mirror of
https://github.com/ParisNeo/lollms-webui.git
synced 2025-02-20 09:16:15 +00:00
Enhanced UI
This commit is contained in:
Saifeddine ALOUI
parent
61f2d6bae4
commit
066215ae78
@ -165,13 +165,16 @@ class LoLLMsAPI(LollmsApplication):
|
||||
# This is used to keep track of messages
|
||||
self.download_infos={}
|
||||
|
||||
self.connections = {0:{
|
||||
self.connections = {
|
||||
0:{
|
||||
"current_discussion":None,
|
||||
"generated_text":"",
|
||||
"cancel_generation": False,
|
||||
"generation_thread": None,
|
||||
"processing":False,
|
||||
"schedule_for_deletion":False
|
||||
"schedule_for_deletion":False,
|
||||
"continuing": False,
|
||||
"first_chunk": True,
|
||||
}
|
||||
}
|
||||
|
||||
@ -207,7 +210,42 @@ class LoLLMsAPI(LollmsApplication):
|
||||
|
||||
ASCIIColors.error(f'Client {request.sid} disconnected')
|
||||
|
||||
|
||||
@socketio.on('upgrade_vectorization')
|
||||
def upgrade_vectorization():
|
||||
if self.config.data_vectorization_activate and self.config.use_discussions_history:
|
||||
try:
|
||||
self.socketio.emit('show_progress')
|
||||
self.socketio.sleep(0)
|
||||
ASCIIColors.yellow("0- Detected discussion vectorization request")
|
||||
folder = self.lollms_paths.personal_databases_path/"vectorized_dbs"
|
||||
folder.mkdir(parents=True, exist_ok=True)
|
||||
self.build_long_term_skills_memory()
|
||||
|
||||
ASCIIColors.yellow("1- Exporting discussions")
|
||||
discussions = self.db.export_all_as_markdown_list_for_vectorization()
|
||||
ASCIIColors.yellow("2- Adding discussions to vectorizer")
|
||||
index = 0
|
||||
nb_discussions = len(discussions)
|
||||
for (title,discussion) in tqdm(discussions):
|
||||
self.socketio.emit('update_progress',{'value':int(100*(index/nb_discussions))})
|
||||
self.socketio.sleep(0)
|
||||
index += 1
|
||||
if discussion!='':
|
||||
skill = self.learn_from_discussion(title, discussion)
|
||||
self.long_term_memory.add_document(title, skill, chunk_size=self.config.data_vectorization_chunk_size, overlap_size=self.config.data_vectorization_overlap_size, force_vectorize=False, add_as_a_bloc=False)
|
||||
ASCIIColors.yellow("3- Indexing database")
|
||||
self.long_term_memory.index()
|
||||
ASCIIColors.yellow("4- Saving database")
|
||||
self.long_term_memory.save_to_json()
|
||||
|
||||
if self.config.data_vectorization_visualize_on_vectorization:
|
||||
self.long_term_memory.show_document(show_interactive_form=True)
|
||||
ASCIIColors.yellow("Ready")
|
||||
except Exception as ex:
|
||||
ASCIIColors.error(f"Couldn't vectorize database:{ex}")
|
||||
self.socketio.emit('hide_progress')
|
||||
self.socketio.sleep(0)
|
||||
|
||||
@socketio.on('cancel_install')
|
||||
def cancel_install(data):
|
||||
try:
|
||||
@ -475,6 +513,13 @@ class LoLLMsAPI(LollmsApplication):
|
||||
def new_discussion(data):
|
||||
client_id = request.sid
|
||||
title = data["title"]
|
||||
if self.connections[client_id]["current_discussion"] is not None:
|
||||
if self.long_term_memory is not None:
|
||||
title, content = self.connections[client_id]["current_discussion"].export_for_vectorization()
|
||||
skill = self.learn_from_discussion(title, content)
|
||||
self.long_term_memory.add_document(title, skill, chunk_size=self.config.data_vectorization_chunk_size, overlap_size=self.config.data_vectorization_overlap_size, force_vectorize=False, add_as_a_bloc=False, add_to_index=True)
