added like/dislike, avatar and bubble_width

app.py

@@ -114,6 +114,37 @@ additional_inputs=[
 ]
 
 
+
+def vote(data: gr.LikeData):
+    if data.liked:
+        print("You upvoted this response: " + data.value)
+    else:
+        print("You downvoted this response: " + data.value)
+        
+
+chatbot = gr.Chatbot(avatar_images=('user.png', 'bot.png'),bubble_full_width = False)
+
+#chat = gr.ChatInterface(fn = random_response, chatbot = chatbot,
+#                        #chatbot = gr.Chatbot(avatar_images=('user.png', 'bot.png'),bubble_full_width = False),
+#                     textbox = gr.Textbox(placeholder="Ask me a yes or no question", container=False, scale=7),)
+
+chat_interface = gr.ChatInterface(
+    generate, 
+    chatbot = chatbot,
+    examples=EXAMPLES,
+    additional_inputs=additional_inputs,
+    ) 
+
+#with gr.Blocks() as demo:
+#    chatbot.like(vote, None, None)
+#    chat.render()
+                     #additional_inputs = chatbot.like(vote, None, None))
+    #chatbot.like(vote, None, None)
+
+#demo.like(vote, None, None)
+#demo.launch()
+
+
 with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column(scale=0.4):
@@ -135,12 +166,15 @@ with gr.Blocks() as demo:
                 ⚠️ **Limitations**: the model can and will produce factually incorrect information, hallucinating facts and actions. As it has not undergone any advanced tuning/alignment, it can produce problematic outputs, especially if prompted to do so. Finally, this demo is limited to a session length of about 1,000 words.
                 """
             )
-
-    gr.ChatInterface(
-        generate, 
-        examples=EXAMPLES,
-        additional_inputs=additional_inputs,
-        avatar_images = ('user.png', 'bot.png')
-    ) 
+            
+    chatbot.like(vote, None, None)
+    chat_interface.render()
+    
+    #gr.ChatInterface(
+    #    generate, 
+    #    examples=EXAMPLES,
+    #   additional_inputs=additional_inputs,
+    #    avatar_images = ('user.png', 'bot.png')
+    #) 
 
 demo.queue(concurrency_count=100, api_open=False).launch(show_api=False)