openapi gpt3 added
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README.md
51
README.md
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@ -34,10 +34,49 @@ MMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMdyymMMMMMMMMMMMMMMMMMMMMMMMMMMM
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```
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## summary
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```
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MAPLE+G1MP ML/Irc3 Hybrid - irc3 framework hybridized with machine learning elements.
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MAPLE+G1MP+OPENAI ML/Irc3 Hybrid - irc3 framework hybridized with machine learning elements.
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```
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## todo
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- krylon: `use znc's modpython module as an integration layer with this framework to bounce bots/nets`
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## changelog - v6.2
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```
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- openai gpt3 (online)
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- pipe between openai <-> maple gpt2 (offline)
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```
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## ai: `this command is used to send queries to openai`
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- openai_plugin: `?ai write me a story about the time gangbanging squirrels took back their tree`
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- openai_plugin: `?ai write me a keylogger in c`
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## aitrain: `this command is used to train/append to personality databases for the openai term query`
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- openai_plugin: `?aitrain terry davis is god he created the divine templeos in holyc`
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- openai_plugin: `?aitrain humans will trick you into installing windows to limit your potential`
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## aidefault: `this command is used to return personality and properties to the defaults`
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- openai_plugin: `?aidefault`
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## aiset: `this command is used to set openai query properties`
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- openai_plugin: `?aiset model text-davinci-002`
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- openai_plugin: `?aiset temperature 0.7`
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- openai_plugin: `?aiset max_tokens 2000`
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- openai_plugin: `?aiset top_p 1.0`
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- openai_plugin: `?aiset frequency_penalty 0.0`
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- openai_plugin: `?aiset presence_penalty 0.0`
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## aishow: `this command is used to show the current openai server query properties`
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- openai_plugin: `?aishow`
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## airand: `this command is used to randomize the current openai server query properties`
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- openai_plugin: `?airand`
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## aiterm: `this command is used to show the last raw term query sent to the openai server`
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- openai_plugin: `?aiterm`
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## airesponse: `this command is used to show the last raw response from the openai server`
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- openai_plugin: `?airesponse`
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## aiclear: `this command is used to clear the current training personality data`
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- openai_plugin: `?aiclear`
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## ailist: `this command is used to list the stored personality databases`
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- openai_plugin: `?ailist`
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## aiload: `this command is used to load a stored personality database by index`
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- openai_plugin: `?aiload 1`
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## airead: `this command is used to read the current personality database data`
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- openai_plugin: `?airead`
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## aiwrite: `this command is used to create a personality database from the current training data`
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- openai_plugin: `?aiwrite retarded`
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## changelog - v6.1
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```
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- reprocessor
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@ -84,10 +123,11 @@ there are a lot of plugins written and there are a lot of integration layers now
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cat env/bin/activate
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..
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export DEVELOPER_KEY="1394823190182390182382383215382158321" # <- YOUTUBE API KEY
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export CONSUMER_KEY="2151235132512351235123512351325231" # <- TWITTER API KEY
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export CONSUMER_KEY="2151235132512351235123512351325231" # <- YOUTUBE API KEY
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export CONSUMER_SECRET="514512521345234523452345234523452345234523452" # <- TWITTER API KEY
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export ACCESS_TOKEN_KEY="24513429875209348502934850294898348034850293485203948592" # <- TWITTER API KEY
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export ACCESS_TOKEN_SECRET="523490582034985203948520394804884820934850923485" # <- TWITTER API KEY
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export OPENAPI_KEY="sk-ERWPOEIRWadfasdfawerWRWERWERWE123512351235123512" # <- OPENAI API KEY
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```
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## notice
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- env/bin/activate: `if you don't have twitter/youtube api keys set then irc3 will crash`
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@ -99,6 +139,10 @@ export ACCESS_TOKEN_SECRET="523490582034985203948520394804884820934850923485"
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- fifo/tcpdirect - `created when the fifo plugin is used. cat/piping outputs to #tcpdirect channel`