|
||||
ASCIIColors.yellow("4- Saving database")
|
||||
self.long_term_memory.save_to_json()
|
||||
self.connections[client_id]["current_discussion"] = self.db.create_discussion(title)
|
||||
# Get the current timestamp
|
||||
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
||||
@ -1435,10 +1480,11 @@ class LoLLMsAPI(LollmsApplication):
|
||||
|
||||
|
||||
|
||||
def notify(self, content, status=True, client_id=None):
|
||||
def notify(self, content, status=True, duration=4, client_id=None):
|
||||
self.socketio.emit('notification', {
|
||||
'content': content,# self.connections[client_id]["generated_text"],
|
||||
'status': status
|
||||
'status': status,
|
||||
"duration": duration
|
||||
}, room=client_id
|
||||
)
|
||||
|
||||
@ -1533,6 +1579,8 @@ class LoLLMsAPI(LollmsApplication):
|
||||
if msg_type != MSG_TYPE.MSG_TYPE_INFO:
|
||||
self.connections[client_id]["current_discussion"].update_message(self.connections[client_id]["generated_text"], new_metadata=mtdt, new_ui=ui)
|
||||
|
||||
|
||||
|
||||
def close_message(self, client_id):
|
||||
if not self.connections[client_id]["current_discussion"]:
|
||||
return
|
||||
|
||||
19
api/db.py
19
api/db.py
@ -778,4 +778,23 @@ class Discussion:
|
||||
# Retrieve current rank value for message_id
|
||||
self.discussions_db.delete("DELETE FROM message WHERE id=?", (message_id,))
|
||||
|
||||
def export_for_vectorization(self):
|
||||
"""
|
||||
Export all discussions and their messages from the database to a Markdown list format.
|
||||
|
||||
Returns:
|
||||
list: A list of lists representing discussions and their messages in a Markdown format.
|
||||
Each inner list contains the discussion title and a string representing all
|
||||
messages in the discussion in a Markdown format.
|
||||
"""
|
||||
# Extract the title
|
||||
title = self.title()
|
||||
messages = ""
|
||||
# Iterate through messages in the discussion
|
||||
for message in self.messages:
|
||||
sender = message.sender
|
||||
content = message.content
|
||||
# Append the sender and content in a Markdown format
|
||||
messages += f'{sender}: {content}\n'
|
||||
return title, messages
|
||||
# ========================================================================================================================
|
||||
|
||||
87
app.py
87
app.py
@ -920,45 +920,18 @@ try:
|
||||
elif setting_name == "model_name":
|
||||
ASCIIColors.yellow(f"Changing model to: {data['setting_value']}")
|
||||
self.config["model_name"]=data['setting_value']
|
||||
if self.config["model_name"] is not None:
|
||||
try:
|
||||
GG = AdvancedGarbageCollector()
|
||||
GG.safeHardCollect("model", self.binding)
|
||||
self.model = None
|
||||
self.binding.model = None
|
||||
if self.binding:
|
||||
del self.binding
|
||||
self.binding = None
|
||||
to_remove = []
|
||||
for per in self.mounted_personalities:
|
||||
if per is not None:
|
||||
per.model = None
|
||||
else:
|
||||
to_remove.append(per)
|
||||
for per in to_remove:
|
||||
self.mounted_personalities.remove(per)
|
||||
if len(self.mounted_personalities)==0:
|
||||
self.config.personalities= ["generic/lollms"]
|
||||
self.mount_personality(0)
|
||||
gc.collect()
|
||||
self.binding = BindingBuilder().build_binding(self.config, self.lollms_paths, self.notify)
|
||||
|
||||
self.model = self.binding.build_model()
|
||||
for per in self.mounted_personalities:
|
||||
if per is not None:
|
||||
per.model = self.model
|
||||
except Exception as ex:
|
||||
# Catch the exception and get the traceback as a list of strings
|
||||
traceback_lines = traceback.format_exception(type(ex), ex, ex.__traceback__)
|
||||
|
||||
# Join the traceback lines into a single string
|
||||
traceback_text = ''.join(traceback_lines)
|
||||
ASCIIColors.error(f"Couldn't load model: [{ex}]")
|
||||
ASCIIColors.error(traceback_text)
|
||||
return jsonify({ "status":False, 'error':str(ex)})
|
||||
else:
|
||||
ASCIIColors.warning("Trying to set a None model. Please select a model for the binding")
|
||||
print("update_settings : New model selected")
|
||||
self.config.save_config()
|
||||
try:
|
||||
self.model = None
|
||||
for per in self.mounted_personalities:
|
||||
per.model = None
|
||||
self.model = self.binding.build_model()
|
||||
if self.model is not None:
|
||||
ASCIIColors.yellow("New model OK")
|
||||
for per in self.mounted_personalities:
|
||||
per.model = self.model
|
||||
except Exception as ex:
|
||||
self.notify("It looks like you we couldn't load the model.\nThis can hapen when you don't have enough VRAM. Please restart the program.",False,30)
|
||||
|
||||
elif setting_name== "binding_name":
|
||||
if self.config['binding_name']!= data['setting_value']:
|
||||
@ -1013,31 +986,6 @@ try:
|
||||
self.rebuild_personalities()
|
||||
if self.config.auto_save:
|
||||
self.config.save_config()
|
||||
|
||||
if self.config.data_vectorization_activate and self.config.use_discussions_history:
|
||||
try:
|
||||
ASCIIColors.yellow("0- Detected discussion vectorization request")
|
||||
folder = self.lollms_paths.personal_databases_path/"vectorized_dbs"
|
||||
folder.mkdir(parents=True, exist_ok=True)
|
||||
self.build_long_term_skills_memory()
|
||||
|
||||
ASCIIColors.yellow("1- Exporting discussions")
|
||||
discussions = self.db.export_all_as_markdown_list_for_vectorization()
|
||||
ASCIIColors.yellow("2- Adding discussions to vectorizer")
|
||||
for (title,discussion) in tqdm(discussions):
|
||||
if discussion!='':
|
||||
skill = self.learn_from_discussion(discussion)
|
||||
self.long_term_memory.add_document(title, skill, chunk_size=self.config.data_vectorization_chunk_size, overlap_size=self.config.data_vectorization_overlap_size, force_vectorize=False, add_as_a_bloc=False)
|
||||
ASCIIColors.yellow("3- Indexing database")
|
||||
self.long_term_memory.index()
|
||||
ASCIIColors.yellow("4- Saving database")
|
||||
self.long_term_memory.save_to_json()
|
||||
|
||||
if self.config.data_vectorization_visualize_on_vectorization:
|
||||
self.long_term_memory.show_document(show_interactive_form=True)
|
||||
ASCIIColors.yellow("Ready")
|
||||
except Exception as ex:
|
||||
ASCIIColors.error(f"Couldn't vectorize database:{ex}")
|
||||
return jsonify({"status":True})
|
||||
except Exception as ex:
|
||||
trace_exception(ex)
|
||||
@ -1320,8 +1268,15 @@ try:
|
||||
discussions = self.db.export_all_as_markdown_list_for_vectorization()
|
||||
ASCIIColors.yellow("2- Adding discussions to vectorizer")
|
||||
