Update app.py

app.py

@@ -121,5 +121,56 @@ for url, name, emoji in zip(urls, url_names, url_emojis):
     # Display the number of times the URL was opened below its corresponding button
     st.write(f"Clicked: {history[url]} times")
 
+import time
+from bokeh.plotting import figure
+from bokeh.models import ColumnDataSource
 
+# ... [rest of the initial code remains unchanged] ...
+
+# Streamlit app
+def main():
+
+    # Session state to hold the value of AutoRepeat button across reruns
+    if "auto_repeat" not in st.session_state:
+        st.session_state.auto_repeat = "On"
+    if "current_index" not in st.session_state:
+        st.session_state.current_index = 0  # Use 0 as a default index
+
+    # Load the history of clicks
+    history = load_history()
+
+    # Display the buttons for each URL
+    for url, name, emoji in zip(urls, url_names, url_emojis):
+        if st.button(f"{emoji} {name}"):
+            # Open the URL in a new browser tab using JavaScript
+            st.write('<script>window.open("'+url+'", "_blank");</script>', unsafe_allow_html=True)
+            # Update the history of clicks
+            history[url] += 1
+            save_history(history)
+        # Display the number of times the URL was opened below its corresponding button
+        st.write(f"Clicked: {history[url]} times")
+
+    # Timer logic
+    if st.session_state.auto_repeat == "On":
+        timer_placeholder = st.empty()
+        for i in range(10, 0, -1):
+            timer_placeholder.text(f"Reloading in {i} seconds...")
+            time.sleep(1)
+        history = load_history()  # Reload the history after the countdown
+
+        # Display the Bokeh graph showing the click counts
+        non_zero_urls = [name for url, name in zip(urls, url_names) if history[url] > 0]
+        non_zero_counts = [history[url] for url in urls if history[url] > 0]
+
+        source = ColumnDataSource(data=dict(urls=non_zero_urls, counts=non_zero_counts))
+
+        p = figure(x_range=non_zero_urls, plot_height=350, title="Click Counts per URL",
+                   toolbar_location=None, tools="")
+        p.vbar(x='urls', top='counts', width=0.9, source=source)
+        p.xaxis.major_label_orientation = 1.2
+
+        st.bokeh_chart(p)
+
+if __name__ == "__main__":
+    main()