diff --git a/Modules.py b/Modules.py
new file mode 100644
index 0000000..e8486fc
--- /dev/null
+++ b/Modules.py
@@ -0,0 +1,75 @@
+#Natural Language Understanding
+class NLU:
+    #Text analysys
+    def __init__(self, acts, arguments):
+        self.acts = acts
+        self.arguments = arguments
+
+    def analyze(self, text):
+        #Turn text into frame
+        #return vector for further use
+
+        act = "(greetings()&request(name))"
+        vector = [[0],[1,0]]
+        return vector
+
+#Dialogue policy
+class DP:
+    #Module decide what act takes next
+    def __init__(self, acts, arguments):
+        self.acts = acts
+        self.arguments = arguments
+
+    def tacticChoice(self, frame_list):
+        act_vector = [0, 0]
+        return act_vector
+
+#Dialogue State Tracker
+class DST:
+    #Contain informations about state of the dialogue and data taken from user
+    def __init__(self, acts, arguments):
+        self.acts = acts
+        self.arguments = arguments
+        self.frame_list= []
+
+    #store new act into frame
+    def store(self, frame):
+        self.frame_list.append(frame)
+
+    def transfer(self):
+        return self.frame_list
+#Natural Language Generator
+class NLG:
+    def __init__(self, acts, arguments):
+        self.acts = acts
+        self.arguments = arguments
+
+    def vectorToText(self, act_vector):
+        if(act_vector == [0, 0]):
+            return "Cześć, mam na imię Mateusz"
+        return "Nie rozumiem Cię"
+
+class Run:
+    def __init__(self):
+        self.acts={
+            0: "greetings",
+            1: "request",
+        }
+        self.arguments={
+            0: "name"
+        }
+        self.nlu = NLU(self.acts, self.arguments)
+        self.dp = DP(self.acts, self.arguments)
+        self.nlg = NLG(self.acts, self.arguments)
+        self.dst = DST(self.acts, self.arguments)
+
+    def process(self, command):
+        act = self.nlu.analyze(command)
+        self.dst.store(act)
+        dest_act = self.dp.tacticChoice(self.dst.transfer())
+        return self.nlg.vectorToText(dest_act)
+
+run = Run()
+while(1):
+    message = input("Napisz coś: ")
+    print(run.process(message))
\ No newline at end of file