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Add Instruct mode
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oobabooga
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commit
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3
characters/instruction-following/Alpaca.yaml
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3
characters/instruction-following/Alpaca.yaml
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@ -0,0 +1,3 @@
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name: "### Response:"
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your_name: "### Instruction:"
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context: "Below is an instruction that describes a task. Write a response that appropriately completes the request."
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3
characters/instruction-following/Open Assistant.yaml
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3
characters/instruction-following/Open Assistant.yaml
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@ -0,0 +1,3 @@
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name: "<|assistant|>"
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your_name: "<|prompter|>"
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end_of_turn: "<|endoftext|>"
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56
css/html_instruct_style.css
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56
css/html_instruct_style.css
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@ -0,0 +1,56 @@
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.chat {
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margin-left: auto;
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margin-right: auto;
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max-width: 800px;
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height: 66.67vh;
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overflow-y: auto;
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padding-right: 20px;
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display: flex;
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flex-direction: column-reverse;
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}
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.message {
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display: grid;
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grid-template-columns: 60px 1fr;
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padding-bottom: 25px;
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font-size: 15px;
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font-family: Helvetica, Arial, sans-serif;
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line-height: 1.428571429;
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}
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.text p {
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margin-top: 5px;
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}
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.username {
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display: none;
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}
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.message-body {}
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.message-body p {
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margin-bottom: 0 !important;
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font-size: 15px !important;
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line-height: 1.428571429 !important;
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}
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.dark .message-body p em {
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color: rgb(138, 138, 138) !important;
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}
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.message-body p em {
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color: rgb(110, 110, 110) !important;
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}
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.assistant-message {
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padding: 10px;
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}
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.user-message {
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padding: 10px;
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background-color: #f1f1f1;
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}
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.dark .user-message {
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background-color: #ffffff1a;
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}
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@ -176,4 +176,4 @@ def ui():
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force_btn.click(force_pic)
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generate_now_btn.click(force_pic)
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generate_now_btn.click(eval('chat.cai_chatbot_wrapper'), shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream)
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generate_now_btn.click(chat.cai_chatbot_wrapper, shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream)
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@ -36,13 +36,11 @@ def generate_chat_picture(picture, name1, name2):
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def ui():
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picture_select = gr.Image(label='Send a picture', type='pil')
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function_call = 'chat.cai_chatbot_wrapper' if shared.args.cai_chat else 'chat.chatbot_wrapper'
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# Prepare the hijack with custom inputs
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picture_select.upload(lambda picture, name1, name2: input_hijack.update({"state": True, "value": generate_chat_picture(picture, name1, name2)}), [picture_select, shared.gradio['name1'], shared.gradio['name2']], None)
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# Call the generation function
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picture_select.upload(eval(function_call), shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream)
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picture_select.upload(chat.cai_chatbot_wrapper, shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream)
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# Clear the picture from the upload field
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picture_select.upload(lambda : None, [], [picture_select], show_progress=False)
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139
modules/chat.py
139
modules/chat.py
@ -12,46 +12,51 @@ from PIL import Image
