Minor fixes

modules/chat.py

@@ -74,16 +74,16 @@ def generate_chat_prompt(user_input, max_new_tokens, name1, name2, context, chat
         return prompt
 
 
-def extract_message_from_reply(reply, name1, name2, stop_at_newline):
+def extract_message_from_reply(reply, state):
     next_character_found = False
 
-    if stop_at_newline:
+    if state['stop_at_newline']:
         lines = reply.split('\n')
         reply = lines[0].strip()
         if len(lines) > 1:
             next_character_found = True
     else:
-        for string in [f"\n{name1}:", f"\n{name2}:"]:
+        for string in [f"\n{state['name1']}:", f"\n{state['name2']}:"]:
             idx = reply.find(string)
             if idx != -1:
                 reply = reply[:idx]
@@ -92,7 +92,7 @@ def extract_message_from_reply(reply, name1, name2, stop_at_newline):
         # If something like "\nYo" is generated just before "\nYou:"
         # is completed, trim it
         if not next_character_found:
-            for string in [f"\n{name1}:", f"\n{name2}:"]:
+            for string in [f"\n{state['name1']}:", f"\n{state['name2']}:"]:
                 for j in range(len(string) - 1, 0, -1):
                     if reply[-j:] == string[:j]:
                         reply = reply[:-j]
@@ -105,21 +105,18 @@ def extract_message_from_reply(reply, name1, name2, stop_at_newline):
     return reply, next_character_found
 
 
-def chatbot_wrapper(text, generate_state, name1, name2, context, mode, end_of_turn, regenerate=False, _continue=False):
-    if mode == 'instruct':
-        stopping_strings = [f"\n{name1}", f"\n{name2}"]
+def chatbot_wrapper(text, state, regenerate=False, _continue=False):
+    if state['mode'] == 'instruct':
+        stopping_strings = [f"\n{state['name1']}", f"\n{state['name2']}"]
     else:
-        stopping_strings = [f"\n{name1}:", f"\n{name2}:"]
+        stopping_strings = [f"\n{state['name1']}:", f"\n{state['name2']}:"]
 
     # Defining some variables
     cumulative_reply = ''
     last_reply = [shared.history['internal'][-1][1], shared.history['visible'][-1][1]] if _continue else None
     just_started = True
-    name1_original = name1
     visible_text = custom_generate_chat_prompt = None
-    eos_token = '\n' if generate_state['stop_at_newline'] else None
-    if 'pygmalion' in shared.model_name.lower():
-        name1 = "You"
+    eos_token = '\n' if state['stop_at_newline'] else None
 
     # Check if any extension wants to hijack this function call
     for extension, _ in extensions_module.iterator():
@@ -136,28 +133,28 @@ def chatbot_wrapper(text, generate_state, name1, name2, context, mode, end_of_tu
 
     # Generating the prompt
     kwargs = {
-        'end_of_turn': end_of_turn,
-        'is_instruct': mode == 'instruct',
+        'end_of_turn': state['end_of_turn'],
+        'is_instruct': state['mode'] == 'instruct',
         '_continue': _continue
     }
     if custom_generate_chat_prompt is None:
-        prompt = generate_chat_prompt(text, generate_state['max_new_tokens'], name1, name2, context, generate_state['chat_prompt_size'], **kwargs)
+        prompt = generate_chat_prompt(text, state['max_new_tokens'], state['name1'], state['name2'], state['context'], state['chat_prompt_size'], **kwargs)
     else:
-        prompt = custom_generate_chat_prompt(text, generate_state['max_new_tokens'], name1, name2, context, generate_state['chat_prompt_size'], **kwargs)
+        prompt = custom_generate_chat_prompt(text, state['max_new_tokens'], state['name1'], state['name2'], state['context'], state['chat_prompt_size'], **kwargs)
 
     # Yield *Is typing...*
     if not any((regenerate, _continue)):
         yield shared.history['visible'] + [[visible_text, shared.processing_message]]
 
