Create app.py

app.py

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+# app.py
+
+import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+import datetime
+import time
+
+# App Title
+st.title("Time Management App")
+st.subheader("Developed by Mansoor Sarookh")
+
+# Sidebar for navigation
+st.sidebar.title("Navigation")
+selection = st.sidebar.radio("Go to", ["Today's Tasks", "Calendar", "Analytics", "Goals"])
+
+# Placeholder Data for Task List
+tasks_data = pd.DataFrame({
+    "Task": ["Meeting", "Coding Session", "Review Project"],
+    "Time": ["10:00 AM", "1:00 PM", "3:00 PM"]
+})
+
+# Today's Tasks Section
+if selection == "Today's Tasks":
+    st.header("Today's Tasks")
+    
+    # Input form for new tasks
+    with st.form("task_form"):
+        task_name = st.text_input("Task Name")
+        task_time = st.time_input("Time")
+        submit_task = st.form_submit_button("Add Task")
+        
+    # Append new tasks
+    if submit_task:
+        new_task = pd.DataFrame({"Task": [task_name], "Time": [task_time.strftime("%I:%M %p")]})
+        tasks_data = pd.concat([tasks_data, new_task], ignore_index=True)
+        st.success(f"Task '{task_name}' added for {task_time.strftime('%I:%M %p')}")
+        
+    st.table(tasks_data)
+
+    # Focus Timer Section
+    st.subheader("Focus Timer")
+    focus_duration = st.slider("Set Focus Duration (minutes)", min_value=5, max_value=60, step=5)
+    if st.button("Start Focus Session"):
+        st.write(f"Focus session started for {focus_duration} minutes...")
+        with st.spinner("Focusing..."):
+            time.sleep(focus_duration * 60)  # Replace with actual countdown timer functionality
+        st.success("Focus session completed!")
+
+# Analytics Section
+elif selection == "Analytics":
+    st.header("Productivity Insights")
+    
+    # Sample data for productivity breakdown
+    productivity_data = {"Category": ["Work", "Study", "Exercise", "Leisure"], "Hours": [20, 15, 5, 10]}
+    df_productivity = pd.DataFrame(productivity_data)
+    
+    # Bar chart for productivity
+    fig, ax = plt.subplots()
+    ax.bar(df_productivity["Category"], df_productivity["Hours"], color='skyblue')
+    ax.set_title("Weekly Productivity Breakdown")
+    st.pyplot(fig)
+    
+    # AI-Based Suggestions (Simplified Example)
+    def get_suggestions():
+        return "Try focusing on high-priority tasks in the morning when you're most productive."
+    
+    st.subheader("AI Suggestions")
+    st.write(get_suggestions())
+    
+    # Peak Productivity Hours
+    st.subheader("Peak Productivity Hours")
+    peak_hours = [9, 10, 11, 14, 15]
+    st.write(f"Your peak productivity hours: {', '.join([str(hour) + ':00' for hour in peak_hours])}")
+
+# Goals Section
+elif selection == "Goals":
+    st.header("Goals")
+    st.write("Set and track your productivity goals here!")
+
+# Calendar Section
+elif selection == "Calendar":
+    st.header("Calendar View")
+    st.write("Calendar integration coming soon!")