Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+import datetime as dt
+
+# Initialize session state for storing mood logs
+if "mood_data" not in st.session_state:
+    st.session_state.mood_data = pd.DataFrame(columns=["Date", "Mood", "Activity", "Notes"])
+
+# App title and description
+st.title("Mood Tracker")
+st.write("A simple app to log and track your mood over time.")
+
+# Sidebar for mood input
+st.sidebar.header("Log Your Mood")
+mood = st.sidebar.selectbox("How are you feeling today?", ["Happy", "Neutral", "Sad", "Anxious", "Excited", "Angry"])
+activity = st.sidebar.text_input("What activity were you doing?")
+notes = st.sidebar.text_area("Add any notes (optional):")
+log_button = st.sidebar.button("Log Mood")
+
+# Log the mood
+if log_button:
+    new_entry = pd.DataFrame({
+        "Date": [dt.datetime.now()],
+        "Mood": [mood],
+        "Activity": [activity],
+        "Notes": [notes]
+    })
+    st.session_state.mood_data = pd.concat([st.session_state.mood_data, new_entry], ignore_index=True)
+    st.success("Mood logged successfully!")
+
+# Display mood data
+st.header("Mood History")
+if not st.session_state.mood_data.empty:
+    st.dataframe(st.session_state.mood_data.sort_values(by="Date", ascending=False))
+else:
+    st.write("No mood data logged yet. Use the sidebar to add entries.")
+
+# Visualize mood trends
+st.header("Mood Trends")
+if not st.session_state.mood_data.empty:
+    # Convert date column to datetime for grouping
+    st.session_state.mood_data["Date"] = pd.to_datetime(st.session_state.mood_data["Date"])
+    mood_counts = st.session_state.mood_data.groupby(["Mood"]).size()
+
+    # Bar chart for mood distribution
+    fig, ax = plt.subplots()
+    mood_counts.plot(kind="bar", color="skyblue", ax=ax)
+    ax.set_title("Mood Distribution")
+    ax.set_ylabel("Count")
+    ax.set_xlabel("Mood")
+    st.pyplot(fig)
+
+    # Trend over time
+    mood_over_time = st.session_state.mood_data.groupby(st.session_state.mood_data["Date"].dt.date).size()
+    fig, ax = plt.subplots()
+    mood_over_time.plot(ax=ax, marker="o", color="orange")
+    ax.set_title("Mood Over Time")
+    ax.set_ylabel("Entries")
+    ax.set_xlabel("Date")
+    st.pyplot(fig)
+else:
+    st.write("No data available for visualizations.")
+
+# Resources for mental health
+st.header("Mental Health Resources")
+st.write("Here are some tips and resources to help improve your mental health:")
+st.markdown("- Practice mindfulness and deep breathing.")
+st.markdown("- Stay physically active.")
+st.markdown("- Talk to a trusted friend or counselor.")
+st.markdown("- [Find a therapist](https://www.psychologytoday.com)")