Update app.py

app.py

@@ -29,6 +29,59 @@ from langchain.memory import ConversationBufferMemory
 from langchain.chains import ConversationalRetrievalChain
 from templates import css, bot_template, user_template
 
+#bokeh intro
+import streamlit-bokeh-events as sbe
+
+
+
+import streamlit as st
+from bokeh.plotting import figure
+from bokeh.models import ColumnDataSource, CustomJS
+
+# import function
+from streamlit_bokeh_events import streamlit_bokeh_events
+
+# create plot
+p = figure(tools="lasso_select")
+cds = ColumnDataSource(
+    data={
+        "x": [1, 2, 3, 4],
+        "y": [4, 5, 6, 7],
+    }
+)
+p.circle("x", "y", source=cds)
+
+# define events
+cds.selected.js_on_change(
+    "indices",
+    CustomJS(
+        args=dict(source=cds),
+        code="""
+        document.dispatchEvent(
+            new CustomEvent("YOUR_EVENT_NAME", {detail: {your_data: "goes-here"}})
+        )
+        """
+    )
+)
+
+# result will be a dict of {event_name: event.detail}
+# events by default is "", in case of more than one events pass it as a comma separated values
+# event1,event2 
+# debounce is in ms
+# refresh_on_update should be set to False only if we dont want to update datasource at runtime
+# override_height overrides the viewport height
+result = streamlit_bokeh_events(
+        bokeh_plot=p,
+        events="YOUR_EVENT_NAME",
+        key="foo",
+        refresh_on_update=False,
+        override_height=600,
+        debounce_time=500)
+
+# use the result
+st.write(result)
+
+
 
 
 def generate_filename(prompt, file_type):