self.notify("Adding discussions to vectorizer",True, None)
|
||||
for (title,discussion) in discussions:
|
||||
self.long_term_memory.add_document(title, discussion, chunk_size=self.config.data_vectorization_chunk_size, overlap_size=self.config.data_vectorization_overlap_size, force_vectorize=False, add_as_a_bloc=False)
|
||||
index = 0
|
||||
nb_discussions = len(discussions)
|
||||
|
||||
for (title,discussion) in tqdm(discussions):
|
||||
self.socketio.emit('update_progress',{'value':int(100*(index/nb_discussions))})
|
||||
index += 1
|
||||
if discussion!='':
|
||||
skill = self.learn_from_discussion(title, discussion)
|
||||
self.long_term_memory.add_document(title, skill, chunk_size=self.config.data_vectorization_chunk_size, overlap_size=self.config.data_vectorization_overlap_size, force_vectorize=False, add_as_a_bloc=False)
|
||||
ASCIIColors.yellow("3- Indexing database")
|
||||
self.notify("Indexing database",True, None)
|
||||
self.long_term_memory.index()
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
# =================== Lord Of Large Language Models Configuration file ===========================
|
||||
version: 28
|
||||
version: 30
|
||||
binding_name: null
|
||||
model_name: null
|
||||
|
||||
@ -59,6 +59,8 @@ audio_silenceTimer: 5000
|
||||
|
||||
# Data vectorization
|
||||
use_discussions_history: false # Activate vectorizing previous conversations
|
||||
summerize_discussion: false # activate discussion summary (better but adds computation time)
|
||||
max_summary_size: 512 # in tokens
|
||||
data_vectorization_visualize_on_vectorization: false
|
||||
use_files: true # Activate using files
|
||||
data_vectorization_activate: true # To activate/deactivate data vectorization
|
||||
|
||||
@ -1 +1 @@
|
||||
Subproject commit bae2a71fa62c4408c311770f2b98bd43f01622bc
|
||||
Subproject commit dc0c6a69b41d37c683528e12ff8f4c7bfb29b666
|
||||
@ -1 +1 @@
|
||||
Subproject commit 5f17e5f9c3c0d352f992408edfb23990c2afc59b
|
||||
Subproject commit 425f7614df835e6bb9d01e8be1ea45593beb9b3a
|
||||
8
web/dist/assets/index-29ecfd0d.css
vendored
8
web/dist/assets/index-29ecfd0d.css
vendored
File diff suppressed because one or more lines are too long
8
web/dist/assets/index-2b89acea.css
vendored
Normal file
8
web/dist/assets/index-2b89acea.css
vendored
Normal file
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
4
web/dist/index.html
vendored
4
web/dist/index.html
vendored
@ -6,8 +6,8 @@
|
||||
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>LoLLMS WebUI - Welcome</title>
|
||||
<script type="module" crossorigin src="/assets/index-57514158.js"></script>
|
||||
<link rel="stylesheet" href="/assets/index-29ecfd0d.css">
|
||||
<script type="module" crossorigin src="/assets/index-33320784.js"></script>
|
||||
<link rel="stylesheet" href="/assets/index-2b89acea.css">
|
||||
</head>
|
||||
<body>
|
||||
<div id="app"></div>
|
||||
|
||||
@ -364,7 +364,17 @@ export default {
|
||||
},
|
||||
computed: {
|
||||
currentModel() {
|
||||
return this.$store.state.currentModel;
|
||||
if(this.$store.state.currentModel!=undefined){
|
||||
console.log("Model found")
|
||||
return this.$store.state.currentModel;
|
||||
}
|
||||
else{
|
||||
console.log("No model found")
|
||||
let obj = {}
|
||||
obj.name="unknown"
|
||||
