Update app.py

app.py

@@ -68,7 +68,7 @@ def load_and_classify_csv(file, text_field, event_model, threshold):
     
     return flood_related, fire_related, not_related, model_confidence, len(df[text_field].to_list()), df, gr.update(interactive=True), gr.update(interactive=True)
 
-def load_and_classify_csv_dataframe(file, text_field, event_model, threshold): #, filter
+def load_and_classify_csv_dataframe(file, text_field, event_model, threshold): 
     
     filepath = file.name
     if ".csv" in filepath:
@@ -378,7 +378,10 @@ with gr.Blocks(fill_width=True) as demo:
         outputs=[T_data, T_data_ss_state, T_data_filter]
         )
     
-    T_data.select(T_on_select, None, T_tweet_embed).then(fn=None, js="reloadTwitterWidgets()")
+    # T_data.select(T_on_select, None, T_tweet_embed).then(fn=None, js="reloadTwitterWidgets()")
+    T_data.select(
+        fn=lambda: gr.update(value=""),
+        outputs=T_tweet_embed).then(T_on_select, None, T_tweet_embed).then(fn=None, js="reloadTwitterWidgets()")
     
     @T_data_filter.input(inputs=[T_data_ss_state, T_data_filter], outputs=T_data)
     def filter_df(df, filter):