diff --git a/gfp2.py b/gfp2.py
index 845de8f..e945b41 100644
--- a/gfp2.py
+++ b/gfp2.py
@@ -330,3 +330,51 @@ diagram.draw(format="circular", circular=True, pagesize='A4', start=0, end=len(r
 diagram.write("pdf/plasmid_map.pdf", "PDF")
 
 print("Zapisano diagram plazmidu do pliku 'plasmid_map.pdf'")
+
+
+#%%
+class Model:
+    
+    complement = {'A': 'T', 'T': 'A', 'C': 'G', 'G': 'C'}
+
+    def __init__ (self, seq=None):
+        self.seq = seq
+
+    def complement_dna(self):
+        
+        complementary_sequence = ''.join(complement[base] for base in self.seq)
+        return complementary_sequence
+
+
+
+#%%
+promoter_models = []
+
+# Iterate through the features in the record
+for feature in record.features:
+    if feature.type == "promoter":
+        print(f"Type: {feature.type}")
+        print(f"Location: {feature.location}")
+        print(f"Strand: {'+' if feature.strand == 1 else '-'}")
+
+        # Extract the sequence from the feature
+        # Assuming the sequence is stored in feature.sequence (you might need to adjust this)
+        sequence = feature.extract(record.seq)  # This is a common way to extract sequences in Biopython
+
+        # Create a Model object with the sequence
+        model_object = Model(seq=str(sequence))
+
+        # Add the Model object to the list
+        promoter_models.append(model_object)
+
+
+#%%
+r = Model(a)
+
+#%%
+
+for feature in record.features:
+    if feature.type in ["promoter",]: 
+        print(f"Type: {feature.type}")
+        print(f"Location: {feature.location}")
+        print(f"Strand: {'+' if feature.strand == 1 else '-'}")