sync

monitor.py

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+import streamlit as st
+import sqlite3
+import pandas as pd
+
+# Connect to the database
+conn = sqlite3.connect('users.db')
+c = conn.cursor()
+
+# Create a function to retrieve user prompts from the database
+def get_user_prompts(username=None):
+    if username:
+        c.execute('SELECT * FROM user_prompts WHERE username=?', (username,))
+    else:
+        c.execute('SELECT * FROM user_prompts')
+    user_prompts = c.fetchall()
+    return user_prompts
+
+# Create a function to convert user prompts to a Pandas DataFrame
+def user_prompts_to_df(user_prompts):
+    df = pd.DataFrame(user_prompts, columns=['id', 'username', 'prompt_time', 'prompt_type'])
+    return df
+
+# Create a Streamlit page
+st.title("User Prompts Summary")
+
+# Retrieve all usernames from the database
+c.execute('SELECT username FROM userstable')
+usernames = [row[0] for row in c.fetchall()]
+
+# Add a selectbox to filter user prompts by username
+username_filter = st.selectbox("Filter by username", ["All"] + usernames)
+
+# Retrieve user prompts based on the selected username
+if username_filter == "All":
+    user_prompts = get_user_prompts()
+else:
+    user_prompts = get_user_prompts(username_filter)
+
+# Convert user prompts to a Pandas DataFrame
+df = user_prompts_to_df(user_prompts)
+
+# Display the DataFrame
+st.write(df)