Update app.py

app.py

@@ -103,19 +103,18 @@ if st.button("Generate DataFrame"):
         plt.xlabel('Emotion Categories')
         plt.ylabel('Data Points')
         st.pyplot(plt)
-
+        
         # Normalize the data for better visualization
         df_normalized = (df_emotions.iloc[:, :7] - df_emotions.iloc[:, :7].min()) / (df_emotions.iloc[:, :7].max() - df_emotions.iloc[:, :7].min())
-
         
         # Plotting the parallel coordinates plot
         plt.figure(figsize=(12, 6))
-        parallel_coordinates(df_normalized, class_column=df_normalized.columns[-1], colormap=plt.get_cmap("Set2"))
+        parallel_coordinates(df_normalized, class_column=None, colormap=plt.get_cmap("Set2"))
         plt.title('Parallel Coordinates Plot for Emotions')
         plt.xlabel('Emotion Categories')
         plt.ylabel('Normalized Scores')
-        st.pyplot(plt) 
-
+        st.pyplot(plt)
+        
         # Optional: Save the DataFrame to a CSV file
         df_emotions.to_csv('emotion_scores.csv', index=False)
         st.success('DataFrame generated and saved as emotion_scores.csv')