diff --git a/demo_v2.py b/demo_v2.py
index 4f66d53..79859cf 100644
--- a/demo_v2.py
+++ b/demo_v2.py
@@ -191,7 +191,6 @@ def visualize_all_bbox_together(image, generation):
         return None, ''
 
     generation = html.unescape(generation)
-    print('gen begin', generation)
 
     image_width, image_height = image.size
     image = image.resize([500, int(500 / image_width * image_height)])
@@ -372,9 +371,7 @@ def visualize_all_bbox_together(image, generation):
             color = next(color_gen)
             return f'<span style="color:rgb{color}">{phrase}</span>'
 
-        print('gen before', generation)
         generation = re.sub(r'{<\d+><\d+><\d+><\d+>}|<delim>', '', generation)
-        print('gen after', generation)
         generation_colored = re.sub(r'<p>(.*?)</p>', colored_phrases, generation)
     else:
         generation_colored = ''
@@ -395,31 +392,28 @@ def gradio_reset(chat_state, img_list):
 def image_upload_trigger(upload_flag, replace_flag, img_list):
     # set the upload flag to true when receive a new image.
     # if there is an old image (and old conversation), set the replace flag to true to reset the conv later.
-    print('flag', upload_flag, replace_flag)
-    print("SET UPLOAD FLAG!")
     upload_flag = 1
     if img_list:
-        print("SET REPLACE FLAG!")
         replace_flag = 1
-    print('flag', upload_flag, replace_flag)
     return upload_flag, replace_flag
 
 
 def example_trigger(text_input, image, upload_flag, replace_flag, img_list):
     # set the upload flag to true when receive a new image.
     # if there is an old image (and old conversation), set the replace flag to true to reset the conv later.
-    print('flag', upload_flag, replace_flag)
-    print("SET UPLOAD FLAG!")
     upload_flag = 1
     if img_list or replace_flag == 1:
-        print("SET REPLACE FLAG!")
         replace_flag = 1
 
-    print('flag', upload_flag, replace_flag)
     return upload_flag, replace_flag
 
 
 def gradio_ask(user_message, chatbot, chat_state, gr_img, img_list, upload_flag, replace_flag):
+    if len(user_message) == 0:
+        text_box_show = 'Input should not be empty!'
+    else:
+        text_box_show = ''
+
     if isinstance(gr_img, dict):
         gr_img, mask = gr_img['image'], gr_img['mask']
     else:
@@ -432,20 +426,14 @@ def gradio_ask(user_message, chatbot, chat_state, gr_img, img_list, upload_flag,
             bbox = mask2bbox(mask)
             user_message = user_message + bbox
 
-    if len(user_message) == 0:
-        return gr.update(interactive=True, placeholder='Input should not be empty!'), chatbot, chat_state
-
     if chat_state is None:
         chat_state = CONV_VISION.copy()
 
-    print('upload flag: {}'.format(upload_flag))
     if upload_flag:
         if replace_flag:
-            print('RESET!!!!!!!')
             chat_state = CONV_VISION.copy()  # new image, reset everything
             replace_flag = 0
             chatbot = []
-        print('UPLOAD IMAGE!!')
         img_list = []
         llm_message = chat.upload_img(gr_img, chat_state, img_list)
         upload_flag = 0
@@ -457,11 +445,10 @@ def gradio_ask(user_message, chatbot, chat_state, gr_img, img_list, upload_flag,
     if '[identify]' in user_message:
         visual_img, _ = visualize_all_bbox_together(gr_img, user_message)
         if visual_img is not None:
-            print('Visualizing the input')
             file_path = save_tmp_img(visual_img)
             chatbot = chatbot + [[(file_path,), None]]
 
-    return '', chatbot, chat_state, img_list, upload_flag, replace_flag
+    return text_box_show, chatbot, chat_state, img_list, upload_flag, replace_flag
 
 
 def gradio_answer(chatbot, chat_state, img_list, temperature):
@@ -475,9 +462,9 @@ def gradio_answer(chatbot, chat_state, img_list, temperature):
 
 
 def gradio_stream_answer(chatbot, chat_state, img_list, temperature):
-    print('chat state', chat_state.get_prompt())
-    if not isinstance(img_list[0], torch.Tensor):
-        chat.encode_img(img_list)
+    if len(img_list) > 0:
+        if not isinstance(img_list[0], torch.Tensor):
+            chat.encode_img(img_list)
     streamer = chat.stream_answer(conv=chat_state,
                                   img_list=img_list,
                                   temperature=temperature,
@@ -489,7 +476,6 @@ def gradio_stream_answer(chatbot, chat_state, img_list, temperature):
         output += escapped
         chatbot[-1][1] = output
         yield chatbot, chat_state
-    #     print('message: ', chat_state.messages)
     chat_state.messages[-1][1] = '</s>'
     return chatbot, chat_state
 
@@ -501,7 +487,6 @@ def gradio_visualize(chatbot, gr_img):
     unescaped = reverse_escape(chatbot[-1][1])
     visual_img, generation_color = visualize_all_bbox_together(gr_img, unescaped)
     if visual_img is not None:
-        print('Visualizing the output')
         if len(generation_color):
             chatbot[-1][1] = generation_color
         file_path = save_tmp_img(visual_img)