mirror of
https://github.com/SillyTavern/SillyTavern.git
synced 2025-06-05 21:59:27 +02:00
421 lines
19 KiB
Plaintext
421 lines
19 KiB
Plaintext
{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Links**<br>\n",
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"Cohee's TavernAI fork Github https://github.com/Cohee1207/SillyTavern<br>\n",
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"Cohee's TavernAI Extras Github https://github.com/Cohee1207/TavernAI-extras/<br>\n",
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"TavernAI Discord https://discord.gg/zmK2gmr45t<br>\n",
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"Questions? Hit me up on Discord: Cohee#1207"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"cellView": "form",
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"id": "_1gpebrnlp5-"
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},
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"outputs": [],
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"source": [
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"#@title <b><-- Convert TavernAI characters to SillyTavern format</b>\n",
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"\n",
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"!mkdir /convert\n",
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"%cd /convert\n",
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"\n",
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"import os\n",
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"from google.colab import drive\n",
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"\n",
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"drive.mount(\"/convert/drive\")\n",
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"\n",
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"!git clone -b tools https://github.com/EnergoStalin/SillyTavern.git\n",
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"%cd SillyTavern\n",
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"\n",
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"!curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.37.2/install.sh | bash\n",
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"!nvm install 19.1.0\n",
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"!nvm use 19.1.0\n",
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"\n",
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"%cd tools/charaverter\n",
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"\n",
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"!npm i\n",
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"\n",
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"path = \"/convert/drive/MyDrive/TavernAI/characters\"\n",
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"output = \"/convert/drive/MyDrive/SillyTavern/characters\"\n",
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"if not os.path.exists(path):\n",
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" path = output\n",
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"\n",
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"!mkdir -p $output\n",
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"!node main.mjs $path $output\n",
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"\n",
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"drive.flush_and_unmount()\n",
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"\n",
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"%cd /\n",
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"!rm -rf /convert"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "ewkXkyiFP2Hq"
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},
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"outputs": [],
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"source": [
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"#@title <-- Tap this if you play on Mobile { display-mode: \"form\" }\n",
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"%%html\n",
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"<b>Press play on the music player to keep the tab alive, then start KoboldAI below (Uses only 13MB of data)</b><br/>\n",
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"<audio src=\"https://raw.githubusercontent.com/KoboldAI/KoboldAI-Client/main/colab/silence.m4a\" controls>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"cellView": "form",
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"id": "lVftocpwCoYw"
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},
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"outputs": [],
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"source": [
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"#@title <b><-- Select your model below and then click this to start KoboldAI</b>\n",
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"\n",
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"Model = \"Pygmalion 6B\" #@param [\"Nerys V2 6B\", \"Erebus 6B\", \"Skein 6B\", \"Janeway 6B\", \"Adventure 6B\", \"Pygmalion 6B\", \"Pygmalion 6B Dev\", \"Lit V2 6B\", \"Lit 6B\", \"Shinen 6B\", \"Nerys 2.7B\", \"AID 2.7B\", \"Erebus 2.7B\", \"Janeway 2.7B\", \"Picard 2.7B\", \"Horni LN 2.7B\", \"Horni 2.7B\", \"Shinen 2.7B\", \"OPT 2.7B\", \"Fairseq Dense 2.7B\", \"Neo 2.7B\", \"Pygway 6B\", \"Nerybus 6.7B\", \"Pygway v8p4\", \"PPO-Janeway 6B\", \"PPO Shygmalion 6B\", \"LLaMA 7B\", \"Janin-GPTJ\", \"Javelin-GPTJ\", \"Javelin-R\", \"Janin-R\", \"Javalion-R\", \"Javalion-GPTJ\", \"Javelion-6B\", \"GPT-J-Pyg-PPO-6B\", \"ppo_hh_pythia-6B\", \"ppo_hh_gpt-j\", \"GPT-J-Pyg_PPO-6B\", \"GPT-J-Pyg_PPO-6B-Dev-V8p4\", \"Dolly_GPT-J-6b\", \"Dolly_Pyg-6B\"] {allow-input: true}\n",
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"Version = \"Official\" #@param [\"Official\", \"United\"] {allow-input: true}\n",
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"Provider = \"Localtunnel\" #@param [\"Localtunnel\"]\n",
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"ForceInitSteps = [] #@param {allow-input: true}\n",
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"UseGoogleDrive = True #@param {type:\"boolean\"}\n",
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"StartKoboldAI = True #@param {type:\"boolean\"}\n",
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"ModelsFromDrive = False #@param {type:\"boolean\"}\n",
