Update app.py

app.py

@@ -1,3 +1,4 @@
+
 import streamlit as st
 import numpy as np
 import matplotlib.pyplot as plt
@@ -30,6 +31,7 @@ def find_local_min_runs(profile, min_run=1, max_run=2):
 
 def bio_mutate(seq):
     r = random.random()
+    mutation_type = "None"
     if r < 0.70:
         idx = random.randint(0, len(seq)-1)
         orig = seq[idx]
@@ -41,26 +43,31 @@ def bio_mutate(seq):
         else:
             newbase = random.choice([b for b in bases if b != orig])
         seq = seq[:idx] + newbase + seq[idx+1:]
+        mutation_type = f"Substitution at {idx}: {orig} → {newbase}"
     elif r < 0.80:
         idx = random.randint(0, len(seq)-1)
         ins = ''.join(random.choices(bases, k=random.randint(1, 3)))
         seq = seq[:idx] + ins + seq[idx:]
         if len(seq) > seqlen:
             seq = seq[:seqlen]
+        mutation_type = f"Insertion at {idx}: {ins}"
     elif r < 0.90:
         if len(seq) > 4:
             idx = random.randint(0, len(seq)-2)
             dell = random.randint(1, min(3, len(seq)-idx))
+            deleted = seq[idx:idx+dell]
             seq = seq[:idx] + seq[idx+dell:]
+            mutation_type = f"Deletion at {idx}: {deleted}"
     else:
         if len(seq) > 10:
             start = random.randint(0, len(seq)-6)
             end = start + random.randint(3,6)
-            subseq = seq[start:end][::-1]
-            seq = seq[:start] + subseq + seq[end:]
+            subseq = seq[start:end]
+            seq = seq[:start] + subseq[::-1] + seq[end:]
+            mutation_type = f"Inversion from {start} to {end}: {subseq} → {subseq[::-1]}"
     while len(seq) < seqlen:
         seq += random.choice(bases)
-    return seq[:seqlen]
+    return seq[:seqlen], mutation_type
 
 def compute_autocorr(profile):
     profile = profile - np.mean(profile)
@@ -80,6 +87,9 @@ start = st.button("▶️ Старт эфира")
 stop = st.checkbox("⏹️ Остановить")
 
 plot_placeholder = st.empty()
+status_placeholder = st.sidebar.empty()
+entropy_placeholder = st.sidebar.empty()
+mutation_type_placeholder = st.sidebar.empty()
 
 if start:
     seq = ''.join(random.choices(bases, k=seqlen))
@@ -93,7 +103,9 @@ if start:
             break
 
         if step != 0:
-            seq = bio_mutate(seq)
+            seq, mut_type = bio_mutate(seq)
+        else:
+            mut_type = "Initial sequence"
 
         torsion_profile = np.array([ANGLE_MAP.get(nt, 0.0) for nt in seq])
         runs = find_local_min_runs(torsion_profile, min_run, max_run)
@@ -123,5 +135,9 @@ if start:
         plot_placeholder.pyplot(fig)
         plt.close(fig)
 
+        status_placeholder.markdown(f"### ℹ️ Шаг: {step}")
+        entropy_placeholder.metric("Энтропия", f"{ent:.2f}")
+        mutation_type_placeholder.markdown(f"**Мутация:** {mut_type}")
+
         step += 1
         time.sleep(0.3)