diff --git a/Main.py b/Main.py
index 7bcc4db..5ce31e3 100644
--- a/Main.py
+++ b/Main.py
@@ -4,13 +4,26 @@ from Dataset import Dataset
 
 rand = Random()
 data = Dataset(open("input.txt").read().split('\n'), open("target.txt").read().split('\n'))
+learn_rate = 0.01
 
+p = Perceptron()
+i = data.inputs
+p.add_input("1", 1, rand.uniform(-1, 1))
+p.add_input("2", 1, rand.uniform(-1, 1))
+p.add_input("bias", 1, rand.uniform(-1, 1))
 
-for key in data.inputs:
+# train
+for ind in range(0, 500):
     i = data.inputs
-    print("v1: ", i[key].value1, "v2: ", i[key].value2, "target: ", i[key].target)
-    p = Perceptron()
-    p.add_input("1", i[key].value1, rand.uniform(-1, 1))
-    p.add_input("2", i[key].value2, rand.uniform(-1, 1))
-    p.add_input("bias", 1, rand.uniform(-1, 1))
-    print("%f" % p.guess(i[key].target))
+    for key in data.inputs:
+        p.input(i[key].value1, i[key].value2)
+        print("error: %f" % p.guess(i[key].target, learn_rate))
+
+for i in range(0, 1000):
+    x = input("Arg1")
+    y = input("Arg2")
+    p.input(x, y)
+    if p.activation() == 1:
+        print("TRUE")
+    else:
+        print("FALSE")
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