Update app.py

app.py

@@ -240,7 +240,19 @@ with gr.Blocks(css=css) as demo:
             with gr.Column():
                 # output_text = gr.Textbox(label="Output Text")
                 with gr.Accordion('Prediction:', open=True):
-                    output_markdown = gr.Markdown(label="Output")
+                    # output_markdown = gr.Markdown(label="Output")
+                    output_markdown = gr.Chatbot()
+                    output_markdown.like(vote, None, None)
+                    gr.ChatInterface(fn=yes, type="messages", chatbot=output_markdown)
+        # with gr.Row(label="Your feedback"):
+        #     chatbot = gr.Chatbot(placeholder="<strong>Is this prediction helpful?</strong><br>")
+        #     chatbot.like(vote, None, None)
+        #     gr.ChatInterface(fn=yes, type="messages", chatbot=chatbot)
+        # with gr.Row(label="Your feedback"):
+        #     with gr.Column():
+        #         inputs = gr.Textbox(type="text")
+        #         output_markdown = gr.Markdown(label="Output")
+        #         feedback_btn = gr.Button(value="Submit")
         # O14813 train index 127, 266, 738, 1060 test index 4
         gr.Examples(
             examples=[
@@ -258,12 +270,8 @@ with gr.Blocks(css=css) as demo:
             label='Try examples'
         )
         submit_btn.click(generate_caption, [input_protein, prompt], [output_markdown])
-    with gr.Tab(label="Your feedback"):
-        with gr.Row():
-            with gr.Column():
-                inputs = gr.Textbox(type="text")
-                output_markdown = gr.Markdown(label="Output")
-                feedback_btn = gr.Button(value="Submit")
-        feedback_btn.click(save_feedback, [inputs], [output_markdown])
+        # feedback_btn.click(save_feedback, [inputs], [output_markdown])
+
+
 demo.launch(debug=True)