Update app.py

app.py

@@ -1,6 +1,5 @@
 import numpy as np
 import matplotlib.pyplot as plt
-from matplotlib.animation import FuncAnimation
 import random
 from scipy.stats import entropy as scipy_entropy
 import streamlit as st
@@ -115,28 +114,17 @@ def draw_world(seq, axs, step, cnt_hist, ent_hist, ac_hist):
     axs[2].set_title("Автокорреляция углового профиля (структурность) и энтропия")
     axs[2].text(0.70,0.70, f"Энтропия: {ent_hist[-1]:.2f}", transform=axs[2].transAxes)
 
-def animate(i):
-    global seq, stat_bist_counts, stat_entropy, stat_autocorr
-    if i == 0:
-        stat_bist_counts.clear()
-        stat_entropy.clear()
-        stat_autocorr.clear()
-    else:
-        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)
-    stat_bist_counts.append(len(runs))
-    ent = compute_entropy(torsion_profile)
-    stat_entropy.append(ent)
-    acorr = compute_autocorr(torsion_profile)
-    stat_autocorr.append(acorr)
-    draw_world(seq, axs, i, stat_bist_counts, stat_entropy, stat_autocorr)
-    return axs
-
 # --- Запуск анимации в Streamlit ---
 if st.button("Начать анимацию"):
-    anim = FuncAnimation(
-        fig, animate, frames=steps, interval=600, repeat=False, blit=False
-    )
-    st.pyplot(fig)
-
+    for step in range(steps):
+        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)
+        stat_bist_counts.append(len(runs))
+        ent = compute_entropy(torsion_profile)
+        stat_entropy.append(ent)
+        acorr = compute_autocorr(torsion_profile)
+        stat_autocorr.append(acorr)
+        draw_world(seq, axs, step, stat_bist_counts, stat_entropy, stat_autocorr)
+        st.pyplot(fig)
+        st.experimental_rerun()  # Обновление страницы после каждого шага