Update app.py

app.py

@@ -104,19 +104,23 @@ if st.button("Generate DataFrame"):
         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=None, colormap=plt.get_cmap("Set2"))
-        plt.title('Parallel Coordinates Plot for Emotions')
-        plt.xlabel('Emotion Categories')
-        plt.ylabel('Normalized Scores')
-        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')
+        
+        with open('emotion_scores.csv', 'r') as f:
+            csv_file = f.read()
+        
+        st.download_button(
+            label='Download Emotion Scores as CSV',
+            data=csv_file,
+            file_name='emotion_scores.csv',
+            mime='text/csv',
+        )
+        
+        st.success('DataFrame generated and available for download.')
+        
     else:
         st.error("No results to generate DataFrame. Please predict emotions first.")