Update app.py

app.py

@@ -201,7 +201,7 @@ def main():
                                    csv,
                                    "random_forest.csv",
                                    "text/csv",
-                                   key='download_csv')
+                                   key='rf_download_csv')
 
                 # Accuracy score
                 if data_encoded.shape[1] == 15:
@@ -229,7 +229,7 @@ def main():
                                    csv,
                                    "discriminant.csv",
                                    "text/csv",
-                                   key='download_csv')
+                                   key='lda_download_csv')
                 #st.text("Model report : \n " + classification_report(y, pred))
 
                 if data_encoded.shape[1] == 15:
@@ -268,7 +268,7 @@ def main():
                                    csv,
                                    "xgboost.csv",
                                    "text/csv",
-                                   key='download_csv')
+                                   key='xg_download_csv')
                 #st.text("Model report : \n " + classification_report(y, pred))
                 if data_encoded.shape[1] == 15:
                     st.text("Model report : \n " + classification_report(y, pred))
@@ -296,7 +296,7 @@ def main():
                                    csv,
                                    "neural_network.csv",
                                    "text/csv",
-                                   key='download_csv')
+                                   key='ann_download_csv')
                 #st.text("Model report : \n " + classification_report(y, pred))
                 if data_encoded.shape[1] == 15:
                     st.text("Model report : \n " + classification_report(y, pred))