Create app.py

app.py

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+import streamlit as st
+import numpy as np
+from bokeh.plotting import figure
+from bokeh.models import ColumnDataSource
+from bokeh.events import Tap
+
+Constants
+WIDTH, HEIGHT = 600, 600
+ELASTICITY = 0.3
+DAMPING = 0.7
+
+Create touch points
+num_points = 20
+x = np.linspace(50, WIDTH-50, num_points)
+y = np.linspace(50, HEIGHT-50, num_points)
+xx, yy = np.meshgrid(x, y)
+touch_points = np.column_stack((xx.ravel(), yy.ravel()))
+
+original_points = touch_points.copy()
+velocities = np.zeros_like(touch_points)
+
+source = ColumnDataSource(data=dict(x=touch_points[:, 0], y=touch_points[:, 1]))
+
+Set up the Bokeh plot
+p = figure(width=WIDTH, height=HEIGHT, tools="", toolbar_location=None)
+p.circle('x', 'y', size=5, color="navy", alpha=0.5, source=source)
+
+Streamlit app
+st.title("Artificial Touch Simulation")
+
+Create a Streamlit container for the Bokeh plot
+chart = st.bokeh_chart(p)
+
+def update_points():
+global touch_points, velocities
+
+
+# Apply spring force
+force = (original_points - touch_points) * ELASTICITY
+
+# Update velocity
+velocities += force
+
+# Apply damping
+velocities *= DAMPING
+
+# Update position
+touch_points += velocities
+
+# Update Bokeh data source
+source.data = dict(x=touch_points[:, 0], y=touch_points[:, 1])
+def on_tap(event):
+global touch_points, velocities
+
+
+x, y = event.x, event.y
+distances = np.sqrt(np.sum((touch_points - [x, y])**2, axis=1))
+affected = distances < 30
+
+force = (touch_points[affected] - [x, y]) / distances[affected, np.newaxis]
+velocities[affected] -= force * 10
+
+st.write(f"Touch at ({x:.2f}, {y:.2f})")
+update_points()
+p.on_event(Tap, on_tap)
+
+Main loop
+while True:
+update_points()
+chart.bokeh_chart(p)
+st.experimental_rerun()