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"UseExtrasExtensions = True #@param {type:\"boolean\"}\n",
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"#@markdown Enables hosting of extensions backend for TavernAI Extras\n",
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"extras_enable_captioning = True #@param {type:\"boolean\"}\n",
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"#@markdown Loads the image captioning module\n",
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"Captions_Model = \"Salesforce/blip-image-captioning-large\" #@param [ \"Salesforce/blip-image-captioning-large\", \"Salesforce/blip-image-captioning-base\" ]\n",
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"#@markdown * Salesforce/blip-image-captioning-large - good base model\n",
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"#@markdown * Salesforce/blip-image-captioning-base - slightly faster but less accurate\n",
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"extras_enable_emotions = True #@param {type:\"boolean\"}\n",
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"#@markdown Loads the sentiment classification model\n",
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"Emotions_Model = \"bhadresh-savani/distilbert-base-uncased-emotion\" #@param [\"bhadresh-savani/distilbert-base-uncased-emotion\", \"joeddav/distilbert-base-uncased-go-emotions-student\"]\n",
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"#@markdown * bhadresh-savani/distilbert-base-uncased-emotion = 6 supported emotions<br>\n",
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"#@markdown * joeddav/distilbert-base-uncased-go-emotions-student = 28 supported emotions\n",
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"extras_enable_memory = True #@param {type:\"boolean\"}\n",
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"#@markdown Loads the story summarization module\n",
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"Memory_Model = \"Qiliang/bart-large-cnn-samsum-ChatGPT_v3\" #@param [ \"Qiliang/bart-large-cnn-samsum-ChatGPT_v3\", \"Qiliang/bart-large-cnn-samsum-ElectrifAi_v10\", \"distilbart-xsum-12-3\" ]\n",
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"#@markdown * Qiliang/bart-large-cnn-samsum-ChatGPT_v3 - summarization model optimized for chats\n",
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"#@markdown * Qiliang/bart-large-cnn-samsum-ElectrifAi_v10 - nice results so far, but still being evaluated\n",
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"#@markdown * distilbart-xsum-12-3 - faster, but pretty basic alternative\n",
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"\n",
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"\n",
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"%cd /content\n",
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"\n",
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"!cat .ii\n",
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"!nvidia-smi\n",
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"\n",
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"import os, subprocess, time, pathlib, json, base64\n",
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"\n",
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"class ModelData:\n",
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" def __init__(self, name, version = Version, revision = \"\", path = \"\", download = \"\"):\n",
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" try:\n",
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" self.name = base64.b64decode(name.encode(\"ascii\")).decode(\"ascii\")\n",
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" except:\n",
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" self.name = name\n",
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" self.version = version \n",
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" self.revision = revision\n",
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" self.path = path\n",
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" self.download = download\n",
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" def args(self):\n",
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" args = [\"-m\", self.name, \"-g\", self.version]\n",
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" if(self.revision):\n",
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" args += [\"-r\", self.revision]\n",
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" return args\n",
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"\n",
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"class IncrementialInstall:\n",
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" def __init__(self, tasks = [], force = []):\n",
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" self.tasks = tasks\n",
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" self.completed = list(filter(lambda x: not x in force, self.__completed()))\n",
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"\n",
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" def __completed(self):\n",
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" try:\n",
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" with open(\".ii\") as f:\n",
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" return json.load(f)\n",
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" except:\n",
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" return []\n",
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"\n",
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" def addTask(self, name, func):\n",
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" self.tasks.append({\"name\": name, \"func\": func})\n",
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"\n",
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" def run(self):\n",
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" todo = list(filter(lambda x: not x[\"name\"] in self.completed, self.tasks))\n",
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" try:\n",
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" for task in todo:\n",
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" task[\"func\"]()\n",
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" self.completed.append(task[\"name\"])\n",
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" finally:\n",
