Create app.py

app.py

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+import streamlit as st
+from bokeh.plotting import figure
+from bokeh.models import ColumnDataSource, HoverTool
+
+# Example data
+data = {
+    'x': [1, 2, 3, 4, 5],
+    'y': [10, 14, 20, 25, 30],
+    'label': ['Point 1', 'Point 2', 'Point 3', 'Point 4', 'Point 5'],
+    'image': [
+        'https://media-img.lucyinthesky.com/data/Nov24/560xAUTO/17157eb1-aba8-4161-8a44-2dd3bd73a5ff.jpg',
+        'https://media-img.lucyinthesky.com/data/Nov24/560xAUTO/dfd0c2d3-af96-4700-8fb2-cccc585c0e8b.jpg',
+        'https://media-img.lucyinthesky.com/data/Nov24/560xAUTO/ef942b7d-52ad-415b-ae88-c7c29a2491b4.jpg',
+        'https://media-img.lucyinthesky.com/data/Nov24/560xAUTO/047928d0-9168-4d29-84a5-785aec57dd6b.jpg',
+        'https://media-img.lucyinthesky.com/data/Nov24/560xAUTO/03054e31-3812-454a-bc3a-0ff207798927.jpg'
+    ]
+}
+
+source = ColumnDataSource(data=data)
+
+# Create figure
+p = figure(title="Scatter Plot with Image Hover", tools="hover", tooltips="""
+    <div>
+        <div><strong>@label</strong></div>
+        <div><img src="@image" style="width:200px;height:200px;"></div>
+    </div>
+""")
+p.circle('x', 'y', size=10, source=source)
+
+# Display the Bokeh figure in Streamlit
+st.bokeh_chart(p)