Update app.py

app.py

@@ -1,5 +1,5 @@
 import streamlit as st
-import matplotlib.pyplot as plt
+import plotly.graph_objects as go
 from transformers import pipeline
 from pydub import AudioSegment
 import os
@@ -143,17 +143,9 @@ if 'diarized_transcript' in locals() and 'final_output' in locals() and 'emotion
             st.write(f"{emo['label']}: {round(emo['score']*100, 2)}%")
 
     with tab4:
-        st.subheader("📈 Emotional Trends Over Time")
-
-        session_dates = ["2024-04-01", "2024-04-08", "2024-04-15", "2024-04-22"]
-        anxiety_scores = [70, 65, 55, 40]
-        sadness_scores = [30, 20, 25, 15]
-
-        fig, ax = plt.subplots()
-        ax.plot(session_dates, anxiety_scores, label='Anxiety', marker='o')
-        ax.plot(session_dates, sadness_scores, label='Sadness', marker='o')
-        ax.set_title("Emotional Trends Over Time")
-        ax.set_ylabel("Score (%)")
-        ax.set_xlabel("Session Date")
-        ax.legend()
-        st.pyplot(fig)
+    st.subheader("📈 Emotional Trends Over Time")
+    fig = go.Figure()
+    fig.add_trace(go.Scatter(x=session_dates, y=anxiety_scores, mode='lines+markers', name='Anxiety'))
+    fig.add_trace(go.Scatter(x=session_dates, y=sadness_scores, mode='lines+markers', name='Sadness'))
+    fig.update_layout(title='Emotional Trends', xaxis_title='Date', yaxis_title='Score (%)')
+    st.plotly_chart(fig)