Update app.py

app.py

@@ -280,8 +280,13 @@ with gr.Blocks(fill_width=True) as demo:
             
         QA_run_button = gr.Button("Start QA", interactive=False)
         hsummary = gr.Textbox(label="Summary")
-        
-        qa_df = gr.DataFrame()
+
+        with gr.Group():
+            with gr.Row():
+                with gr.Column(scale=7):
+                    qa_df = gr.DataFrame()
+                with gr.Column(scale=3):
+                    qa_tweet_embed = gr.HTML("""<div id="tweet-container2"></div>""")
  
         
     # with gr.Tab("Event Type Classification Eval"):
@@ -365,6 +370,16 @@ with gr.Blocks(fill_width=True) as demo:
             }
         
         """
+
+    m2_js = """ (x) =>
+            {
+                reloadTwitterWidgets();
+                const tweetContainer = document.getElementById("tweet-container2");
+                tweetContainer.innerHTML = "";
+                twttr.widgets.createTweet(x,tweetContainer,{theme: 'dark', dnt: true, align: 'center'});
+            }
+        
+        """
     
     # Test event listeners
     T_predict_button.click(
@@ -407,7 +422,7 @@ with gr.Blocks(fill_width=True) as demo:
                     outputs=[hsummary, qa_df])   
 
     qa_df.select(T_on_select, None, T_tweetID)
-    T_tweetID.change(fn=None, inputs=T_tweetID, outputs=None, js=m_js)
+    T_tweetID.change(fn=None, inputs=T_tweetID, outputs=None, js=m2_js)
     
     
     # Event listener for single text classification