mmarch/text-generation-webui
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Reorganize a bit

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oobabooga 2023-02-24 08:44:54 -03:00
parent c2f4c395b9
commit 146f786c57
1 changed files with 3 additions and 1 deletions
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4
modules/chat.py
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@ -140,11 +140,13 @@ def chatbot_wrapper(text, tokens, do_sample, max_new_tokens, temperature, top_p,
yield shared.history['visible'] yield shared.history['visible']
def impersonate_wrapper(text, tokens, do_sample, max_new_tokens, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, name1, name2, context, check, chat_prompt_size, picture=None): def impersonate_wrapper(text, tokens, do_sample, max_new_tokens, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, name1, name2, context, check, chat_prompt_size, picture=None):
eos_token = '\n' if check else None
if 'pygmalion' in shared.model_name.lower(): if 'pygmalion' in shared.model_name.lower():
name1 = "You" name1 = "You"
prompt = generate_chat_prompt(text, tokens, name1, name2, context, chat_prompt_size, impersonate=True) prompt = generate_chat_prompt(text, tokens, name1, name2, context, chat_prompt_size, impersonate=True)
eos_token = '\n' if check else None
for reply in generate_reply(prompt, tokens, do_sample, max_new_tokens, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, eos_token=eos_token, stopping_string=f"\n{name2}:"): for reply in generate_reply(prompt, tokens, do_sample, max_new_tokens, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, eos_token=eos_token, stopping_string=f"\n{name2}:"):
reply, next_character_found, substring_found = extract_message_from_reply(prompt, reply, name1, name2, check, extensions=False) reply, next_character_found, substring_found = extract_message_from_reply(prompt, reply, name1, name2, check, extensions=False)
if not substring_found: if not substring_found: