diff --git a/engine.py b/engine.py
index 3e7588b..f2bd1e8 100644
--- a/engine.py
+++ b/engine.py
@@ -68,6 +68,7 @@ emotions_same = TriangleFuzzySet(0, 4, 4, term="same")
 
 FS.add_linguistic_variable("EMOTIONS", LinguisticVariable( [emotions_different, emotions_similar, emotions_same], universe_of_discourse=[-8, 8] ))
 
+# Nie crisp tylko tak jak te powyżej zdefiniować
 FS.set_crisp_output_value("low_recomendation", 0)
 FS.set_crisp_output_value("medium_recomendation", 50)
 FS.set_crisp_output_value("high_recomendation", 100)
@@ -77,6 +78,7 @@ RULE2 = "IF (EMOTIONS IS different) AND (GENRES IS different) THEN (RECOMENDATIO
 RULE3 = "IF (RELEASE_YEAR IS newer) AND (RUNTIME IS similar) AND (SEASONS IS less) THEN (RECOMENDATION IS medium_recomendation)"
 RULE4 = "IF (EMOTIONS IS similar) AND (GENRES IS similar) THEN (RECOMENDATION IS medium_recomendation)"
 RULE5 = "IF (RELEASE_YEAR IS similar) AND (RUNTIME IS similar) AND (SEASONS IS similar) AND (EMOTIONS IS same) AND (GENRES IS same) THEN (RECOMENDATION IS high_recomendation)"
+# Z regułami trzeba eksperymentować, można porównywać ze scorem dla sprawdzania skuteczności
 
 FS.add_rules([RULE1, RULE2, RULE3, RULE4, RULE5])
 
@@ -86,4 +88,6 @@ FS.set_variable("SEASONS", -2.0)
 FS.set_variable("GENRES", 50.0)
 FS.set_variable("EMOTIONS", 1.0)
 
-print(FS.inference(["RECOMENDATION"]))
\ No newline at end of file
+print(FS.inference(["RECOMENDATION"]))
+
+FS.produce_figure(outputfile='file.pdf')
\ No newline at end of file
diff --git a/file.pdf b/file.pdf
new file mode 100644
index 0000000..d631dfd
Binary files /dev/null and b/file.pdf differ