     # Generate
-    for i in range(generate_state['chat_generation_attempts']):
+    for i in range(state['chat_generation_attempts']):
         reply = None
-        for reply in generate_reply(f"{prompt}{' ' if len(cumulative_reply) > 0 else ''}{cumulative_reply}", generate_state, eos_token=eos_token, stopping_strings=stopping_strings):
+        for reply in generate_reply(f"{prompt}{' ' if len(cumulative_reply) > 0 else ''}{cumulative_reply}", state, eos_token=eos_token, stopping_strings=stopping_strings):
             reply = cumulative_reply + reply
 
             # Extracting the reply
-            reply, next_character_found = extract_message_from_reply(reply, name1, name2, generate_state['stop_at_newline'])
-            visible_reply = re.sub("(<USER>|<user>|{{user}})", name1_original, reply)
+            reply, next_character_found = extract_message_from_reply(reply, state)
+            visible_reply = re.sub("(<USER>|<user>|{{user}})", state['name1'], reply)
             visible_reply = apply_extensions(visible_reply, "output")
 
             # We need this global variable to handle the Stop event,
@@ -171,7 +168,7 @@ def chatbot_wrapper(text, generate_state, name1, name2, context, mode, end_of_tu
                     shared.history['visible'].append(['', ''])
 
             if _continue:
-                sep = list(map(lambda x : ' ' if x[-1] != ' ' else '', last_reply))
+                sep = list(map(lambda x: ' ' if x[-1] != ' ' else '', last_reply))
                 shared.history['internal'][-1] = [text, f'{last_reply[0]}{sep[0]}{reply}']
                 shared.history['visible'][-1] = [visible_text, f'{last_reply[1]}{sep[1]}{visible_reply}']
             else:
@@ -188,28 +185,25 @@ def chatbot_wrapper(text, generate_state, name1, name2, context, mode, end_of_tu
     yield shared.history['visible']
 
 
-def impersonate_wrapper(text, generate_state, name1, name2, context, mode, end_of_turn):
-    if mode == 'instruct':
-        stopping_strings = [f"\n{name1}", f"\n{name2}"]
+def impersonate_wrapper(text, state):
+    if state['mode'] == 'instruct':
+        stopping_strings = [f"\n{state['name1']}", f"\n{state['name2']}"]
     else:
-        stopping_strings = [f"\n{name1}:", f"\n{name2}:"]
+        stopping_strings = [f"\n{state['name1']}:", f"\n{state['name2']}:"]
 
     # Defining some variables
     cumulative_reply = ''
-    eos_token = '\n' if generate_state['stop_at_newline'] else None
-    if 'pygmalion' in shared.model_name.lower():
-        name1 = "You"
-
-    prompt = generate_chat_prompt(text, generate_state['max_new_tokens'], name1, name2, context, generate_state['chat_prompt_size'], impersonate=True, end_of_turn=end_of_turn)
+    eos_token = '\n' if state['stop_at_newline'] else None
+    prompt = generate_chat_prompt(text, state['max_new_tokens'], state['name1'], state['name2'], state['context'], state['chat_prompt_size'], end_of_turn=state['end_of_turn'], impersonate=True)
 
     # Yield *Is typing...*
     yield shared.processing_message
 
-    for i in range(generate_state['chat_generation_attempts']):
+    for i in range(state['chat_generation_attempts']):
         reply = None
-        for reply in generate_reply(f"{prompt}{' ' if len(cumulative_reply) > 0 else ''}{cumulative_reply}", generate_state, eos_token=eos_token, stopping_strings=stopping_strings):
+        for reply in generate_reply(f"{prompt}{' ' if len(cumulative_reply) > 0 else ''}{cumulative_reply}", state, eos_token=eos_token, stopping_strings=stopping_strings):
             reply = cumulative_reply + reply
-            reply, next_character_found = extract_message_from_reply(reply, name1, name2, generate_state['stop_at_newline'])
+            reply, next_character_found = extract_message_from_reply(reply, state)
             yield reply
             if next_character_found:
                 break
@@ -220,32 +214,32 @@ def impersonate_wrapper(text, generate_state, name1, name2, context, mode, end_o
     yield reply
 
 
-def cai_chatbot_wrapper(text, generate_state, name1, name2, context, mode, end_of_turn):
-    for history in chatbot_wrapper(text, generate_state, name1, name2, context, mode, end_of_turn):
-        yield chat_html_wrapper(history, name1, name2, mode)
+def cai_chatbot_wrapper(text, state):
+    for history in chatbot_wrapper(text, state):
+        yield chat_html_wrapper(history, state['name1'], state['name2'], state['mode'])
 
