Create pages/1_📈_Sentiment_Plot.py

pages/1_📈_Sentiment_Plot.py

@@ -0,0 +1,39 @@
+import streamlit as st
+import time
+import numpy as np
+import plotly.graph_objects as go
+
+
+st.set_page_config(page_title="Plotting Demo", page_icon="📈")
+
+
+st.markdown("<h1><center>Plotting Emotion Sentiments</center></h1>",
+            unsafe_allow_html=True)
+# st.sidebar.header("---")
+
+
+if 'color' not in st.session_state:
+    st.session_state.colors = [
+        '#FF595E', '#323e5d', '#8AC926', '#ff9494', '#6A4C93', '#2A2B2D', '#F6AE2D']
+
+
+# Create a bar chart
+fig = go.Figure(data=[go.Bar(
+    x=list(st.session_state.emotion_counts.keys()),
+    y=list(st.session_state.emotion_counts.values()),
+    marker=dict(
+        color=st.session_state.colors
+    )
+)])
+
+# Update layout for better visualization and set figure size
+fig.update_layout(
+    title='Emotion Counts',
+    xaxis=dict(title='Emotion Categories'),
+    yaxis=dict(title='Count'),
+    width=800,  # Set the width of the figure
+    height=500  # Set the height of the figure
+
+)
+
+st.plotly_chart(fig, use_container_width=True)