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import modules.extensions as extensions_module
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import modules.shared as shared
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from modules.extensions import apply_extensions
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from modules.html_generator import (fix_newlines, generate_chat_html,
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from modules.html_generator import (fix_newlines, chat_html_wrapper,
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make_thumbnail)
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from modules.text_generation import (encode, generate_reply,
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get_max_prompt_length)
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def generate_chat_output(history, name1, name2):
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if shared.args.cai_chat:
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return generate_chat_html(history, name1, name2)
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else:
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return history
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def generate_chat_prompt(user_input, max_new_tokens, name1, name2, context, chat_prompt_size, impersonate=False, also_return_rows=False):
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def generate_chat_prompt(user_input, max_new_tokens, name1, name2, context, chat_prompt_size, is_instruct, end_of_turn="", impersonate=False, also_return_rows=False):
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user_input = fix_newlines(user_input)
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rows = [f"{context.strip()}\n"]
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# Finding the maximum prompt size
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if shared.soft_prompt:
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chat_prompt_size -= shared.soft_prompt_tensor.shape[1]
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max_length = min(get_max_prompt_length(max_new_tokens), chat_prompt_size)
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if is_instruct:
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prefix1 = f"{name1}\n"
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prefix2 = f"{name2}\n"
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else:
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prefix1 = f"{name1}: "
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prefix2 = f"{name2}: "
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i = len(shared.history['internal'])-1
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while i >= 0 and len(encode(''.join(rows), max_new_tokens)[0]) < max_length:
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rows.insert(1, f"{name2}: {shared.history['internal'][i][1].strip()}\n")
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prev_user_input = shared.history['internal'][i][0]
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if prev_user_input not in ['', '<|BEGIN-VISIBLE-CHAT|>']:
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rows.insert(1, f"{name1}: {prev_user_input.strip()}\n")
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rows.insert(1, f"{prefix2}{shared.history['internal'][i][1].strip()}{end_of_turn}\n")
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string = shared.history['internal'][i][0]
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if string not in ['', '<|BEGIN-VISIBLE-CHAT|>']:
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rows.insert(1, f"{prefix1}{string.strip()}{end_of_turn}\n")
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i -= 1
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if not impersonate:
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if len(user_input) > 0:
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rows.append(f"{name1}: {user_input}\n")
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rows.append(apply_extensions(f"{name2}:", "bot_prefix"))
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limit = 3
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else:
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rows.append(f"{name1}:")
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if impersonate:
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rows.append(f"{prefix1.strip() if not is_instruct else prefix1}")
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limit = 2
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else:
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# Adding the user message
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if len(user_input) > 0:
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rows.append(f"{prefix1}{user_input}{end_of_turn}\n")
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# Adding the Character prefix
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rows.append(apply_extensions(f"{prefix2.strip() if not is_instruct else prefix2}", "bot_prefix"))
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limit = 3
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while len(rows) > limit and len(encode(''.join(rows), max_new_tokens)[0]) >= max_length:
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rows.pop(1)
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prompt = ''.join(rows)
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if also_return_rows:
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@ -86,7 +91,7 @@ def extract_message_from_reply(reply, name1, name2, stop_at_newline):
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reply = fix_newlines(reply)
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return reply, next_character_found
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def chatbot_wrapper(text, 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, seed, name1, name2, context, stop_at_newline, chat_prompt_size, chat_generation_attempts=1, regenerate=False):
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def chatbot_wrapper(text, 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, seed, name1, name2, context, stop_at_newline, chat_prompt_size, chat_generation_attempts=1, regenerate=False, mode="cai-chat", end_of_turn=""):
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just_started = True
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eos_token = '\n' if stop_at_newline else None
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name1_original = name1
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@ -105,14 +110,13 @@ def chatbot_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical
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if visible_text is None:
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visible_text = text