return obj;
|
||||
|
||||
}
|
||||
},
|
||||
installedModels() {
|
||||
return this.$store.state.installedModels;
|
||||
|
||||
@ -226,7 +226,7 @@
|
||||
</div>
|
||||
</div>
|
||||
</transition>
|
||||
<div v-if="isReady" class="relative flex flex-col flex-grow " >
|
||||
<div v-if="isReady" class="relative flex flex-col flex-grow" >
|
||||
<div id="messages-list"
|
||||
class=" z-0 flex flex-col flex-grow overflow-y-auto scrollbar-thin scrollbar-track-bg-light-tone scrollbar-thumb-bg-light-tone-panel hover:scrollbar-thumb-primary dark:scrollbar-track-bg-dark-tone dark:scrollbar-thumb-bg-dark-tone-panel dark:hover:scrollbar-thumb-primary active:scrollbar-thumb-secondary"
|
||||
:class="isDragOverChat ? 'pointer-events-none' : ''">
|
||||
@ -254,9 +254,8 @@
|
||||
|
||||
<div
|
||||
class="absolute w-full bottom-0 bg-transparent p-10 pt-16 bg-gradient-to-t from-bg-light dark:from-bg-dark from-5% via-bg-light dark:via-bg-dark via-10% to-transparent to-100%">
|
||||
|
||||
</div>
|
||||
<div class=" bottom-0 container flex flex-row items-center justify-center " v-if="currentDiscussion.id">
|
||||
<div class="bottom-0 flex flex-row items-center justify-center " v-if="currentDiscussion.id">
|
||||
<ChatBox ref="chatBox"
|
||||
:loading="isGenerating"
|
||||
:discussionList="discussionArr"
|
||||
@ -284,6 +283,10 @@
|
||||
@close-dialog="onclosedatabase_selectorDialog"
|
||||
@choice-validated="onvalidatedatabase_selectorChoice"
|
||||
/>
|
||||
<div v-show="progress_visibility" role="status" class="fixed m-0 p-2 left-2 bottom-2 min-w-[24rem] max-w-[24rem] h-20 flex flex-col justify-center items-center pb-4 bg-blue-500 rounded-lg shadow-lg z-50 background-a">
|
||||
<ProgressBar ref="progress" :progress="progress_value" class="w-full h-4"></ProgressBar>
|
||||
<p class="text-2xl animate-pulse mt-2 text-white">{{ loading_infos }} ...</p>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
|
||||
@ -372,6 +375,8 @@ export default {
|
||||
host:"",
|
||||
// To be synced with the backend database types
|
||||
msgTypes: {
|
||||
progress_visibility_val : true,
|
||||
progress_value : 0,
|
||||
// Messaging
|
||||
MSG_TYPE_CHUNK : 0, // A chunk of a message (used for classical chat)
|
||||
MSG_TYPE_FULL : 1, // A full message (for some personality the answer is sent in bulk)
|
||||
@ -433,7 +438,17 @@ export default {
|
||||
discussion_id: 0,
|
||||
}
|
||||
},
|
||||
methods: {
|
||||
methods: {
|
||||
show_progress(data){
|
||||
this.progress_visibility_val = true;
|
||||
},
|
||||
hide_progress(data){
|
||||
this.progress_visibility_val = false;
|
||||
},
|
||||
update_progress(data){
|
||||
console.log("Progress update")
|
||||
this.progress_value = data.value;
|
||||
},
|
||||
onSettingsBinding() {
|
||||
try {
|
||||
this.isLoading = true
|
||||
@ -508,27 +523,24 @@ export default {
|
||||
}
|
||||
|
||||
},
|
||||
toggleLTM(){
|
||||
async toggleLTM(){
|
||||
this.$store.state.config.use_discussions_history =! this.$store.state.config.use_discussions_history;
|
||||
this.applyConfiguration();
|
||||
await this.applyConfiguration();
|
||||
socket.emit('upgrade_vectorization');
|
||||
},
|
||||
applyConfiguration() {
|
||||
async applyConfiguration() {
|
||||
this.loading = true;
|
||||
