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Fix for world info highlighting

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This commit is contained in:
ebolam
2022-09-20 09:21:57 -04:00
parent 0df594f0e5
commit fd695977c6
8 changed files with 148 additions and 132 deletions
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42
aiserver.py
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@@ -8180,7 +8180,7 @@ def UI_2_generate_image(data):
#If we have > 4 keys, use those otherwise use sumarization
if len(keys) < 4:
from transformers import pipeline as summary_pipeline
summarizer = summary_pipeline("summarization")
summarizer = summary_pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
#text to summarize:
if len(koboldai_vars.actions) < 5:
text = "".join(koboldai_vars.actions[:-5]+[koboldai_vars.prompt])
@@ -8191,18 +8191,54 @@ def UI_2_generate_image(data):
transformers.generation_utils.GenerationMixin._get_stopping_criteria = old_transfomers_functions['transformers.generation_utils.GenerationMixin._get_stopping_criteria']
keys = [summarizer(text, max_length=100, min_length=30, do_sample=False)[0]['summary_text']]
transformers.generation_utils.GenerationMixin._get_stopping_criteria = temp
del summarizer
art_guide = 'fantasy illustration, artstation, by jason felix by steve argyle by tyler jacobson by peter mohrbacher, cinematic lighting',
#If we don't have a GPU, use horde
if not koboldai_vars.hascuda:
b64_data = text2img(", ".join(keys), art_guide = art_guide)
emit("Action_Image", {'b64': b64_data, 'prompt': ", ".join(keys)})
else:
if torch.cuda.get_device_properties(0).total_memory - torch.cuda.memory_reserved(0) >= 6000000000:
#He have enough vram, just do it locally
b64_data = text2img_local(", ".join(keys), art_guide = art_guide)
elif torch.cuda.get_device_properties(0).total_memory > 6000000000:
#We could do it locally by swapping the model out
print("Could do local or online")
else:
b64_data = text2img_local(", ".join(keys), art_guide = art_guide)
koboldai_vars.picture = b64_data
koboldai_vars.picture_prompt = ", ".join(keys)
#emit("Action_Image", {'b64': b64_data, 'prompt': ", ".join(keys)})
@logger.catch
def text2img_local(prompt, art_guide="", filename="new.png"):
start_time = time.time()
print("Generating Image")
koboldai_vars.generating_image = True
from diffusers import StableDiffusionPipeline
import base64
from io import BytesIO
pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16", torch_dtype=torch.float16, cache="./stable-diffusion-v1-4").to("cuda")
print("time to load: {}".format(time.time() - start_time))
from torch import autocast
with autocast("cuda"):
image = pipe(prompt)["sample"][0]
buffered = BytesIO()
image.save(buffered, format="JPEG")
img_str = base64.b64encode(buffered.getvalue()).decode('ascii')
print("time to generate: {}".format(time.time() - start_time))
pipe.to("cpu")
koboldai_vars.generating_image = False
print("time to unload: {}".format(time.time() - start_time))
return img_str
@logger.catch
def text2img(prompt,
art_guide = 'fantasy illustration, artstation, by jason felix by steve argyle by tyler jacobson by peter mohrbacher, cinematic lighting',
filename = "story_art.png"):
print("Generating Image")
print("Generating Image using Horde")
koboldai_vars.generating_image = True
final_imgen_params = {
"n": 1,

1
environments/huggingface.yml
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@@ -21,6 +21,7 @@ dependencies:
- apispec-webframeworks
- loguru
- Pillow
- diffusers
- pip:
- flask-cloudflared
- flask-ngrok

1
environments/rocm.yml
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@@ -18,6 +18,7 @@ dependencies:
- apispec-webframeworks
- loguru
- Pillow
- diffusers
- pip:
- --find-links https://download.pytorch.org/whl/rocm4.2/torch_stable.html
- torch==1.10.*

2
koboldai_settings.py
View File

@@ -576,6 +576,8 @@ class story_settings(settings):
self.context = []
self.last_story_load = None
self.revisions = []
self.picture = "" #base64 of the image shown for the story
self.picture_prompt = "" #Prompt used to create picture
#must be at bottom
self.no_save = False #Temporary disable save (doesn't save with the file)

1
requirements.txt
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@@ -17,3 +17,4 @@ marshmallow>=3.13
apispec-webframeworks
loguru
Pillow
diffusers

1
requirements_mtj.txt
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@@ -21,3 +21,4 @@ marshmallow>=3.13
apispec-webframeworks
loguru
Pillow
diffusers