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" with open(\".ii\", \"w\") as f:\n",
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" json.dump(self.completed, f)\n",
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"\n",
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"ii = IncrementialInstall(force=ForceInitSteps)\n",
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"\n",
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"def create_paths(paths):\n",
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" for directory in paths:\n",
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" if not os.path.exists(directory):\n",
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" os.makedirs(directory)\n",
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"\n",
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"# link source to dest copying dest to source if not present first\n",
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"def link(srcDir, destDir, files):\n",
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" for file in files:\n",
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" source = os.path.join(srcDir, file)\n",
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" dest = os.path.join(destDir, file)\n",
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" if not os.path.exists(source):\n",
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" !cp -r \"$dest\" \"$source\"\n",
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" !rm -rf \"$dest\"\n",
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" !ln -fs \"$source\" \"$dest\"\n",
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"\n",
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"from google.colab import drive\n",
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"if UseGoogleDrive:\n",
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" drive.mount(\"/content/drive/\")\n",
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"else:\n",
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" create_paths([\n",
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" \"/content/drive/MyDrive\"\n",
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" ])\n",
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"\n",
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"models = {\n",
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" \"Nerys V2 6B\": ModelData(\"KoboldAI/OPT-6B-nerys-v2\"),\n",
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" \"Erebus 6B\": ModelData(\"KoboldAI/OPT-6.7B-Erebus\"),\n",
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" \"Skein 6B\": ModelData(\"KoboldAI/GPT-J-6B-Skein\"),\n",
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" \"Janeway 6B\": ModelData(\"KoboldAI/GPT-J-6B-Janeway\"),\n",
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" \"Adventure 6B\": ModelData(\"KoboldAI/GPT-J-6B-Adventure\"),\n",
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" \"UHlnbWFsaW9uIDZC\": ModelData(\"UHlnbWFsaW9uQUkvcHlnbWFsaW9uLTZi\"),\n",
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" \"UHlnbWFsaW9uIDZCIERldg==\": ModelData(\"UHlnbWFsaW9uQUkvcHlnbWFsaW9uLTZi\", revision = \"dev\"),\n",
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" \"Lit V2 6B\": ModelData(\"hakurei/litv2-6B-rev3\"),\n",
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" \"Lit 6B\": ModelData(\"hakurei/lit-6B\"),\n",
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" \"Shinen 6B\": ModelData(\"KoboldAI/GPT-J-6B-Shinen\"),\n",
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" \"Nerys 2.7B\": ModelData(\"KoboldAI/fairseq-dense-2.7B-Nerys\"),\n",
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" \"Erebus 2.7B\": ModelData(\"KoboldAI/OPT-2.7B-Erebus\"),\n",
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" \"Janeway 2.7B\": ModelData(\"KoboldAI/GPT-Neo-2.7B-Janeway\"),\n",
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" \"Picard 2.7B\": ModelData(\"KoboldAI/GPT-Neo-2.7B-Picard\"),\n",
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" \"AID 2.7B\": ModelData(\"KoboldAI/GPT-Neo-2.7B-AID\"),\n",
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" \"Horni LN 2.7B\": ModelData(\"KoboldAI/GPT-Neo-2.7B-Horni-LN\"),\n",
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" \"Horni 2.7B\": ModelData(\"KoboldAI/GPT-Neo-2.7B-Horni\"),\n",
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" \"Shinen 2.7B\": ModelData(\"KoboldAI/GPT-Neo-2.7B-Shinen\"),\n",
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" \"Fairseq Dense 2.7B\": ModelData(\"KoboldAI/fairseq-dense-2.7B\"),\n",
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" \"OPT 2.7B\": ModelData(\"facebook/opt-2.7b\"),\n",
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" \"Neo 2.7B\": ModelData(\"EleutherAI/gpt-neo-2.7B\"),\n",
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" \"Pygway 6B\": ModelData(\"TehVenom/PPO_Pygway-6b\"),\n",
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" \"Nerybus 6.7B\": ModelData(\"KoboldAI/OPT-6.7B-Nerybus-Mix\"),\n",
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" \"Pygway v8p4\": ModelData(\"TehVenom/PPO_Pygway-V8p4_Dev-6b\"),\n",
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" \"PPO-Janeway 6B\": ModelData(\"TehVenom/PPO_Janeway-6b\"),\n",
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" \"PPO Shygmalion 6B\": ModelData(\"TehVenom/PPO_Shygmalion-6b\"),\n",
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" \"LLaMA 7B\": ModelData(\"decapoda-research/llama-7b-hf\"),\n",
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" \"Janin-GPTJ\": ModelData(\"digitous/Janin-GPTJ\"),\n",
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" \"Javelin-GPTJ\": ModelData(\"digitous/Javelin-GPTJ\"),\n",
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" \"Javelin-R\": ModelData(\"digitous/Javelin-R\"),\n",
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" \"Janin-R\": ModelData(\"digitous/Janin-R\"),\n",
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" \"Javalion-R\": ModelData(\"digitous/Javalion-R\"),\n",
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" \"Javalion-GPTJ\": ModelData(\"digitous/Javalion-GPTJ\"),\n",
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" \"Javelion-6B\": ModelData(\"Cohee/Javelion-6b\"),\n",