axios.post('/apply_settings', {"config":this.$store.state.config}).then((res) => {
|
||||
this.loading = false;
|
||||
//console.log('apply-res',res)
|
||||
if (res.data.status) {
|
||||
this.$refs.toast.showToast("Configuration changed successfully.", 4, true)
|
||||
//this.save_configuration()
|
||||
} else {
|
||||
this.$refs.toast.showToast("Configuration change failed.", 4, false)
|
||||
}
|
||||
nextTick(() => {
|
||||
feather.replace()
|
||||
})
|
||||
}).catch((err)=>{
|
||||
this.loading = false;
|
||||
const res = await axios.post('/apply_settings', {"config":this.$store.state.config})
|
||||
this.loading = false;
|
||||
//console.log('apply-res',res)
|
||||
if (res.data.status) {
|
||||
this.$refs.toast.showToast("Configuration changed successfully.", 4, true)
|
||||
//this.save_configuration()
|
||||
} else {
|
||||
this.$refs.toast.showToast("Configuration change failed.", 4, false)
|
||||
}
|
||||
nextTick(() => {
|
||||
feather.replace()
|
||||
})
|
||||
},
|
||||
save_configuration() {
|
||||
@ -1186,7 +1198,7 @@ export default {
|
||||
const msgList = document.getElementById('messages-list')
|
||||
this.scrollBottom(msgList)
|
||||
})
|
||||
this.$refs.toast.showToast(notif.content, 5, notif.status)
|
||||
this.$refs.toast.showToast(notif.content, notif.duration, notif.status)
|
||||
this.chime.play()
|
||||
},
|
||||
streamMessageContent(msgObj) {
|
||||
@ -1834,6 +1846,10 @@ export default {
|
||||
|
||||
|
||||
// socket responses
|
||||
socket.on('show_progress', this.show_progress)
|
||||
socket.on('hide_progress', this.hide_progress)
|
||||
socket.on('update_progress', this.update_progress)
|
||||
|
||||
socket.on('notification', this.notify)
|
||||
socket.on('new_message', this.new_message)
|
||||
socket.on('update_message', this.streamMessageContent)
|
||||
@ -1909,6 +1925,9 @@ export default {
|
||||
ProgressBar
|
||||
},
|
||||
watch: {
|
||||
progress_visibility_val(newVal) {
|
||||
console.log("progress_visibility changed")
|
||||
},
|
||||
filterTitle(newVal) {
|
||||
if (newVal == '') {
|
||||
this.filterInProgress = true
|
||||
@ -1942,6 +1961,11 @@ export default {
|
||||
|
||||
},
|
||||
computed: {
|
||||
progress_visibility: {
|
||||
get(){
|
||||
return self.progress_visibility_val;
|
||||
}
|
||||
},
|
||||
version_info:{
|
||||
get(){
|
||||
if(this.$store.state.version!=undefined && this.$store.state.version!="unknown"){
|
||||
@ -1952,6 +1976,7 @@ export default {
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
loading_infos:{
|
||||
get(){
|
||||
return this.$store.state.loading_infos;
|
||||
|
||||
@ -46,7 +46,10 @@
|
||||
class="block min-h-500 p-2.5 w-full text-gray-900 bg-gray-50 rounded-lg border border-gray-300 focus:ring-blue-500 focus:border-blue-500 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white dark:focus:ring-blue-500 dark:focus:border-blue-500 overflow-y-scroll flex flex-col shadow-lg p-10 pt-0 overflow-y-scroll dark:bg-bg-dark scrollbar-thin scrollbar-track-bg-light-tone scrollbar-thumb-bg-light-tone-panel hover:scrollbar-thumb-primary dark:scrollbar-track-bg-dark-tone dark:scrollbar-thumb-bg-dark-tone-panel dark:hover:scrollbar-thumb-primary active:scrollbar-thumb-secondary"
|
||||
:rows="4"
|
||||
:style="{ minHeight: mdRenderHeight + `px` }" placeholder="Enter message here..."
