Update app.py

app.py

@@ -5,6 +5,8 @@ import matplotlib.pyplot as plt
 import random
 from scipy.stats import entropy as scipy_entropy
 import time
+import imageio
+from datetime import datetime
 
 st.set_page_config(layout="wide")
 
@@ -31,7 +33,6 @@ 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]
@@ -43,31 +44,26 @@ 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]
-            seq = seq[:start] + subseq[::-1] + seq[end:]
-            mutation_type = f"Inversion from {start} to {end}: {subseq} → {subseq[::-1]}"
+            subseq = seq[start:end][::-1]
+            seq = seq[:start] + subseq + seq[end:]
     while len(seq) < seqlen:
         seq += random.choice(bases)
-    return seq[:seqlen], mutation_type
+    return seq[:seqlen]
 
 def compute_autocorr(profile):
     profile = profile - np.mean(profile)
@@ -87,9 +83,6 @@ 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))
@@ -103,9 +96,7 @@ if start:
             break
 
         if step != 0:
-            seq, mut_type = bio_mutate(seq)
-        else:
-            mut_type = "Initial sequence"
+            seq = bio_mutate(seq)
 
         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)
@@ -135,9 +126,5 @@ 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)