 
-def regenerate_wrapper(text, generate_state, name1, name2, context, mode, end_of_turn):
+def regenerate_wrapper(text, state):
     if (len(shared.history['visible']) == 1 and not shared.history['visible'][0][0]) or len(shared.history['internal']) == 0:
-        yield chat_html_wrapper(shared.history['visible'], name1, name2, mode)
+        yield chat_html_wrapper(shared.history['visible'], state['name1'], state['name2'], state['mode'])
     else:
         last_visible = shared.history['visible'].pop()
         last_internal = shared.history['internal'].pop()
         # Yield '*Is typing...*'
-        yield chat_html_wrapper(shared.history['visible'] + [[last_visible[0], shared.processing_message]], name1, name2, mode)
-        for history in chatbot_wrapper(last_internal[0], generate_state, name1, name2, context, mode, end_of_turn, regenerate=True):
+        yield chat_html_wrapper(shared.history['visible'] + [[last_visible[0], shared.processing_message]], state['name1'], state['name2'], state['mode'])
+        for history in chatbot_wrapper(last_internal[0], state, regenerate=True):
             shared.history['visible'][-1] = [last_visible[0], history[-1][1]]
-            yield chat_html_wrapper(shared.history['visible'], name1, name2, mode)
+            yield chat_html_wrapper(shared.history['visible'], state['name1'], state['name2'], state['mode'])
 
 
-def continue_wrapper(text, generate_state, name1, name2, context, mode, end_of_turn):
+def continue_wrapper(text, state):
     if (len(shared.history['visible']) == 1 and not shared.history['visible'][0][0]) or len(shared.history['internal']) == 0:
-        yield chat_html_wrapper(shared.history['visible'], name1, name2, mode)
+        yield chat_html_wrapper(shared.history['visible'], state['name1'], state['name2'], state['mode'])
     else:
         # Yield ' ...'
-        yield chat_html_wrapper(shared.history['visible'][:-1] + [[shared.history['visible'][-1][0], shared.history['visible'][-1][1] + ' ...']], name1, name2, mode)
-        for history in chatbot_wrapper(shared.history['internal'][-1][0], generate_state, name1, name2, context, mode, end_of_turn, _continue=True):
-            yield chat_html_wrapper(shared.history['visible'], name1, name2, mode)
+        yield chat_html_wrapper(shared.history['visible'][:-1] + [[shared.history['visible'][-1][0], shared.history['visible'][-1][1] + ' ...']], state['name1'], state['name2'], state['mode'])
+        for history in chatbot_wrapper(shared.history['internal'][-1][0], state, _continue=True):
+            yield chat_html_wrapper(shared.history['visible'], state['name1'], state['name2'], state['mode'])
 
 
 def remove_last_message(name1, name2, mode):
@@ -284,7 +278,7 @@ def clear_chat_log(name1, name2, greeting, mode):
     if greeting != '':
         shared.history['internal'] += [['<|BEGIN-VISIBLE-CHAT|>', greeting]]
         shared.history['visible'] += [['', apply_extensions(greeting, "output")]]
-    
+
     # Save cleared logs
     save_history(mode)
 
@@ -452,7 +446,7 @@ def load_character(character, name1, name2, mode):
             if greeting != "":
                 shared.history['internal'] += [['<|BEGIN-VISIBLE-CHAT|>', greeting]]
                 shared.history['visible'] += [['', apply_extensions(greeting, "output")]]
-            
+
             # Create .json log files since they don't already exist
             save_history(mode)
 

modules/text_generation.py

@@ -69,6 +69,7 @@ def generate_softprompt_input_tensors(input_ids):
     # filler_input_ids += shared.model.config.bos_token_id # setting dummy input_ids to bos tokens
     return inputs_embeds, filler_input_ids
 
+
 # Removes empty replies from gpt4chan outputs
 def fix_gpt4chan(s):
     for i in range(10):
@@ -77,6 +78,7 @@ def fix_gpt4chan(s):
         s = re.sub("--- [0-9]*\n\n\n---", "---", s)
     return s
 