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if shared.args.chat:
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visible_text = visible_text.replace('\n', '<br>')
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text = apply_extensions(text, "input")
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is_instruct = mode == 'instruct'
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if custom_generate_chat_prompt is None:
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prompt = generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size)
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prompt = generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size, is_instruct, end_of_turn=end_of_turn)
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else:
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prompt = custom_generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size)
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prompt = custom_generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size, is_instruct, end_of_turn=end_of_turn)
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# Yield *Is typing...*
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if not regenerate:
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@ -129,8 +133,6 @@ def chatbot_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical
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reply, next_character_found = extract_message_from_reply(reply, name1, name2, stop_at_newline)
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visible_reply = re.sub("(<USER>|<user>|{{user}})", name1_original, reply)
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visible_reply = apply_extensions(visible_reply, "output")
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if shared.args.chat:
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visible_reply = visible_reply.replace('\n', '<br>')
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# We need this global variable to handle the Stop event,
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# otherwise gradio gets confused
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@ -153,13 +155,13 @@ def chatbot_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical
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yield shared.history['visible']
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def impersonate_wrapper(text, 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, seed, name1, name2, context, stop_at_newline, chat_prompt_size, chat_generation_attempts=1):
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def impersonate_wrapper(text, 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, seed, name1, name2, context, stop_at_newline, chat_prompt_size, chat_generation_attempts=1, mode="cai-chat", end_of_turn=""):
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eos_token = '\n' if stop_at_newline else None
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if 'pygmalion' in shared.model_name.lower():
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name1 = "You"
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prompt = generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size, impersonate=True)
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prompt = generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size, impersonate=True, end_of_turn=end_of_turn)
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# Yield *Is typing...*
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yield shared.processing_message
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@ -179,36 +181,30 @@ def impersonate_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typ
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yield reply
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def cai_chatbot_wrapper(text, 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, seed, name1, name2, context, stop_at_newline, chat_prompt_size, chat_generation_attempts=1):
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for history in chatbot_wrapper(text, 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, seed, name1, name2, context, stop_at_newline, chat_prompt_size, chat_generation_attempts):
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yield generate_chat_html(history, name1, name2)
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def cai_chatbot_wrapper(text, 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, seed, name1, name2, context, stop_at_newline, chat_prompt_size, chat_generation_attempts=1, mode="cai-chat", end_of_turn=""):
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for history in chatbot_wrapper(text, 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, seed, name1, name2, context, stop_at_newline, chat_prompt_size, chat_generation_attempts, regenerate=False, mode=mode, end_of_turn=end_of_turn):
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yield chat_html_wrapper(history, name1, name2, mode)
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def regenerate_wrapper(text, 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, seed, name1, name2, context, stop_at_newline, chat_prompt_size, chat_generation_attempts=1):
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def regenerate_wrapper(text, 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, seed, name1, name2, context, stop_at_newline, chat_prompt_size, chat_generation_attempts=1, mode="cai-chat", end_of_turn=""):
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if (shared.character != 'None' and len(shared.history['visible']) == 1) or len(shared.history['internal']) == 0:
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yield generate_chat_output(shared.history['visible'], name1, name2)
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yield chat_html_wrapper(shared.history['visible'], name1, name2, mode)
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else:
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last_visible = shared.history['visible'].pop()
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last_internal = shared.history['internal'].pop()
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# Yield '*Is typing...*'
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yield generate_chat_output(shared.history['visible']+[[last_visible[0], shared.processing_message]], name1, name2)
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for history in chatbot_wrapper(last_internal[0], 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, seed, name1, name2, context, stop_at_newline, chat_prompt_size, chat_generation_attempts, regenerate=True):
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if shared.args.cai_chat:
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shared.history['visible'][-1] = [last_visible[0], history[-1][1]]
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else:
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shared.history['visible'][-1] = (last_visible[0], history[-1][1])
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yield generate_chat_output(shared.history['visible'], name1, name2)
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yield chat_html_wrapper(shared.history['visible']+[[last_visible[0], shared.processing_message]], name1, name2, mode)
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for history in chatbot_wrapper(last_internal[0], 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, seed, name1, name2, context, stop_at_newline, chat_prompt_size, chat_generation_attempts, regenerate=True, mode=mode, end_of_turn=end_of_turn):
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shared.history['visible'][-1] = [last_visible[0], history[-1][1]]
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yield chat_html_wrapper(shared.history['visible'], name1, name2, mode)
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def remove_last_message(name1, name2):
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def remove_last_message(name1, name2, mode):
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if len(shared.history['visible']) > 0 and shared.history['internal'][-1][0] != '<|BEGIN-VISIBLE-CHAT|>':
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last = shared.history['visible'].pop()
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shared.history['internal'].pop()
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else:
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last = ['', '']
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if shared.args.cai_chat:
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return generate_chat_html(shared.history['visible'], name1, name2), last[0]
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else:
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return shared.history['visible'], last[0]
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return chat_html_wrapper(shared.history['visible'], name1, name2, mode), last[0]
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def send_last_reply_to_input():
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if len(shared.history['internal']) > 0:
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@ -216,20 +212,17 @@ def send_last_reply_to_input():
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else:
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return ''
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def replace_last_reply(text, name1, name2):
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def replace_last_reply(text, name1, name2, mode):
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if len(shared.history['visible']) > 0:
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if shared.args.cai_chat:
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shared.history['visible'][-1][1] = text
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else:
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shared.history['visible'][-1] = (shared.history['visible'][-1][0], text)
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shared.history['visible'][-1][1] = text
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shared.history['internal'][-1][1] = apply_extensions(text, "input")
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return generate_chat_output(shared.history['visible'], name1, name2)
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return chat_html_wrapper(shared.history['visible'], name1, name2, mode)
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def clear_html():
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return generate_chat_html([], "", "")
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return chat_html_wrapper([], "", "")
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def clear_chat_log(name1, name2, greeting):
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def clear_chat_log(name1, name2, greeting, mode):
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shared.history['visible'] = []
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shared.history['internal'] = []
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@ -237,12 +230,12 @@ def clear_chat_log(name1, name2, greeting):
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shared.history['internal'] += [['<|BEGIN-VISIBLE-CHAT|>', greeting]]
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shared.history['visible'] += [['', apply_extensions(greeting, "output")]]
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return generate_chat_output(shared.history['visible'], name1, name2)
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return chat_html_wrapper(shared.history['visible'], name1, name2, mode)
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def redraw_html(name1, name2):
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return generate_chat_html(shared.history['visible'], name1, name2)
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def redraw_html(name1, name2, mode):
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return chat_html_wrapper(shared.history['visible'], name1, name2, mode)
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def tokenize_dialogue(dialogue, name1, name2):
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def tokenize_dialogue(dialogue, name1, name2, mode):
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history = []
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dialogue = re.sub('<START>', '', dialogue)
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@ -339,11 +332,12 @@ def generate_pfp_cache(character):
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return img
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return None
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def load_character(character, name1, name2):
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def load_character(character, name1, name2, instruct=False):
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shared.character = character
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shared.history['internal'] = []
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shared.history['visible'] = []
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greeting = ""
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context = greeting = end_of_turn = ""
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greeting_field = 'greeting'
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picture = None
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# Deleting the profile picture cache, if any
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@ -351,9 +345,10 @@ def load_character(character, name1, name2):
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Path("cache/pfp_character.png").unlink()