4
static/koboldai.css
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@@ -2205,6 +2205,10 @@ button.disabled {
font-style: italic;
}
.wi_match {
font-style: italic;
}
.within_max_length {
color: var(--text_to_ai_color);
font-weight: bold;

148
static/koboldai.js
View File

@@ -29,7 +29,6 @@ socket.on('load_cookies', function(data){load_cookies(data)});
socket.on('load_tweaks', function(data){load_tweaks(data);});
socket.on("wi_results", updateWISearchListings);
socket.on("request_prompt_config", configurePrompt);
socket.on("Action_Image", function(data){Action_Image(data);});
//socket.onAny(function(event_name, data) {console.log({"event": event_name, "class": data.classname, "data": data});});
var presets = {};
@@ -520,6 +519,22 @@ function var_changed(data) {
} else {
button.childNodes[1].textContent = "Story";
}
//Special Case for story picture
} else if (data.classname == "story" && data.name == "picture") {
image_area = document.getElementById("action image");
while (image_area.firstChild) {
image_area.removeChild(image_area.firstChild);
}
if (data.value != "") {
var image = new Image();
image.src = 'data:image/png;base64,'+data.value;
image.classList.add("action_image");
image_area.appendChild(image);
}
} else if (data.classname == "story" && data.name == "picture_prompt") {
if (document.getElementById("action image").firstChild) {
document.getElementById("action image").firstChild.setAttribute("title", data.value);
}
//Basic Data Syncing
} else {
var elements_to_change = document.getElementsByClassName("var_sync_"+data.classname.replace(" ", "_")+"_"+data.name.replace(" ", "_"));
@@ -1959,18 +1974,6 @@ function load_cookies(data) {
}
}
function Action_Image(data) {
var image = new Image();
image.src = 'data:image/png;base64,'+data['b64'];
image.setAttribute("title", data['prompt']);
image.classList.add("action_image");
image_area = document.getElementById("action image");
while (image_area.firstChild) {
image_area.removeChild(image_area.firstChild);
}
image_area.appendChild(image);
}
//--------------------------------------------UI to Server Functions----------------------------------
function unload_userscripts() {
files_to_unload = document.getElementById('loaded_userscripts');
@@ -2877,9 +2880,8 @@ function assign_world_info_to_action(action_item, uid) {
for (action of actions) {
//First check to see if we have a key in the text
var words = action.textContent.split(" ");
for (const [key, worldinfo] of Object.entries(worldinfo_to_check)) {
//remove any world info tags
//remove any world info tags on the overall chunk
for (tag of action.getElementsByClassName("tag_uid_"+uid)) {
tag.classList.remove("tag_uid_"+uid);
tag.removeAttribute("title");
@@ -2893,75 +2895,49 @@ function assign_world_info_to_action(action_item, uid) {
if (worldinfo['keysecondary'].length > 0) {
for (second_key of worldinfo['keysecondary']) {
if (action.textContent.replace(/[^0-9a-z \'\"]/gi, '').includes(second_key)) {
//First let's assign our world info id to the action so we know to count the tokens for the world info
current_ids = action.getAttribute("world_info_uids")?action.getAttribute("world_info_uids").split(','):[];
if (!(current_ids.includes(uid))) {
current_ids.push(uid);
}
action.setAttribute("world_info_uids", current_ids.join(","));
//OK we have the phrase in our action. Let's see if we can identify the word(s) that are triggering
for (var i = 0; i < words.length; i++) {
key_words = keyword.split(" ").length;
var to_check = words.slice(i, i+key_words).join("").replace(/[^0-9a-z \'\"]/gi, '').trim();
if (keyword == to_check) {
var start_word = i;
var end_word = i+len_of_keyword;
var passed_words = 0;
for (span of action.childNodes) {
if (passed_words + span.textContent.split(" ").length < start_word) {
passed_words += span.textContent.trim().split(" ").length;
} else if (passed_words < end_word) {
//OK, we have text that matches, let's do the highlighting
//we can skip the highlighting if it's already done though
if (span.tagName != "I") {
var span_text = span.textContent.trim().split(" ");
var before_highlight_text = span_text.slice(0, start_word-passed_words).join(" ")+" ";
var highlight_text = span_text.slice(start_word-passed_words, end_word-passed_words).join(" ");
if (end_word-passed_words <= span_text.length) {
highlight_text += " ";
}
var after_highlight_text = span_text.slice((end_word-passed_words)).join(" ");
//console.log(span.textContent);
//console.log(keyword);
//console.log(before_highlight_text);
//console.log(highlight_text);
//console.log(after_highlight_text);