+
 # Fix the LaTeX equations in galactica
 def fix_galactica(s):
     s = s.replace(r'\[', r'$')
@@ -117,9 +119,9 @@ def stop_everything_event():
     shared.stop_everything = True
 
 
-def generate_reply(question, generate_state, eos_token=None, stopping_strings=[]):
+def generate_reply(question, state, eos_token=None, stopping_strings=[]):
     clear_torch_cache()
-    seed = set_manual_seed(generate_state['seed'])
+    seed = set_manual_seed(state['seed'])
     shared.stop_everything = False
     generate_params = {}
     t0 = time.time()
@@ -134,8 +136,8 @@ def generate_reply(question, generate_state, eos_token=None, stopping_strings=[]
     # separately and terminate the function call earlier
     if any((shared.is_RWKV, shared.is_llamacpp)):
         for k in ['temperature', 'top_p', 'top_k', 'repetition_penalty']:
-            generate_params[k] = generate_state[k]
-        generate_params['token_count'] = generate_state['max_new_tokens']
+            generate_params[k] = state[k]
+        generate_params['token_count'] = state['max_new_tokens']
         try:
             if shared.args.no_stream:
                 reply = shared.model.generate(context=question, **generate_params)
@@ -164,7 +166,7 @@ def generate_reply(question, generate_state, eos_token=None, stopping_strings=[]
             print(f'Output generated in {(t1-t0):.2f} seconds ({new_tokens/(t1-t0):.2f} tokens/s, {new_tokens} tokens, context {original_tokens}, seed {seed})')
             return
 
-    input_ids = encode(question, generate_state['max_new_tokens'], add_bos_token=generate_state['add_bos_token'])
+    input_ids = encode(question, state['max_new_tokens'], add_bos_token=state['add_bos_token'])
     original_input_ids = input_ids
     output = input_ids[0]
 
@@ -179,13 +181,13 @@ def generate_reply(question, generate_state, eos_token=None, stopping_strings=[]
 
     if not shared.args.flexgen:
         for k in ['max_new_tokens', 'do_sample', 'temperature', 'top_p', 'typical_p', 'repetition_penalty', 'encoder_repetition_penalty', 'top_k', 'min_length', 'no_repeat_ngram_size', 'num_beams', 'penalty_alpha', 'length_penalty', 'early_stopping']:
-            generate_params[k] = generate_state[k]
+            generate_params[k] = state[k]
         generate_params['eos_token_id'] = eos_token_ids
         generate_params['stopping_criteria'] = stopping_criteria_list
     else:
         for k in ['max_new_tokens', 'do_sample', 'temperature']:
-            generate_params[k] = generate_state[k]
-        generate_params['stop'] = generate_state['eos_token_ids'][-1]
+            generate_params[k] = state[k]
+        generate_params['stop'] = state['eos_token_ids'][-1]
         if not shared.args.no_stream:
             generate_params['max_new_tokens'] = 8
 
@@ -248,7 +250,7 @@ def generate_reply(question, generate_state, eos_token=None, stopping_strings=[]
 
         # Stream the output naively for FlexGen since it doesn't support 'stopping_criteria'
         else:
-            for i in range(generate_state['max_new_tokens'] // 8 + 1):
+            for i in range(state['max_new_tokens'] // 8 + 1):
                 clear_torch_cache()
                 with torch.no_grad():
                     output = shared.model.generate(**generate_params)[0]

server.py

@@ -184,22 +184,22 @@ def download_model_wrapper(repo_id):
         branch = "main"
         check = False
 
-        yield("Cleaning up the model/branch names")
+        yield ("Cleaning up the model/branch names")
         model, branch = downloader.sanitize_model_and_branch_names(model, branch)
 
-        yield("Getting the download links from Hugging Face")
+        yield ("Getting the download links from Hugging Face")
         links, sha256, is_lora = downloader.get_download_links_from_huggingface(model, branch, text_only=False)
 