|
||||
v-model="text">
|
||||
v-model="text"
|
||||
@click.prevent="mdTextarea_clicked"
|
||||
@change.prevent="mdTextarea_changed"
|
||||
>
|
||||
</textarea>
|
||||
|
||||
<span>Cursor position {{ cursorPosition }}</span>
|
||||
@ -300,6 +303,7 @@ export default {
|
||||
name: 'PlayGroundView',
|
||||
data() {
|
||||
return {
|
||||
mdRenderHeight:300,
|
||||
selecting_model:false,
|
||||
tab_id:"source",
|
||||
generating:false,
|
||||
@ -341,8 +345,6 @@ export default {
|
||||
// Event handler for receiving generated text chunks
|
||||
socket.on('text_chunk', data => {
|
||||
this.appendToOutput(data.chunk);
|
||||
// const text_element = document.getElementById('text_element');
|
||||
// text_element.scrollTo(0, text_element.scrollHeight);
|
||||
});
|
||||
|
||||
// Event handler for receiving generated text chunks
|
||||
@ -447,13 +449,13 @@ export default {
|
||||
|
||||
event.preventDefault();
|
||||
},
|
||||
text_element_changed(){
|
||||
console.log("text_element_changed")
|
||||
this.cursorPosition = this.$refs.text_element.selectionStart;
|
||||
mdTextarea_changed(){
|
||||
console.log("mdTextarea_changed")
|
||||
this.cursorPosition = this.$refs.mdTextarea.selectionStart;
|
||||
},
|
||||
text_element_clicked(){
|
||||
console.log("text_element_clicked")
|
||||
this.cursorPosition = this.$refs.text_element.selectionStart;
|
||||
mdTextarea_clicked(){
|
||||
console.log(`mdTextarea_clicked: ${this.$refs.mdTextarea.selectionStart}`)
|
||||
this.cursorPosition = this.$refs.mdTextarea.selectionStart;
|
||||
},
|
||||
setModel(){
|
||||
this.selecting_model=true
|
||||
@ -545,7 +547,7 @@ export default {
|
||||
speakChunk();
|
||||
},
|
||||
getCursorPosition() {
|
||||
return this.cursorPosition;
|
||||
return this.$refs.mdTextarea.selectionStart;
|
||||
},
|
||||
appendToOutput(chunk){
|
||||
this.pre_text += chunk
|
||||
@ -583,7 +585,11 @@ export default {
|
||||
this.pre_text = this.text.substring(0,this.getCursorPosition())
|
||||
this.post_text = this.text.substring(this.getCursorPosition(), this.text.length)
|
||||
var prompt = this.text.substring(0,this.getCursorPosition())
|
||||
console.log(prompt)
|
||||
console.log(this.text)
|
||||
console.log(`cursor position :${this.getCursorPosition()}`)
|
||||
console.log(`pretext:${this.pre_text}`)
|
||||
console.log(`post_text:${this.post_text}`)
|
||||
console.log(`prompt:${prompt}`)
|
||||
// Trigger the 'generate_text' event with the prompt
|
||||
socket.emit('generate_text', { prompt: prompt, personality: -1, n_predicts: this.n_predicts , n_crop: this.n_crop,
|
||||
parameters: {
|
||||
|
||||
@ -486,6 +486,23 @@
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td style="min-width: 200px;">
|
||||
<label for="summerize_discussion" class="text-sm font-bold" style="margin-right: 1rem;">Activate Continuous Learning from discussions:</label>
|
||||
</td>
|
||||
<td>
|
||||
<div class="flex flex-row">
|
||||
<input
|
||||
type="checkbox"
|
||||
id="summerize_discussion"
|
||||
required
|
||||
v-model="configFile.summerize_discussion"
|
||||
@change="settingsChanged=true"
|
||||
class="mt-1 px-2 py-1 border border-gray-300 rounded dark:bg-gray-600"
|
||||
>
|
||||
</div>
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td style="min-width: 200px;">
|
||||
<label for="data_vectorization_visualize_on_vectorization" class="text-sm font-bold" style="margin-right: 1rem;">show vectorized data:</label>
|
||||
</td>
|
||||
|
||||
@ -1 +1 @@
|
||||
Subproject commit 3cc010cad244c56766e02ab4c72abda4b4afe8fa
|
||||
Subproject commit ccabccd29b4d087bf5f3528dec2da664478aa03d
|
||||
@ -1 +1 @@
|
||||
Subproject commit 67a62dc6bf1d4417da1f2fb2e1c6c9a09f7404f6
|
||||
Subproject commit be8781ff3d44dd901b706529d0c468a239e4583c
|
||||
Loading…
x
Reference in New Issue
Block a user