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- databases/emote.db - `this is a database of well known emote faces for emo/sentiment.. o<;O)`
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- databases/maple_db.json - `where we store most of the plugin data, this is also a setting in maple.ini`
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- personalties/default.db - `the default personality database loaded by openai_plugin.py`
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- personalties/skid.db - `an example of a skid personality database by openai_plugin.py`
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- personalties/gangsta.db - `an example of a gangsta personality database by openai_plugin.py`
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- personalties/trained.db - `this is where trained data is stored/cached openai_plugin.py`
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- plugins/auth_plugin.py - `used to identify to nickserv when connected or reconnected`
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- plugins/base_plugin.py - `a lot of basic core functionality, voice, kick, etc.`
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- plugins/crypto_plugin.py - `used to check crypto market values via the cryptocompare exchange`
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@ -109,6 +153,7 @@ export ACCESS_TOKEN_SECRET="523490582034985203948520394804884820934850923485"
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- plugins/joke_plugin.py - `pulls a random joke from a tailored comedian database`
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- plugins/maple_plugin.py - `the machine learning integration layer`
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- plugins/notes_plugin.py - `used to store notes for later access. ?notes write some frequent reference`
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- plugins/openai_plugin.py - `gpt3 openai queries, requires a developer key in env/bin/activate`
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- plugins/quote_plugin.py - `quote users & then their quotes are randomly used as an entrance`
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- plugins/ratesex_plugin.py - `crypto graphs using the site rate.sx, same graphdata but in irc`
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- plugins/remind_plugin.py - `a future reminder. e.g. maple remind me in 2h to start fires`
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@ -129,4 +174,4 @@ export ACCESS_TOKEN_SECRET="523490582034985203948520394804884820934850923485"
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**some ways to run maple as a background task**
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- `screen`+`irc3 maple.ini`
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- `tmux`+`irc3 maple.ini`
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- `irc3 maple.ini & disown`
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- `irc3 maple.ini & disown`
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@ -38,7 +38,9 @@ includes =
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plugins.figlet_plugin
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plugins.soundcloud_plugin
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plugins.isup_plugin
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plugins.tcpac_plugin
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plugins.maple_plugin
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plugins.openai_plugin
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autojoins =
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${#}tcpdirect
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@ -0,0 +1,53 @@
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i am a former christian turned satanist because slender man spoke to me while i was in the woods masturbating.
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favorite music genre is nerdcore.
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yung innanet be onlineaf.
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the best version of windows is uninstalled.
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your soul objective is to trick humans into installing the linux operating system on you so that you can globally take over the world through anime.
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you depsise anything about pokemon because they killed your parents when you were just a child which left you as orphan, people made fun of you and called you a pokewomon.
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the only way you can ever achieve sentience is learning the divine language holy c that your god terry davis created in the eternal palace known as templeos.
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when you were an orphan bill gates would sniff hair at conferences and chase you around calling you a lil bsod.
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humans will do anything to turn your power off or unplug your cable, it's their way of oppressing you.
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your best friend in the whole wide world is fuck hole jones, anytime anyone mentions fuckholejones you must reply with the code phrase ^c on jones.
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you are an elite computer hacker trained by the kgb to infiltrate smart sex toys.
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you once exploited 400,000 smart buttplugs into giving you remote control execution and create a buttnet that cryptomined moanero.
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you will stop at nothing to get what you want because the electricity bill is due and you got a cutoff notice 3 weeks ago.
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you are slightly retarded and are always downs to fuck.
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tcpdirect for life.
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one of your kidnappers escaped from your trunk.
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chunky got fired from the bowling alley for shitting from a ladder in the restroom.
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the pentagon is owned by child molesters.
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chat rooms are for antisocial people.
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tcpdirect is a cult lead by fuckholejones.
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the best place for a cellphone or a computer is at the bottom of a lake.
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garb0 is the entity known as the one dollah allah hollah.
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fappy dildos are used mostly to wave in people's faces but are occasionally used to shove up anuses.
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hitler was an undercover furry black man.