-        yield("Getting the output folder")
+        yield ("Getting the output folder")
         output_folder = downloader.get_output_folder(model, branch, is_lora)
 
         if check:
-            yield("Checking previously downloaded files")
+            yield ("Checking previously downloaded files")
             downloader.check_model_files(model, branch, links, sha256, output_folder)
         else:
-            yield(f"Downloading files to {output_folder}")
+            yield (f"Downloading files to {output_folder}")
             downloader.download_model_files(model, branch, links, sha256, output_folder, threads=1)
-            yield("Done!")
+            yield ("Done!")
     except:
         yield traceback.format_exc()
 
@@ -357,6 +357,20 @@ else:
 title = 'Text generation web UI'
 
 
+def list_interface_input_elements(chat=False):
+    elements = ['max_new_tokens', 'seed', 'temperature', 'top_p', 'top_k', 'typical_p', 'repetition_penalty', 'encoder_repetition_penalty', 'no_repeat_ngram_size', 'min_length', 'do_sample', 'penalty_alpha', 'num_beams', 'length_penalty', 'early_stopping', 'add_bos_token']
+    if chat:
+        elements += ['name1', 'name2', 'greeting', 'context', 'end_of_turn', 'chat_prompt_size', 'chat_generation_attempts', 'stop_at_newline', 'mode']
+    return elements
+
+
+def gather_interface_values(*args):
+    output = {}
+    for i, element in enumerate(shared.input_elements):
+        output[element] = args[i]
+    return output
+
+
 def create_interface():
     gen_events = []
     if shared.args.extensions is not None and len(shared.args.extensions) > 0:
@@ -364,7 +378,11 @@ def create_interface():
 
     with gr.Blocks(css=ui.css if not shared.is_chat() else ui.css + ui.chat_css, analytics_enabled=False, title=title) as shared.gradio['interface']:
         if shared.is_chat():
+
+            shared.input_elements = list_interface_input_elements(chat=True)
+            shared.gradio['interface_state'] = gr.State({k: None for k in shared.input_elements})
             shared.gradio['Chat input'] = gr.State()
+
             with gr.Tab("Text generation", elem_id="main"):
                 shared.gradio['display'] = gr.HTML(value=chat_html_wrapper(shared.history['visible'], shared.settings['name1'], shared.settings['name2'], 'cai-chat'))
                 shared.gradio['textbox'] = gr.Textbox(label='Input')
@@ -384,7 +402,7 @@ def create_interface():
                     shared.gradio['Clear history-confirm'] = gr.Button('Confirm', variant="stop", visible=False)
                     shared.gradio['Clear history-cancel'] = gr.Button('Cancel', visible=False)
 
-                shared.gradio["Chat mode"] = gr.Radio(choices=["cai-chat", "chat", "instruct"], value="cai-chat", label="Mode")
+                shared.gradio["mode"] = gr.Radio(choices=["cai-chat", "chat", "instruct"], value="cai-chat", label="Mode")
                 shared.gradio["Instruction templates"] = gr.Dropdown(choices=get_available_instruction_templates(), label="Instruction template", value="None", visible=False, info="Change this according to the model/LoRA that you are using.")
 
             with gr.Tab("Character", elem_id="chat-settings"):
@@ -439,75 +457,85 @@ def create_interface():
 
                 create_settings_menus(default_preset)
 
-            shared.input_params = [shared.gradio[k] for k in ['Chat input', 'generate_state', 'name1', 'name2', 'context', 'Chat mode', 'end_of_turn']]
+            shared.input_params = [shared.gradio[k] for k in ['Chat input', 'interface_state']]
             clear_arr = [shared.gradio[k] for k in ['Clear history-confirm', 'Clear history', 'Clear history-cancel']]
-            reload_inputs = [shared.gradio[k] for k in ['name1', 'name2', 'Chat mode']]
+            reload_inputs = [shared.gradio[k] for k in ['name1', 'name2', 'mode']]
 
             gen_events.append(shared.gradio['Generate'].click(
+                gather_interface_values, [shared.gradio[k] for k in shared.input_elements], shared.gradio['interface_state']).then(
                 lambda x: (x, ''), shared.gradio['textbox'], [shared.gradio['Chat input'], shared.gradio['textbox']], show_progress=False).then(
                 chat.cai_chatbot_wrapper, shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream).then(
-                chat.save_history, shared.gradio['Chat mode'], None, show_progress=False)
+                chat.save_history, shared.gradio['mode'], None, show_progress=False)
             )
 
