modele/modele.py
new file mode 100644
index 0000000..df04525
--- /dev/null
+++ b/app/src/flask-server/modele/modele.py
@@ -0,0 +1,13 @@
+from joblib import load
+import pandas as pd
+
+# Funkcja zwraca prawdopodobieństwo zdobycia gola
+def LogisticRegression_predict_proba(position_x, position_y, distance_to_goalM, angle, match_minute, Number_Intervening_Opponents, Number_Intervening_Teammates, isFoot, isHead):
+    model = load('regresja_logistyczna.joblib')
+
+    X_new = pd.DataFrame(columns=['position_x', 'position_y', 'distance_to_goalM', 'angle','match_minute', 'Number_Intervening_Opponents','Number_Intervening_Teammates', 'isFoot', 'isHead'])
+    X_new.loc[len(X_new.index)] = [position_x, position_y, distance_to_goalM, angle, match_minute, Number_Intervening_Opponents, Number_Intervening_Teammates, isFoot, isHead]
+
+    return model.predict_proba(X_new)[0][1].round(2)
+
+#kolejne modele
diff --git a/app/src/flask-server/server.py b/app/src/flask-server/server.py
index 1c4ee4d..d4ee77f 100644
--- a/app/src/flask-server/server.py
+++ b/app/src/flask-server/server.py
@@ -1,5 +1,7 @@
 from flask import Flask
 from flask_cors import CORS
+from modele.modele import LogisticRegression_predict_proba
+
 app = Flask(__name__)
 
 CORS(app)
@@ -9,10 +11,18 @@ CORS(app)
 def members():
     return{"members":["Member1","Member2","Member3"]}
 
+
+# zapytanie o regresje logistyczną na podstawie pozycji piłki
+
 @app.route("/LRegresion<x>&<y>")
 def LRegresion(x,y):
-    num = x+y
-    return str(num)
+    
+    x = int(x[0:2])
+    y = int(y[0:2])
 
+    response = LogisticRegression_predict_proba(9.23, -2.24, 9.5, 13.67, 13, 3, 0, 1, 0)
+    return {"response":[str(response),"proces"]}
+
+# uruchomienie serwera
 if __name__ == "__main__":
     app.run(debug = True)
\ No newline at end of file