Update app.py

app.py

@@ -217,6 +217,19 @@ description = """
 # 6. Use Gradio to pull it all together
 with gr.Blocks(css = """#col_container {width: 1400px; margin-left: auto; margin-right: auto;} #chatbot {height: 600px; overflow: auto;}""") as demo:
     gr.HTML(title)
+
+    # Wikipedia context preloader
+    with gr.Row(): # inputs and buttons
+        inp = gr.Textbox(lines=1, default="ChatGPT", label="Question")
+    with gr.Row(): # inputs and buttons
+        b4 = gr.Button("Search Web Live")
+    with gr.Row(): # output DF2
+        out_DF = gr.Dataframe(wrap=True, max_rows=1000, overflow_row_behaviour= "paginate", datatype = ["markdown", "markdown"], headers=['Entity', 'Value'])
+        inp.submit(fn=get_wiki_summary, inputs=inp, outputs=out_DF)
+    b4.click(fn=get_wiki_summary, inputs=inp, outputs=out_DF )
+
+
+    # Accordian chat bot
     with gr.Column(elem_id = "col_container"):
         inputs = gr.Textbox(placeholder= "Hi there!", label= "Type an input and press Enter")
         chatbot = gr.Chatbot(elem_id='chatbot')
@@ -227,8 +240,7 @@ with gr.Blocks(css = """#col_container {width: 1400px; margin-left: auto; margin
             temperature = gr.Slider( minimum=-0, maximum=5.0, value=1.0, step=0.1, interactive=True, label="Temperature",)
             chat_counter = gr.Number(value=0, visible=True, precision=0)
 
-            
-    # Episodic/Semantic IO
+    # Episodic/Semantic Memory IO
     fileName = gr.Textbox(label="Filename")
     fileContent = gr.TextArea(label="File Content")
     completedMessage = gr.Textbox(label="Completed")
@@ -245,11 +257,13 @@ with gr.Blocks(css = """#col_container {width: 1400px; margin-left: auto; margin
     deleteFile.click(delete_file, inputs=fileName, outputs=completedMessage)
     appendFile.click(append_file, inputs=[fileName, fileContent], outputs=completedMessage )
 
-    
+
+    # Chatbot
     inputs.submit(predict, [inputs, top_p, temperature,chat_counter, chatbot, state], [chatbot, state, chat_counter])
     b1.click(predict, [inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter])
     b1.click(reset_textbox, [], [inputs])
     inputs.submit(reset_textbox, [], [inputs])
     gr.Markdown(description)
-    
+
+    # Queue and go!
     demo.queue().launch(debug=True)