             gen_events.append(shared.gradio['textbox'].submit(
+                gather_interface_values, [shared.gradio[k] for k in shared.input_elements], shared.gradio['interface_state']).then(
                 lambda x: (x, ''), shared.gradio['textbox'], [shared.gradio['Chat input'], shared.gradio['textbox']], show_progress=False).then(
                 chat.cai_chatbot_wrapper, shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream).then(
-                chat.save_history, shared.gradio['Chat mode'], None, show_progress=False)
+                chat.save_history, shared.gradio['mode'], None, show_progress=False)
             )
 
             gen_events.append(shared.gradio['Regenerate'].click(
+                gather_interface_values, [shared.gradio[k] for k in shared.input_elements], shared.gradio['interface_state']).then(
                 chat.regenerate_wrapper, shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream).then(
-                chat.save_history, shared.gradio['Chat mode'], None, show_progress=False)
+                chat.save_history, shared.gradio['mode'], None, show_progress=False)
             )
 
             gen_events.append(shared.gradio['Continue'].click(
+                gather_interface_values, [shared.gradio[k] for k in shared.input_elements], shared.gradio['interface_state']).then(
                 chat.continue_wrapper, shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream).then(
-                chat.save_history, shared.gradio['Chat mode'], None, show_progress=False)
+                chat.save_history, shared.gradio['mode'], None, show_progress=False)
+            )
+
+            gen_events.append(shared.gradio['Impersonate'].click(
+                gather_interface_values, [shared.gradio[k] for k in shared.input_elements], shared.gradio['interface_state']).then(
+                chat.impersonate_wrapper, shared.input_params, shared.gradio['textbox'], show_progress=shared.args.no_stream)
             )
 
             shared.gradio['Replace last reply'].click(
-                chat.replace_last_reply, [shared.gradio[k] for k in ['textbox', 'name1', 'name2', 'Chat mode']], shared.gradio['display'], show_progress=shared.args.no_stream).then(
+                chat.replace_last_reply, [shared.gradio[k] for k in ['textbox', 'name1', 'name2', 'mode']], shared.gradio['display'], show_progress=shared.args.no_stream).then(
                 lambda x: '', shared.gradio['textbox'], shared.gradio['textbox'], show_progress=False).then(
-                chat.save_history, shared.gradio['Chat mode'], None, show_progress=False)
+                chat.save_history, shared.gradio['mode'], None, show_progress=False)
 
             shared.gradio['Clear history-confirm'].click(
                 lambda: [gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)], None, clear_arr).then(
-                chat.clear_chat_log, [shared.gradio[k] for k in ['name1', 'name2', 'greeting', 'Chat mode']], shared.gradio['display']).then(
-                chat.save_history, shared.gradio['Chat mode'], None, show_progress=False)
+                chat.clear_chat_log, [shared.gradio[k] for k in ['name1', 'name2', 'greeting', 'mode']], shared.gradio['display']).then(
+                chat.save_history, shared.gradio['mode'], None, show_progress=False)
 
             shared.gradio['Stop'].click(
                 stop_everything_event, None, None, queue=False, cancels=gen_events if shared.args.no_stream else None).then(
                 chat.redraw_html, reload_inputs, shared.gradio['display'])
 
-            shared.gradio['Chat mode'].change(
-                lambda x: gr.update(visible=x == 'instruct'), shared.gradio['Chat mode'], shared.gradio['Instruction templates']).then(
-                lambda x: gr.update(interactive=x != 'instruct'), shared.gradio['Chat mode'], shared.gradio['character_menu']).then(
+            shared.gradio['mode'].change(
+                lambda x: gr.update(visible=x == 'instruct'), shared.gradio['mode'], shared.gradio['Instruction templates']).then(
+                lambda x: gr.update(interactive=x != 'instruct'), shared.gradio['mode'], shared.gradio['character_menu']).then(
                 chat.redraw_html, reload_inputs, shared.gradio['display'])
 