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if character != 'None':
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folder = "characters" if not instruct else "characters/instruction-following"
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picture = generate_pfp_cache(character)
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for extension in ["yml", "yaml", "json"]:
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filepath = Path(f'characters/{character}.{extension}')
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filepath = Path(f'{folder}/{character}.{extension}')
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if filepath.exists():
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break
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file_contents = open(filepath, 'r', encoding='utf-8').read()
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@ -369,19 +364,21 @@ def load_character(character, name1, name2):
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if 'context' in data:
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context = f"{data['context'].strip()}\n\n"
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greeting_field = 'greeting'
|
||||
else:
|
||||
elif "char_persona" in data:
|
||||
context = build_pygmalion_style_context(data)
|
||||
greeting_field = 'char_greeting'
|
||||
|
||||
if 'example_dialogue' in data and data['example_dialogue'] != '':
|
||||
if 'example_dialogue' in data:
|
||||
context += f"{data['example_dialogue'].strip()}\n"
|
||||
if greeting_field in data and len(data[greeting_field].strip()) > 0:
|
||||
if greeting_field in data:
|
||||
greeting = data[greeting_field]
|
||||
if 'end_of_turn' in data:
|
||||
end_of_turn = data['end_of_turn']
|
||||
else:
|
||||
context = shared.settings['context']
|
||||
name2 = shared.settings['name2']
|
||||
greeting = shared.settings['greeting']
|
||||
end_of_turn = shared.settings['end_of_turn']
|
||||
|
||||
if Path(f'logs/{shared.character}_persistent.json').exists():
|
||||
load_history(open(Path(f'logs/{shared.character}_persistent.json'), 'rb').read(), name1, name2)
|
||||
@ -389,10 +386,7 @@ def load_character(character, name1, name2):
|
||||
shared.history['internal'] += [['<|BEGIN-VISIBLE-CHAT|>', greeting]]
|
||||
shared.history['visible'] += [['', apply_extensions(greeting, "output")]]
|
||||
|
||||
if shared.args.cai_chat:
|
||||
return name1, name2, picture, greeting, context, generate_chat_html(shared.history['visible'], name1, name2, reset_cache=True)
|
||||
else:
|
||||
return name1, name2, picture, greeting, context, shared.history['visible']
|
||||
return name1, name2, picture, greeting, context, end_of_turn, chat_html_wrapper(shared.history['visible'], name1, name2, reset_cache=True)
|
||||
|
||||
def load_default_history(name1, name2):
|
||||
load_character("None", name1, name2)
|
||||
@ -423,7 +417,7 @@ def upload_tavern_character(img, name1, name2):
|
||||
_json = {"char_name": _json['name'], "char_persona": _json['description'], "char_greeting": _json["first_mes"], "example_dialogue": _json['mes_example'], "world_scenario": _json['scenario']}
|
||||
return upload_character(json.dumps(_json), img, tavern=True)
|
||||
|
||||
def upload_your_profile_picture(img, name1, name2):
|
||||
def upload_your_profile_picture(img, name1, name2, mode):
|
||||
cache_folder = Path("cache")
|
||||
if not cache_folder.exists():
|
||||
cache_folder.mkdir()
|
||||
@ -436,7 +430,4 @@ def upload_your_profile_picture(img, name1, name2):
|
||||
img.save(Path('cache/pfp_me.png'))
|
||||
print('Profile picture saved to "cache/pfp_me.png"')
|
||||
|
||||
if shared.args.cai_chat:
|
||||
return generate_chat_html(shared.history['visible'], name1, name2, reset_cache=True)
|
||||
else:
|
||||
return shared.history['visible']
|
||||
return chat_html_wrapper(shared.history['visible'], name1, name2, mode, reset_cache=True)
|
||||
|
||||
@ -21,6 +21,8 @@ with open(Path(__file__).resolve().parent / '../css/html_4chan_style.css', 'r')
|
||||
_4chan_css = css_f.read()
|
||||
with open(Path(__file__).resolve().parent / '../css/html_cai_style.css', 'r') as f:
|
||||
cai_css = f.read()
|
||||
with open(Path(__file__).resolve().parent / '../css/html_instruct_style.css', 'r') as f:
|
||||
instruct_css = f.read()
|
||||
|
||||
def fix_newlines(string):
|
||||
string = string.replace('\n', '\n\n')
|
||||
@ -117,7 +119,39 @@ def get_image_cache(path):
|
||||
|
||||
return image_cache[path][1]
|
||||
|
||||
def generate_chat_html(history, name1, name2, reset_cache=False):
|
||||
def generate_instruct_html(history):
|
||||
output = f'<style>{instruct_css}</style><div class="chat" id="chat">'
|
||||
for i,_row in enumerate(history[::-1]):
|
||||
row = [convert_to_markdown(entry) for entry in _row]
|
||||
|
||||
output += f"""
|
||||
<div class="assistant-message">
|
||||
<div class="text">
|
||||
<div class="message-body">
|
||||
{row[1]}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
"""
|
||||
|
||||
if len(row[0]) == 0: # don't display empty user messages
|
||||
continue
|
||||
|
||||
output += f"""
|
||||
<div class="user-message">
|
||||
<div class="text">
|
||||
<div class="message-body">
|
||||
{row[0]}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
"""
|
||||
|
||||
output += "</div>"
|
||||
|
||||
return output
|
||||
|
||||
def generate_cai_chat_html(history, name1, name2, reset_cache=False):
|
||||
output = f'<style>{cai_css}</style><div class="chat" id="chat">'
|
||||
|
||||
# The time.time() is to prevent the brower from caching the image
|
||||
@ -165,3 +199,17 @@ def generate_chat_html(history, name1, name2, reset_cache=False):
|
||||
|
||||
output += "</div>"
|
||||
return output
|
||||
|
||||
def generate_chat_html(history, name1, name2):
|
||||
return generate_cai_chat_html(history, name1, name2)
|
||||
|
||||
def chat_html_wrapper(history, name1, name2, mode="cai-chat", reset_cache=False):
|
||||
|
||||
if mode == "cai-chat":
|
||||
return generate_cai_chat_html(history, name1, name2, reset_cache)
|
||||
elif mode == "chat":
|
||||
return generate_chat_html(history, name1, name2)
|
||||
elif mode == "instruct":
|
||||
return generate_instruct_html(history)
|
||||
else:
|
||||
return ''
|
||||
|
||||
@ -33,6 +33,7 @@ settings = {
|
||||
'name2': 'Assistant',
|
||||
'context': 'This is a conversation with your Assistant. The Assistant is very helpful and is eager to chat with you and answer your questions.',
|
||||
'greeting': 'Hello there!',
|
||||
'end_of_turn': '',
|
||||
'stop_at_newline': False,
|
||||
'chat_prompt_size': 2048,
|
||||
'chat_prompt_size_min': 0,
|
||||
@ -73,8 +74,8 @@ parser = argparse.ArgumentParser(formatter_class=lambda prog: argparse.HelpForma
|
||||
|
||||
# Basic settings
|
||||
parser.add_argument('--notebook', action='store_true', help='Launch the web UI in notebook mode, where the output is written to the same text box as the input.')
|
||||
parser.add_argument('--chat', action='store_true', help='Launch the web UI in chat mode.')
|
||||
parser.add_argument('--cai-chat', action='store_true', help='Launch the web UI in chat mode with a style similar to the Character.AI website.')
|
||||
parser.add_argument('--chat', action='store_true', help='Launch the web UI in chat mode with a style similar to the Character.AI website.')
|
||||
parser.add_argument('--cai-chat', action='store_true', help='DEPRECATED: use --chat instead.')
|
||||
parser.add_argument('--model', type=str, help='Name of the model to load by default.')
|
||||
parser.add_argument('--lora', type=str, help='Name of the LoRA to apply to the model by default.')
|
||||
parser.add_argument("--model-dir", type=str, default='models/', help="Path to directory with all the models")
|
||||
@ -131,12 +132,17 @@ parser.add_argument("--gradio-auth-path", type=str, help='Set the gradio authent
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
# Provisional, this will be deleted later
|
||||
# Deprecation warnings for parameters that have been renamed
|
||||
deprecated_dict = {'gptq_bits': ['wbits', 0], 'gptq_model_type': ['model_type', None], 'gptq_pre_layer': ['prelayer', 0]}
|
||||
for k in deprecated_dict:
|
||||
if eval(f"args.{k}") != deprecated_dict[k][1]:
|
||||
print(f"Warning: --{k} is deprecated and will be removed. Use --{deprecated_dict[k][0]} instead.")
|
||||
exec(f"args.{deprecated_dict[k][0]} = args.{k}")
|
||||
|
||||
# Deprecation warnings for parameters that have been removed
|
||||
if args.cai_chat:
|
||||
print("Warning: --cai-chat is deprecated. Use --chat instead.")
|
||||
args.chat = True
|
||||
|
||||
def is_chat():
|
||||
return any((args.chat, args.cai_chat))
|
||||
return args.chat
|
||||
|
||||
49
server.py
49
server.py
@ -12,7 +12,7 @@ from PIL import Image
|
||||
|
||||
import modules.extensions as extensions_module
|
||||
from modules import chat, shared, training, ui
|
||||
from modules.html_generator import generate_chat_html
|
||||
from modules.html_generator import chat_html_wrapper
|
||||
from modules.LoRA import add_lora_to_model
|
||||
from modules.models import load_model, load_soft_prompt
|
||||
from modules.text_generation import (clear_torch_cache, generate_reply,
|
||||
@ -48,6 +48,10 @@ def get_available_prompts():
|
||||
|
||||
def get_available_characters():
|
||||
paths = (x for x in Path('characters').iterdir() if x.suffix in ('.json', '.yaml', '.yml'))
|
||||
return ['None'] + sorted(set((k.stem for k in paths if k.stem != "instruction-following")), key=str.lower)
|
||||
|
||||
def get_available_instruction_templates():
|
||||
paths = (x for x in Path('characters/instruction-following').iterdir() if x.suffix in ('.json', '.yaml', '.yml'))
|
||||
return ['None'] + sorted(set((k.stem for k in paths)), key=str.lower)
|
||||
|
||||
def get_available_extensions():
|
||||
@ -296,10 +300,7 @@ def create_interface():
|
||||
if shared.is_chat():
|
||||
shared.gradio['Chat input'] = gr.State()
|
||||
with gr.Tab("Text generation", elem_id="main"):
|
||||
if shared.args.cai_chat:
|
||||
shared.gradio['display'] = gr.HTML(value=generate_chat_html(shared.history['visible'], shared.settings['name1'], shared.settings['name2']))
|
||||
else:
|
||||
shared.gradio['display'] = gr.Chatbot(value=shared.history['visible'], elem_id="gradio-chatbot")
|
||||
shared.gradio['display'] = gr.HTML(value=chat_html_wrapper(shared.history['visible'], shared.settings['name1'], shared.settings['name2']))
|
||||
shared.gradio['textbox'] = gr.Textbox(label='Input')
|
||||
with gr.Row():
|
||||
shared.gradio['Generate'] = gr.Button('Generate')
|
||||
@ -316,13 +317,17 @@ 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["Instruction templates"] = gr.Dropdown(choices=get_available_instruction_templates(), label="Instruction template", value="None", visible=False)
|
||||
|
||||
with gr.Tab("Character", elem_id="chat-settings"):
|