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" \"GPT-J-Pyg-PPO-6B\": ModelData(\"TehVenom/GPT-J-Pyg_PPO-6B\"),\n",
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" \"ppo_hh_pythia-6B\": ModelData(\"reciprocate/ppo_hh_pythia-6B\"),\n",
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" \"ppo_hh_gpt-j\": ModelData(\"reciprocate/ppo_hh_gpt-j\"),\n",
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" \"Alpaca-7B\": ModelData(\"chainyo/alpaca-lora-7b\"),\n",
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" \"LLaMA 4-bit\": ModelData(\"decapoda-research/llama-13b-hf-int4\"),\n",
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" \"GPT-J-Pyg_PPO-6B\": ModelData(\"TehVenom/GPT-J-Pyg_PPO-6B\"),\n",
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" \"GPT-J-Pyg_PPO-6B-Dev-V8p4\": ModelData(\"TehVenom/GPT-J-Pyg_PPO-6B-Dev-V8p4\"),\n",
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" \"Dolly_GPT-J-6b\": ModelData(\"TehVenom/Dolly_GPT-J-6b\"),\n",
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" \"Dolly_Pyg-6B\": ModelData(\"TehVenom/AvgMerge_Dolly-Pygmalion-6b\")\n",
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"}\n",
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"model = models.get(Model, None)\n",
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"\n",
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"if model == None:\n",
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" model = models.get(base64.b64encode(Model.encode(\"ascii\")).decode(\"ascii\"), ModelData(Model, Version))\n",
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"\n",
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"if StartKoboldAI:\n",
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" def downloadKobold():\n",
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" !wget https://koboldai.org/ckds && chmod +x ckds\n",
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" def initKobold():\n",
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" !./ckds --init only\n",
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"\n",
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" ii.addTask(\"Download KoboldAI\", downloadKobold)\n",
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" ii.addTask(\"Init KoboldAI\", initKobold)\n",
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" \n",
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" ii.run()\n",
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"\n",
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"kargs = [\"/content/ckds\"]\n",
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"if not ModelsFromDrive:\n",
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" kargs += [\"-x\", \"colab\", \"-l\", \"colab\"]\n",
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"if Provider == \"Localtunnel\":\n",
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" kargs += [\"--localtunnel\", \"yes\"]\n",
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"\n",
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"kargs += model.args()\n",
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"\n",
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"url = \"\"\n",
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"print(kargs)\n",
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"\n",
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"if StartKoboldAI:\n",
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" p = subprocess.Popen(kargs, stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n",
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"\n",
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" prefix = \"KoboldAI has finished loading and is available at the following link\"\n",
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" urlprefix = f\"{prefix}: \"\n",
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" ui1prefix = f\"{prefix} for UI 1: \"\n",
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" while True:\n",
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" line = p.stdout.readline().decode().strip()\n",
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" if urlprefix in line:\n",
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" url = line.split(urlprefix)[1]\n",
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" break\n",
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" elif ui1prefix in line:\n",
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" url = line.split(ui1prefix)[1]\n",
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" break\n",
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" elif not line:\n",
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" break\n",
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" print(line)\n",
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" if \"INIT\" in line and \"Transformers\" in line:\n",
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" print(\"Model loading... (It will take 2 - 5 minutes)\")\n",
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"\n",
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"print(url)\n",
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"\n",
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"# #TavernAI\n",
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"%cd /\n",
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"def setupNVM():\n",
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" !curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.37.2/install.sh | bash\n",
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"ii.addTask(\"Setup NVM\", setupNVM)\n",
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"\n",
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"def installNode():\n",
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" !nvm install 19.1.0\n",
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" !nvm use 19.1.0\n",
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"ii.addTask(\"Install node\", installNode)\n",
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"\n",
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"\n",
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"# TavernAI extras\n",
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"params = []\n",
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"params.append('--cpu')\n",
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"ExtrasModules = []\n",
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"\n",
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"if (extras_enable_captioning):\n",
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" ExtrasModules.append('caption')\n",
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"if (extras_enable_memory):\n",
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" ExtrasModules.append('summarize')\n",
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"if (extras_enable_emotions):\n",
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" ExtrasModules.append('classify')\n",
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"\n",
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"params.append(f'--classification-model={Emotions_Model}')\n",
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"params.append(f'--summarization-model={Memory_Model}')\n",
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"params.append(f'--captioning-model={Captions_Model}')\n",
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"params.append(f'--enable-modules={\",\".join(ExtrasModules)}')\n",
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"\n",
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"extras_url = '(disabled)'\n",
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"\n",
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"if UseExtrasExtensions:\n",
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" def cloneExtras():\n",
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" %cd /\n",
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" !git clone https://github.com/Cohee1207/TavernAI-extras\n",
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" ii.addTask('clone extras', cloneExtras)\n",
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"\n",
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" def installRequirements():\n",
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" %cd /TavernAI-extras\n",
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" !npm install -g localtunnel\n",
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" !pip install -r requirements.txt\n",
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" !pip install tensorflow==2.11\n",
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" ii.addTask('install requirements', installRequirements)\n",
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"\n",
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" def runServer():\n",
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" cmd = f\"python server.py {' '.join(params)}\"\n",
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" print(cmd)\n",
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" extras_process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, cwd='/TavernAI-extras', shell=True)\n",
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" print('processId:', extras_process.pid)\n",
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" while True:\n",
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" line = extras_process.stdout.readline().decode().strip()\n",
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" if \"Running on \" in line:\n",
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" break\n",
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" if not line:\n",
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" print('breaking on line')\n",
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" break\n",
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" print(line)\n",
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" ii.addTask('run server', runServer)\n",
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"\n",
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" def extractUrl():\n",
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" subprocess.call('nohup lt --port 5100 > ./extras.out 2> ./extras.err &', shell=True)\n",
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" print('Waiting for lt init...')\n",
|
|
" time.sleep(5)\n",
|
|
"\n",
|
|
" while True:\n",
|
|
" if (os.path.getsize('./extras.out') > 0):\n",
|
|
" with open('./extras.out', 'r') as f:\n",
|
|
" lines = f.readlines()\n",
|
|
" for x in range(len(lines)):\n",
|
|
" if ('your url is: ' in lines[x]):\n",
|
|
" print('TavernAI Extensions URL:')\n",
|
|
" extras_url = lines[x].split('your url is: ')[1]\n",
|
|
" print(extras_url)\n",
|
|
" break\n",
|
|
" if (os.path.getsize('./extras.err') > 0):\n",
|
|
" with open('./extras.err', 'r') as f:\n",
|
|
" print(f.readlines())\n",
|
|
" break\n",
|
|
" ii.addTask('extract extras URL', extractUrl)\n",
|
|
"\n",
|
|
"def cloneTavern():\n",
|
|
" !git clone https://github.com/Cohee1207/SillyTavern\n",
|
|
"ii.addTask(\"Clone SillyTavern\", cloneTavern)\n",
|
|
"\n",
|
|
"ii.run()\n",
|
|
"%cd /SillyTavern\n",
|
|
"\n",
|
|
"if UseGoogleDrive:\n",
|
|
" %env googledrive=2\n",
|
|
"\n",
|
|
" def setupTavernPaths():\n",
|
|
" tdrive = \"/content/drive/MyDrive/SillyTavern\"\n",
|
|
" create_paths([\n",
|
|
" tdrive,\n",
|
|
" os.path.join(\"public\", \"groups\"),\n",
|
|
" os.path.join(\"public\", \"group chats\")\n",
|
|
" ])\n",
|
|
" link(tdrive, \"public\", [\n",
|
|
" \"settings.json\",\n",
|
|
" \"backgrounds\",\n",
|
|
" \"characters\",\n",
|
|
" \"chats\",\n",
|
|
" \"User Avatars\",\n",
|
|
" \"css\",\n",
|
|
" \"worlds\",\n",
|
|
" \"group chats\",\n",
|
|
" \"groups\",\n",
|
|
" ])\n",
|
|
" ii.addTask(\"Setup Tavern Paths\", setupTavernPaths)\n",
|
|
"\n",
|
|
"def installTavernDependencies():\n",
|
|
" !npm install\n",
|
|
" !npm install -g localtunnel\n",
|
|
"ii.addTask(\"Install Tavern Dependencies\", installTavernDependencies)\n",
|
|
"ii.run()\n",
|
|
"\n",
|
|
"%env colaburl=$url\n",
|
|
"%env SILLY_TAVERN_PORT=5001\n",
|
|
"print(\"KoboldAI LINK:\", url, '###Extensions API LINK###', extras_url, \"###SillyTavern LINK###\", sep=\"\\n\")\n",
|
|
"p = subprocess.Popen([\"lt\", \"--port\", \"5001\"], stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n",
|
|
"print(p.stdout.readline().decode().strip())\n",
|
|
"!node server.js"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"accelerator": "GPU",
|
|
"colab": {
|
|
"private_outputs": true,
|
|
"provenance": []
|
|
},
|
|
"gpuClass": "standard",
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"name": "python"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 0
|
|
}
|