//console.log("passed: "+passed_words+" start:" + start_word + " end: "+end_word+" continue: "+(end_word-passed_words));
//console.log(null);
var before_span = document.createElement("span");
before_span.textContent = before_highlight_text;
var hightlight_span = document.createElement("span");
hightlight_span.classList.add("italics");
hightlight_span.textContent = highlight_text;
hightlight_span.title = worldinfo['content'];
var after_span = document.createElement("span");
after_span.textContent = after_highlight_text;
action.insertBefore(before_span, span);
action.insertBefore(hightlight_span, span);
action.insertBefore(after_span, span);
span.remove();
}
passed_words += span.textContent.trim().split(" ").length;
}
}
}
}
highlight_world_info_text_in_chunk(action, worldinfo);
break;
}
}
} else {
highlight_world_info_text_in_chunk(action, worldinfo);
break;
}
}
}
}
}
}
}
function highlight_world_info_text_in_chunk(action, wi) {
//First let's assign our world info id to the action so we know to count the tokens for the world info
let uid = wi['uid'];
let words = action.textContent.split(" ");
current_ids = action.getAttribute("world_info_uids")?action.getAttribute("world_info_uids").split(','):[];
if (!(current_ids.includes(uid))) {
current_ids.push(uid);
}
action.setAttribute("world_info_uids", current_ids.join(","));
//OK we have the phrase in our action. Let's see if we can identify the word(s) that are triggering
var len_of_keyword = keyword.split(" ").length;
//OK we have the phrase in our action.
//First let's find the largest key that matches
let largest_key = "";
for (keyword of wi['key']) {
if ((keyword.length > largest_key.length) && (action.textContent.replace(/[^0-9a-z \'\"]/gi, '').includes(keyword))) {
largest_key = keyword;
}
}
//console.log(largest_key);
//Let's see if we can identify the word(s) that are triggering
var len_of_keyword = largest_key.split(" ").length;
//go through each word to see where we get a match
for (var i = 0; i < words.length; i++) {
//get the words from the ith word to the i+len_of_keyword. Get rid of non-letters/numbers/'/"
var to_check = words.slice(i, i+len_of_keyword).join(" ").replace(/[^0-9a-z \'\"]/gi, '').trim();
if (keyword == to_check) {
if (largest_key == to_check) {
var start_word = i;
var end_word = i+len_of_keyword;
var passed_words = 0;
@@ -2971,7 +2947,7 @@ function assign_world_info_to_action(action_item, uid) {
} else if (passed_words < end_word) {
//OK, we have text that matches, let's do the highlighting
//we can skip the highlighting if it's already done though
if (span.tagName != "I") {
if (~(span.classList.contains('wi_match'))) {
var span_text = span.textContent.trim().split(" ");
var before_highlight_text = span_text.slice(0, start_word-passed_words).join(" ")+" ";
var highlight_text = span_text.slice(start_word-passed_words, end_word-passed_words).join(" ");
@@ -2982,24 +2958,25 @@ function assign_world_info_to_action(action_item, uid) {
if (after_highlight_text[0] == ' ') {
after_highlight_text = after_highlight_text.substring(1);
}
//console.log("'"+span.textContent+"'");
//console.log(keyword);
if (before_highlight_text != "") {
//console.log("'"+before_highlight_text+"'");
//console.log("'"+highlight_text+"'");
//console.log("'"+after_highlight_text+"'");
//console.log("passed: "+passed_words+" start:" + start_word + " end: "+end_word+" continue: "+(end_word-passed_words));
//console.log(null);
var before_span = document.createElement("span");
before_span.textContent = before_highlight_text;
action.insertBefore(before_span, span);
}
//console.log("'"+highlight_text+"'");
var hightlight_span = document.createElement("span");
hightlight_span.classList.add("italics");
hightlight_span.classList.add("wi_match");
hightlight_span.textContent = highlight_text;
hightlight_span.title = worldinfo['content'];
hightlight_span.title = wi['content'];
action.insertBefore(hightlight_span, span);
if (after_highlight_text != "") {
//console.log("'"+after_highlight_text+"'");
var after_span = document.createElement("span");
after_span.textContent = after_highlight_text;
action.insertBefore(before_span, span);
action.insertBefore(hightlight_span, span);
action.insertBefore(after_span, span);
}
//console.log("Done");
span.remove();
}
passed_words += span.textContent.trim().split(" ").length;
@@ -3009,13 +2986,6 @@ function assign_world_info_to_action(action_item, uid) {
}
}
}
}
}
}
}
}
function update_token_lengths() {
clearTimeout(calc_token_usage_timeout);
calc_token_usage_timeout = setTimeout(calc_token_usage, 200);