||||
with gr.Row():
|
||||
with gr.Column(scale=8):
|
||||
shared.gradio['name1'] = gr.Textbox(value=shared.settings['name1'], lines=1, label='Your name')
|
||||
shared.gradio['name2'] = gr.Textbox(value=shared.settings['name2'], lines=1, label='Character\'s name')
|
||||
shared.gradio['greeting'] = gr.Textbox(value=shared.settings['greeting'], lines=2, label='Greeting')
|
||||
shared.gradio['context'] = gr.Textbox(value=shared.settings['context'], lines=8, label='Context')
|
||||
shared.gradio['greeting'] = gr.Textbox(value=shared.settings['greeting'], lines=4, label='Greeting')
|
||||
shared.gradio['context'] = gr.Textbox(value=shared.settings['context'], lines=4, label='Context')
|
||||
shared.gradio['end_of_turn'] = gr.Textbox(value=shared.settings["end_of_turn"], lines=1, label='End of turn string')
|
||||
with gr.Column(scale=1):
|
||||
shared.gradio['character_picture'] = gr.Image(label='Character picture', type="pil")
|
||||
shared.gradio['your_picture'] = gr.Image(label='Your picture', type="pil", value=Image.open(Path("cache/pfp_me.png")) if Path("cache/pfp_me.png").exists() else None)
|
||||
@ -367,31 +372,31 @@ def create_interface():
|
||||
|
||||
create_settings_menus(default_preset)
|
||||
|
||||
function_call = 'chat.cai_chatbot_wrapper' if shared.args.cai_chat else 'chat.chatbot_wrapper'
|
||||
shared.input_params = [shared.gradio[k] for k in ['Chat input', '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', 'seed', 'name1', 'name2', 'context', 'check', 'chat_prompt_size_slider', 'chat_generation_attempts']]
|
||||
shared.input_params = [shared.gradio[k] for k in ['Chat input', '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', 'seed', 'name1', 'name2', 'context', 'check', 'chat_prompt_size_slider', 'chat_generation_attempts', 'Chat mode', 'end_of_turn']]
|
||||
|
||||
def set_chat_input(textbox):
|
||||
return textbox, ""
|
||||
|
||||
gen_events.append(shared.gradio['Generate'].click(set_chat_input, shared.gradio['textbox'], [shared.gradio['Chat input'], shared.gradio['textbox']], show_progress=False))
|
||||
gen_events.append(shared.gradio['Generate'].click(eval(function_call), shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream))
|
||||
gen_events.append(shared.gradio['Generate'].click(chat.cai_chatbot_wrapper, shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream))
|
||||
gen_events.append(shared.gradio['textbox'].submit(set_chat_input, shared.gradio['textbox'], [shared.gradio['Chat input'], shared.gradio['textbox']], show_progress=False))
|
||||
gen_events.append(shared.gradio['textbox'].submit(eval(function_call), shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream))
|
||||
gen_events.append(shared.gradio['textbox'].submit(chat.cai_chatbot_wrapper, shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream))
|
||||
gen_events.append(shared.gradio['Regenerate'].click(chat.regenerate_wrapper, shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream))
|
||||
gen_events.append(shared.gradio['Impersonate'].click(chat.impersonate_wrapper, shared.input_params, shared.gradio['textbox'], show_progress=shared.args.no_stream))
|
||||
shared.gradio['Stop'].click(stop_everything_event, [], [], queue=False, cancels=gen_events if shared.args.no_stream else None)
|
||||
|
||||
shared.gradio['Copy last reply'].click(chat.send_last_reply_to_input, [], shared.gradio['textbox'], show_progress=shared.args.no_stream)
|
||||
shared.gradio['Replace last reply'].click(chat.replace_last_reply, [shared.gradio['textbox'], shared.gradio['name1'], shared.gradio['name2']], shared.gradio['display'], 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)
|
||||
|
||||
# Clear history with confirmation
|
||||
clear_arr = [shared.gradio[k] for k in ['Clear history-confirm', 'Clear history', 'Clear history-cancel']]
|
||||
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-confirm'].click(lambda :[gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)], None, clear_arr)
