Update app.py

app.py

@@ -28,7 +28,7 @@ def predict(file_obj):
       rows.append(col)
     cramers_results = np.array(rows)
     df_final= pd.DataFrame(cramers_results, columns = cat_df.columns, index =cat_df.columns)
-    plt.close()
+    #plt.close()
    # return df_final
     data = np.random.randint(low=1,
                          high=1000,