Update app.py

app.py

@@ -1,8 +1,6 @@
 import streamlit as st
 from typing import List, Tuple
-from bokeh.plotting import figure
-from bokeh.models import ColumnDataSource
-from bokeh.events import Tap
+from transformers import pipeline
 
 # Constants
 WIDTH, HEIGHT = 600, 600
@@ -16,17 +14,14 @@ original_points = touch_points.copy()
 velocities: List[Tuple[float, float]] = [(0.0, 0.0)] * len(touch_points)
 is_affected: List[bool] = [False] * len(touch_points)
 
-source = ColumnDataSource(data=dict(x=[x for x, y in touch_points], y=[y for x, y in touch_points]))
-
-# 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)
+# Set up the Hugging Face pipeline
+text_generator = pipeline('text-generation', model='gpt2')
 
 # Streamlit app
 st.title("Artificial Touch Simulation")
 
-# Create a Streamlit container for the Bokeh plot
-chart = st.bokeh_chart(p)
+# Create a Streamlit container for the touch simulation
+touch_container = st.container()
 
 def update_points():
     global touch_points, velocities, is_affected
@@ -48,14 +43,10 @@ def update_points():
     
     # Reset affected flags
     is_affected = [False] * len(touch_points)
-    
-    # Update Bokeh data source
-    source.data = dict(x=[x for x, y in touch_points], y=[y for x, y in touch_points])
 
-def on_tap(event):
+def on_tap(x, y):
     global touch_points, velocities, is_affected
     
-    x, y = event.x, event.y
     for i, (tx, ty) in enumerate(touch_points):
         distance = ((tx - x)**2 + (ty - y)**2)**0.5
         if distance < 30:
@@ -64,12 +55,28 @@ def on_tap(event):
             velocities[i] = (velocities[i][0] - force_x * 10, velocities[i][1] - force_y * 10)
             is_affected[i] = True
     
-    st.write(f"Touch at ({x:.2f}, {y:.2f})")
+    # Generate a description of the touch
+    with touch_container:
+        st.write(f"Touch at ({x:.2f}, {y:.2f})")
+        text = text_generator(f"The user touched the screen at ({x:.2f}, {y:.2f}).", max_length=100, num_return_sequences=1, do_sample=True, top_k=50, top_p=0.95, num_beams=1)[0]['generated_text']
+        st.write(text)
+    
     update_points()
 
-p.on_event(Tap, on_tap)
-
 while True:
+    with touch_container:
+        for i, (x, y) in enumerate(touch_points):
+            if is_affected[i]:
+                st.circle((x, y), 5, color="red", fill_opacity=0.5)
+            else:
+                st.circle((x, y), 5, color="navy", fill_opacity=0.5)
+        
+        if st.button("Tap the screen"):
+            on_tap(st.session_state.get('x', 0), st.session_state.get('y', 0))
+        
+        st.experimental_set_query_params(x=touch_points[0][0], y=touch_points[0][1])
+        st.session_state['x'] = st.experimental_get_query_params().get('x', [0])[0]
+        st.session_state['y'] = st.experimental_get_query_params().get('y', [0])[0]
+        
     update_points()
-    chart.bokeh_chart(p)
     st.experimental_rerun()