Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+import datetime
+import random
+
+# Application Title
+st.title("Mood Tracker App")
+
+# Sidebar for Navigation
+st.sidebar.title("Navigation")
+page = st.sidebar.radio("Go to", ["Home", "Track Mood", "Mood Trends"])
+
+# Session State Initialization
+if "mood_data" not in st.session_state:
+    st.session_state["mood_data"] = pd.DataFrame(columns=["Date", "Mood"])
+
+if page == "Home":
+    # Home Page
+    st.header("Welcome to the Mood Tracker App")
+    st.markdown(
+        """
+        This app helps you track your mood over time. Record how you feel daily, visualize trends, and get personalized motivational quotes.
+
+        **How to Use**:
+        - Go to **Track Mood** to log your daily mood.
+        - Check **Mood Trends** to see how your mood evolves over time.
+
+        Let's build a habit of emotional awareness!
+        """
+    )
+
+elif page == "Track Mood":
+    # Track Mood Page
+    st.header("Track Your Mood")
+
+    # Mood Input
+    mood = st.radio("How are you feeling today?", ["Happy", "Sad", "Anxious", "Neutral", "Excited", "Angry"])
+    submit = st.button("Submit")
+
+    # Save Mood
+    if submit:
+        today = datetime.date.today()
+        new_entry = {"Date": today, "Mood": mood}
+        if today not in st.session_state["mood_data"]["Date"].values:
+            st.session_state["mood_data"] = pd.concat(
+                [st.session_state["mood_data"], pd.DataFrame([new_entry])], ignore_index=True
+            )
+            st.success(f"Mood for {today} saved successfully!")
+        else:
+            st.warning(f"Mood for {today} is already recorded. Edit it in your data table.")
+
+elif page == "Mood Trends":
+    # Mood Trends Page
+    st.header("Mood Trends")
+
+    # Check if there's data
+    if st.session_state["mood_data"].empty:
+        st.warning("No mood data found. Please log your mood in the Track Mood section.")
+    else:
+        # Display Data
+        st.subheader("Your Mood Records")
+        st.write(st.session_state["mood_data"])
+
+        # Prepare Data for Plotting
+        mood_counts = st.session_state["mood_data"].groupby("Mood").size()
+
+        # Plot Mood Trends
+        fig, ax = plt.subplots()
+        st.session_state["mood_data"].sort_values("Date", inplace=True)
+        st.session_state["mood_data"].plot(
+            x="Date", y="Mood", kind="line", marker="o", ax=ax, legend=False
+        )
+        ax.set_ylabel("Mood")
+        ax.set_title("Mood Trends Over Time")
+        st.pyplot(fig)
+
+        # Motivational Quotes
+        st.subheader("Motivational Quote of the Day")
+        quotes = [
+            "Keep your face to the sunshine and you cannot see a shadow. - Helen Keller",
+            "The best way to predict the future is to create it. - Peter Drucker",
+            "Happiness is not something ready made. It comes from your own actions. - Dalai Lama",
+            "Every day may not be good, but there's something good in every day.",
+            "Believe you can and you're halfway there. - Theodore Roosevelt",
+        ]
+        st.write(random.choice(quotes))