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fix for world info box resizing

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ebolam
2022-10-07 18:52:44 -04:00
parent 140d3546df
commit 3f309c390f
2 changed files with 16 additions and 9 deletions
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23
aiserver.py
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@@ -8992,7 +8992,7 @@ def get_items_locations_from_text(text):
#==================================================================# #==================================================================#
# summarizer # summarizer
#==================================================================# #==================================================================#
def summarize(text, max_length=100, min_length=30): def summarize(text, max_length=100, min_length=30, unload=True):
from transformers import pipeline as summary_pipeline from transformers import pipeline as summary_pipeline
start_time = time.time() start_time = time.time()
if koboldai_vars.summarizer is None: if koboldai_vars.summarizer is None:
@@ -9028,11 +9028,12 @@ def summarize(text, max_length=100, min_length=30):
#move model back to CPU to save precious vram #move model back to CPU to save precious vram
torch.cuda.empty_cache() torch.cuda.empty_cache()
logger.debug("VRAM used by summarization: {}".format(torch.cuda.memory_reserved(0))) logger.debug("VRAM used by summarization: {}".format(torch.cuda.memory_reserved(0)))
koboldai_vars.summarizer.to("cpu") if unload:
koboldai_vars.summarizer.to("cpu")
torch.cuda.empty_cache() torch.cuda.empty_cache()
logger.debug("Original Text: {}".format(text)) #logger.debug("Original Text: {}".format(text))
logger.debug("Summarized Text: {}".format(output)) #logger.debug("Summarized Text: {}".format(output))
return output return output
@@ -9044,12 +9045,15 @@ def summarize(text, max_length=100, min_length=30):
def UI_2_refresh_auto_memory(data): def UI_2_refresh_auto_memory(data):
koboldai_vars.auto_memory = "Generating..." koboldai_vars.auto_memory = "Generating..."
if koboldai_vars.summary_tokenizer is None: if koboldai_vars.summary_tokenizer is None:
koboldai_vars.summary_tokenizer = AutoTokenizer.from_pretrained("models/{}".format(args.summarizer_model.replace('/', '_')), cache_dir="cache") if os.path.exists("models/{}".format(args.summarizer_model.replace('/', '_'))):
koboldai_vars.summary_tokenizer = AutoTokenizer.from_pretrained("models/{}".format(args.summarizer_model.replace('/', '_')), cache_dir="cache")
else:
koboldai_vars.summary_tokenizer = AutoTokenizer.from_pretrained(args.summarizer_model, cache_dir="cache")
#first, let's get all of our game text and split it into sentences #first, let's get all of our game text and split it into sentences
sentences = [x[0] for x in koboldai_vars.actions.to_sentences()] sentences = [x[0] for x in koboldai_vars.actions.to_sentences()]
sentences_lengths = [len(koboldai_vars.summary_tokenizer.encode(x)) for x in sentences] sentences_lengths = [len(koboldai_vars.summary_tokenizer.encode(x)) for x in sentences]
pass_number = 1
while len(koboldai_vars.summary_tokenizer.encode("".join(sentences))) > 1000: while len(koboldai_vars.summary_tokenizer.encode("".join(sentences))) > 1000:
#Now let's split them into 1000 token chunks #Now let's split them into 1000 token chunks
summary_chunks = [""] summary_chunks = [""]
@@ -9065,11 +9069,12 @@ def UI_2_refresh_auto_memory(data):
i=0 i=0
for summary_chunk in summary_chunks: for summary_chunk in summary_chunks:
logger.debug("summarizing chunk {}".format(i)) logger.debug("summarizing chunk {}".format(i))
new_sentences.extend(re.split("(?<=[.!?])\s+", summarize(summary_chunk))) new_sentences.extend(re.split("(?<=[.!?])\s+", summarize(summary_chunk, unload=False)))
i+=1 i+=1
logger.debug("Summarized to {} sentencees from {}".format(len(new_sentences), len(sentences))) logger.debug("Pass {}:\nSummarized to {} sentencees from {}".format(pass_number, len(new_sentences), len(sentences)))
sentences = new_sentences sentences = new_sentences
koboldai_vars.auto_memory = "\n".join(sentences) koboldai_vars.auto_memory += "Pass {}:\n{}\n\n".format(pass_number, "\n".join(sentences))
pass_number+=1
logger.debug("OK, doing final summarization") logger.debug("OK, doing final summarization")
output = summarize(" ".join(sentences)) output = summarize(" ".join(sentences))
koboldai_vars.auto_memory += "\n\n Final Result:\n" + output koboldai_vars.auto_memory += "\n\n Final Result:\n" + output

2
static/koboldai.js
View File

@@ -1785,6 +1785,7 @@ function world_info_entry(data) {
send_world_info(this.getAttribute('uid')); send_world_info(this.getAttribute('uid'));
this.classList.add("pulse"); this.classList.add("pulse");
} }
manual_text.dispatchEvent(new Event('input', {bubbles:true}));
comment = world_info_card.querySelector('#world_info_comment_'); comment = world_info_card.querySelector('#world_info_comment_');
comment.id = "world_info_comment_"+data.uid; comment.id = "world_info_comment_"+data.uid;
comment.setAttribute("uid", data.uid); comment.setAttribute("uid", data.uid);
@@ -1794,6 +1795,7 @@ function world_info_entry(data) {
send_world_info(this.getAttribute('uid')); send_world_info(this.getAttribute('uid'));
this.classList.add("pulse"); this.classList.add("pulse");
} }
comment.dispatchEvent(new Event('input', {bubbles:true}));
constant_area = world_info_card.querySelector('#world_info_toggle_area_'); constant_area = world_info_card.querySelector('#world_info_toggle_area_');
constant_area.id = "world_info_toggle_area_"+data.uid; constant_area.id = "world_info_toggle_area_"+data.uid;
constant = document.createElement("input"); constant = document.createElement("input");