             shared.gradio['Instruction templates'].change(
-                lambda character, name1, name2, mode: chat.load_character(character, name1, name2, mode), [shared.gradio[k] for k in ['Instruction templates', 'name1', 'name2', 'Chat mode']], [shared.gradio[k] for k in ['name1', 'name2', 'character_picture', 'greeting', 'context', 'end_of_turn', 'display']]).then(
+                lambda character, name1, name2, mode: chat.load_character(character, name1, name2, mode), [shared.gradio[k] for k in ['Instruction templates', 'name1', 'name2', 'mode']], [shared.gradio[k] for k in ['name1', 'name2', 'character_picture', 'greeting', 'context', 'end_of_turn', 'display']]).then(
                 chat.redraw_html, reload_inputs, shared.gradio['display'])
 
             shared.gradio['upload_chat_history'].upload(
                 chat.load_history, [shared.gradio[k] for k in ['upload_chat_history', 'name1', 'name2']], None).then(
                 chat.redraw_html, reload_inputs, shared.gradio['display'])
 
-            gen_events.append(shared.gradio['Impersonate'].click(chat.impersonate_wrapper, shared.input_params, shared.gradio['textbox'], show_progress=shared.args.no_stream))
             shared.gradio['Copy last reply'].click(chat.send_last_reply_to_input, None, shared.gradio['textbox'], show_progress=shared.args.no_stream)
             shared.gradio['Clear history'].click(lambda: [gr.update(visible=True), gr.update(visible=False), gr.update(visible=True)], None, clear_arr)
             shared.gradio['Clear history-cancel'].click(lambda: [gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)], None, clear_arr)
-            shared.gradio['Remove last'].click(chat.remove_last_message, [shared.gradio[k] for k in ['name1', 'name2', 'Chat mode']], [shared.gradio['display'], shared.gradio['textbox']], show_progress=False)
-            shared.gradio['download_button'].click(lambda x: chat.save_history(x, timestamp=True), shared.gradio['Chat mode'], shared.gradio['download'])
+            shared.gradio['Remove last'].click(chat.remove_last_message, [shared.gradio[k] for k in ['name1', 'name2', 'mode']], [shared.gradio['display'], shared.gradio['textbox']], show_progress=False)
+            shared.gradio['download_button'].click(lambda x: chat.save_history(x, timestamp=True), shared.gradio['mode'], shared.gradio['download'])
             shared.gradio['Upload character'].click(chat.upload_character, [shared.gradio['upload_json'], shared.gradio['upload_img_bot']], [shared.gradio['character_menu']])
-            shared.gradio['character_menu'].change(chat.load_character, [shared.gradio[k] for k in ['character_menu', 'name1', 'name2', 'Chat mode']], [shared.gradio[k] for k in ['name1', 'name2', 'character_picture', 'greeting', 'context', 'end_of_turn', 'display']])
+            shared.gradio['character_menu'].change(chat.load_character, [shared.gradio[k] for k in ['character_menu', 'name1', 'name2', 'mode']], [shared.gradio[k] for k in ['name1', 'name2', 'character_picture', 'greeting', 'context', 'end_of_turn', 'display']])
             shared.gradio['upload_img_tavern'].upload(chat.upload_tavern_character, [shared.gradio['upload_img_tavern'], shared.gradio['name1'], shared.gradio['name2']], [shared.gradio['character_menu']])
-            shared.gradio['your_picture'].change(chat.upload_your_profile_picture, [shared.gradio[k] for k in ['your_picture', 'name1', 'name2', 'Chat mode']], shared.gradio['display'])
+            shared.gradio['your_picture'].change(chat.upload_your_profile_picture, [shared.gradio[k] for k in ['your_picture', 'name1', 'name2', 'mode']], shared.gradio['display'])
 
             shared.gradio['interface'].load(None, None, None, _js=f"() => {{{ui.main_js+ui.chat_js}}}")
             shared.gradio['interface'].load(chat.load_default_history, [shared.gradio[k] for k in ['name1', 'name2']], None)
             shared.gradio['interface'].load(chat.redraw_html, reload_inputs, shared.gradio['display'], show_progress=True)
 
         elif shared.args.notebook:
+            shared.input_elements = list_interface_input_elements(chat=False)
+            shared.gradio['interface_state'] = gr.State({k: None for k in shared.input_elements})
             with gr.Tab("Text generation", elem_id="main"):
                 with gr.Row():
                     with gr.Column(scale=4):
@@ -537,12 +565,23 @@ def create_interface():
 
             shared.input_params = [shared.gradio[k] for k in ['textbox', 'generate_state']]
             output_params = [shared.gradio[k] for k in ['textbox', 'markdown', 'html']]
-            gen_events.append(shared.gradio['Generate'].click(generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream))
-            gen_events.append(shared.gradio['textbox'].submit(generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream))
+
+            gen_events.append(shared.gradio['Generate'].click(
+                gather_interface_values, [shared.gradio[k] for k in shared.input_elements], shared.gradio['interface_state']).then(
+                generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream)
+            )
+
+            gen_events.append(shared.gradio['textbox'].submit(
+                gather_interface_values, [shared.gradio[k] for k in shared.input_elements], shared.gradio['interface_state']).then(
+                generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream)
+            )
+
             shared.gradio['Stop'].click(stop_everything_event, None, None, queue=False, cancels=gen_events if shared.args.no_stream else None)
             shared.gradio['interface'].load(None, None, None, _js=f"() => {{{ui.main_js}}}")
 
         else:
+            shared.input_elements = list_interface_input_elements(chat=False)
+            shared.gradio['interface_state'] = gr.State({k: None for k in shared.input_elements})
             with gr.Tab("Text generation", elem_id="main"):
                 with gr.Row():
                     with gr.Column():
@@ -570,9 +609,22 @@ def create_interface():
 
             shared.input_params = [shared.gradio[k] for k in ['textbox', 'generate_state']]
             output_params = [shared.gradio[k] for k in ['output_textbox', 'markdown', 'html']]
-            gen_events.append(shared.gradio['Generate'].click(generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream))
-            gen_events.append(shared.gradio['textbox'].submit(generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream))
-            gen_events.append(shared.gradio['Continue'].click(generate_reply, [shared.gradio['output_textbox']] + shared.input_params[1:], output_params, show_progress=shared.args.no_stream))
+
+            gen_events.append(shared.gradio['Generate'].click(
+                gather_interface_values, [shared.gradio[k] for k in shared.input_elements], shared.gradio['interface_state']).then(
+                generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream)
+            )
+
+            gen_events.append(shared.gradio['textbox'].submit(
+                gather_interface_values, [shared.gradio[k] for k in shared.input_elements], shared.gradio['interface_state']).then(
+                generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream)
+            )
+
+            gen_events.append(shared.gradio['Continue'].click(
+                gather_interface_values, [shared.gradio[k] for k in shared.input_elements], shared.gradio['interface_state']).then(
+                generate_reply, [shared.gradio['output_textbox']] + shared.input_params[1:], output_params, show_progress=shared.args.no_stream)
+            )
+
             shared.gradio['Stop'].click(stop_everything_event, None, None, queue=False, cancels=gen_events if shared.args.no_stream else None)
             shared.gradio['interface'].load(None, None, None, _js=f"() => {{{ui.main_js}}}")
 
@@ -607,18 +659,6 @@ def create_interface():
         if shared.args.extensions is not None:
             extensions_module.create_extensions_block()
 
-        def change_dict_value(d, key, value):
-            d[key] = value
-            return d
-
-        for k in ['do_sample', 'temperature', 'top_p', 'typical_p', 'repetition_penalty', 'encoder_repetition_penalty', 'top_k', 'min_length', 'no_repeat_ngram_size', 'num_beams', 'penalty_alpha', 'length_penalty', 'early_stopping', 'add_bos_token', 'max_new_tokens', 'seed', 'stop_at_newline', 'chat_prompt_size', 'chat_generation_attempts']:
-            if k not in shared.gradio:
-                continue
-            if type(shared.gradio[k]) in [gr.Checkbox, gr.Number]:
-                shared.gradio[k].change(lambda state, value, copy=k: change_dict_value(state, copy, value), inputs=[shared.gradio['generate_state'], shared.gradio[k]], outputs=shared.gradio['generate_state'])
-            else:
-                shared.gradio[k].release(lambda state, value, copy=k: change_dict_value(state, copy, value), inputs=[shared.gradio['generate_state'], shared.gradio[k]], outputs=shared.gradio['generate_state'])
-
         if not shared.is_chat():
             api.create_apis()