Create app.py

app.py

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+import streamlit as st
+from dynamical_system import invasion_fitness, invasion_fitness2
+import numpy as np
+from tools import plot_3D_invfitness, plot_invasionfitness, make_interactive_video, plot_PIP
+
+st.set_page_config(layout="wide")
+st.title("Adaptive dynamics")
+
+st.subheader("When there is no cost on reproduction")
+
+
+zlist = np.linspace(0, 2, 100)
+alpha = 0.4
+
+X, Y = np.meshgrid(zlist, zlist)
+inv_fitness3D = invasion_fitness(X, Y, pars=alpha)
+
+
+col1, col2 = st.columns(2, gap="large")
+with col1:
+    st.plotly_chart(make_interactive_video(
+        0.01, zlist[-1], 0.03, zlist, invasion_fitness, alpha, [-2, 2]))
+
+
+with col2:
+    zm = st.slider("Mutant trait value", 0.0, 2.0, value=0.2, step=0.01)
+    st.plotly_chart(plot_invasionfitness(
+        zm, zlist, invasion_fitness, alpha, [-2, 2]))
+
+col3, col4 = st.columns(2, gap="large")
+with col3:
+    st.plotly_chart(plot_3D_invfitness(zlist, inv_fitness3D, zm, (-2.9, 2.9)))
+with col4:
+    st.plotly_chart(plot_PIP(zlist, invasion_fitness, alpha))
+
+st.header("When there is cost in reproduction")
+
+zlist = np.linspace(0, 1, 100)
+
+beta = st.slider(r"Value of $\beta$", 0.1, 2.0, value=1.2, step=0.2)
+col5, col6 = st.columns(2, gap="large")
+with col5:
+    st.plotly_chart(
+        make_interactive_video(
+            0.1, zlist[-1], 0.01, zlist, invasion_fitness2, (alpha, beta), [-0.2, 0.2])
+    )
+with col6:
+    zm2 = st.slider("Mutant trait value  ", 0.0, 1.0, value=0.1, step=0.01)
+    st.plotly_chart(plot_invasionfitness(
+        zm2, zlist, invasion_fitness2, (alpha, beta), [-0.2, 0.2]))
+
+X, Y = np.meshgrid(zlist, zlist)
+inv_fitness3D2 = invasion_fitness2(X, Y, pars=(alpha, beta))
+
+col7, col8 = st.columns(2, gap="large")
+with col7:
+    st.plotly_chart(plot_3D_invfitness(zlist, inv_fitness3D2, zm, (-0.2, 0.2)))
+with col8:
+    st.plotly_chart(plot_PIP(zlist, invasion_fitness2, (alpha, beta)))