|
||||
shared.gradio['Clear history-confirm'].click(chat.clear_chat_log, [shared.gradio['name1'], shared.gradio['name2'], shared.gradio['greeting']], shared.gradio['display'])
|
||||
shared.gradio['Clear history-confirm'].click(chat.clear_chat_log, [shared.gradio[k] for k in ['name1', 'name2', 'greeting', 'Chat mode']], shared.gradio['display'])
|
||||
shared.gradio['Clear history-cancel'].click(lambda :[gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)], None, clear_arr)
|
||||
shared.gradio['Chat mode'].change(lambda x : gr.update(visible= x=='instruct'), shared.gradio['Chat mode'], shared.gradio['Instruction templates'])
|
||||
|
||||
shared.gradio['Remove last'].click(chat.remove_last_message, [shared.gradio['name1'], shared.gradio['name2']], [shared.gradio['display'], shared.gradio['textbox']], show_progress=False)
|
||||
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(chat.save_history, inputs=[], outputs=[shared.gradio['download']])
|
||||
shared.gradio['Upload character'].click(chat.upload_character, [shared.gradio['upload_json'], shared.gradio['upload_img_bot']], [shared.gradio['character_menu']])
|
||||
|
||||
@ -404,18 +409,20 @@ def create_interface():
|
||||
shared.gradio['textbox'].submit(lambda : chat.save_history(timestamp=False), [], [], show_progress=False)
|
||||
|
||||
shared.gradio['character_menu'].change(chat.load_character, [shared.gradio[k] for k in ['character_menu', 'name1', 'name2']], [shared.gradio[k] for k in ['name1', 'name2', 'character_picture', 'greeting', 'context', 'display']])
|
||||
shared.gradio['upload_chat_history'].upload(chat.load_history, [shared.gradio['upload_chat_history'], shared.gradio['name1'], shared.gradio['name2']], [])
|
||||
shared.gradio['Instruction templates'].change(lambda character, name1, name2: chat.load_character(character, name1, name2, instruct=True), [shared.gradio[k] for k in ['Instruction templates', 'name1', 'name2']], [shared.gradio[k] for k in ['name1', 'name2', 'character_picture', 'greeting', 'context', 'end_of_turn', 'display']])
|
||||
shared.gradio['upload_chat_history'].upload(chat.load_history, [shared.gradio[k] for k in ['upload_chat_history', 'name1', 'name2']], [])
|
||||
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']], shared.gradio['display'])
|
||||
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'])
|
||||
|
||||
reload_func = chat.redraw_html if shared.args.cai_chat else lambda : shared.history['visible']
|
||||
reload_inputs = [shared.gradio['name1'], shared.gradio['name2']] if shared.args.cai_chat else []
|
||||
shared.gradio['upload_chat_history'].upload(reload_func, reload_inputs, [shared.gradio['display']])
|
||||
shared.gradio['Stop'].click(reload_func, reload_inputs, [shared.gradio['display']])
|
||||
reload_inputs = [shared.gradio[k] for k in ['name1', 'name2', 'Chat mode']]
|
||||
shared.gradio['upload_chat_history'].upload(chat.redraw_html, reload_inputs, [shared.gradio['display']])
|
||||
shared.gradio['Stop'].click(chat.redraw_html, reload_inputs, [shared.gradio['display']])
|
||||
shared.gradio['Instruction templates'].change(chat.redraw_html, reload_inputs, [shared.gradio['display']])
|
||||
shared.gradio['Chat mode'].change(chat.redraw_html, reload_inputs, [shared.gradio['display']])
|
||||
|
||||
shared.gradio['interface'].load(None, None, None, _js=f"() => {{{ui.main_js+ui.chat_js}}}")
|
||||
shared.gradio['interface'].load(lambda : chat.load_default_history(shared.settings['name1'], shared.settings['name2']), None, None)
|
||||
shared.gradio['interface'].load(reload_func, reload_inputs, [shared.gradio['display']], show_progress=True)
|
||||
shared.gradio['interface'].load(chat.redraw_html, reload_inputs, [shared.gradio['display']], show_progress=True)
|
||||
|
||||
elif shared.args.notebook:
|
||||
with gr.Tab("Text generation", elem_id="main"):
|
||||
|
||||
Loading…
Reference in New Issue
Block a user