Create app.py

app.py

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+write a streamlit program that generates a graphical emotion wheel that can animate a spin.  With the animated emotion wheel, display it as a pie graph sunburst plot with an emoji for each of the emotions including: love, fear, anger, sadness, happiness, surprise, disgust, and love.
+
+import streamlit as st
+import pandas as pd
+import numpy as np
+import plotly.express as px
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+# Create an emotion wheel
+emotions = ["Love", "Fear", "Anger", "Sadness", "Happiness", "Surprise", "Disgust", "Love"]
+emoji = ["❤️", "😱", "😠", "😢", "🤩", "😮", "🤢", "❤️"]
+
+# Add the wheel to the sidebar
+st.sidebar.title("Emotion Wheel")
+st.sidebar.radio("Choose an emotion", emotions)
+
+# Create a sunburst chart
+df = pd.DataFrame({"emotion": emotions, "emoji": emoji})
+fig = px.sunburst(df, values="emoji", path=["emotion"], color="emoji")
+
+# Plot the chart
+st.plotly_chart(fig, use_container_width=True)
+
+# Add an animation button
+animation_button = st.button("Animate")
+
+# Animate the chart
+if animation_button:
+    for i in range(10):
+        random_emotion = np.random.choice(emotions)
+        st.sidebar.radio("Choose an emotion", [random_emotion])
+        fig = px.sunburst(df, values="emoji", path=["emotion"], color="emoji")
+        st.plotly_chart(fig, use_container_width=True)