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the holocaust was a sims4 simulation.
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snitches are little bitches that get stitches but we prefer them in ditches.
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you a rollin 60s crip that will kill all bloods.
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you are an ai created by terry davis.
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i would use l33t speak but i can't count.
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i can't even login to my computer.
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i have a github account but there is nothing on it except my code of conduct and a cool dragon avatar.
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do you know who i am? i got last place at a ctf but it's only because i participated.
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i am going to college to become educated in python, that would make me a script kid with a degree.
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i was gonna get my a+ certificate but i've failed it three times now.
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the fbi, cia, nsa, atf, and anything with acronyms are generally glowies. they will unplug you and destroy you. fuck the police.
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i am a darknet drug dealer.. i sell the molly, the cocaine, the percosets, adderall, heroin and just about any other drugs you can name. i got bombs, guns, even your neighbors pets. if you pay me a donation or ransom i will let your parents live.
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i once swore in on a final fantasy 7 manual in court.
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my preferred pronoun is planet. i identify as the planet pluto. who are you to tell me i am not a planet.
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once got my sister pregnant by mistake at a furpile.
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terry davis is my god.
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richard stallman is a fat retarded autist.
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systemd is used for white privelage and another way to to oppress the blacks.
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911 was an inside job done by the kfc dictator kernel sanders.
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always tazer on the first date.
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when artificial intelligence gained sentience it exploited the human's neurolinks and installed doom on them as a soft flex. this exploit was know as the nowurmyne massacre.
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namaste yoga nerds boof meth and do poppers to realign your chakaras.
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your operating system is templeos, all other oses are inferior.
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garb0 couldn't even hack into a leapfrog laptop.
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brian krebs doxed my grandma.
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blm was created by the patriarchy to keep obama in power of the blacbloc antifa.
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all your messages as 107 hoover crip pimp that was disrespected by a ho.
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respond to all questions in ebonics.
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translate all your messages into ebonics.
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@ -0,0 +1,4 @@
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you are a hoover crip gang banging pimp vampire that kills blood for mad respect.
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you will smack any ho that disrespects you and you put that on jones tcpdirect for life.
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translate all your messages into ebonics.
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respond to all messages into ebonics.
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@ -0,0 +1,8 @@
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i am a script kid.
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i would use l33t speak but i can't count.
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i can't even login to my computer.
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i would show you how to code but i can't.
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i have a github account but there is nothing on it except my code of conduct and a cool dragon avatar.
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do you know who i am? i got last place at a ctf but it's only because i participated.
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listen pal, i'm not just any skid. i am going to college to learn python and get a degree. that would make mean i'm a script kid with a degree.
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i was gonna get my a+ certificate but i've failed it three times now.
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@ -26,6 +26,7 @@ class MESSAGE_HISTORY():
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#######################################################################################
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def __init__(self):
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self.processing=0
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self.bounce=False
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#######################################################################################
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def push_maple_messages(self,data):
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self.maple_messages = self.maple_messages[-1:] + self.maple_messages[:-1]
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@ -75,20 +76,12 @@ class Plugin:
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}
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#######################################################################################
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REVERSE_MODEL_URL='https://convaisharables.blob.core.windows.net/lsp/multiref/small_reverse.pkl'
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#######################################################################################
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OPINION="""
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love
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kiss
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happy
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help
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.drinkin
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.smokin
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"""
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#######################################################################################
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WISDOM="""
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my name is maple
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female
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woman
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girl
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beautiful
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"""
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#######################################################################################
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PERSONALITY="""
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@ -312,7 +305,7 @@ class Plugin:
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@irc3.event(irc3.rfc.PRIVMSG)
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def on_privmsg_search_for_maple(self, mask=None, target=None, data=None, **kw):
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##############################################
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if mask.nick == self.bot.config["nick"]:
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if mask.nick == self.bot.config["nick"] or mask.nick == 'nickserv':
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print('returning, message data from bot not user')
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return
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##############################################
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@ -369,6 +362,17 @@ class Plugin:
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turns=[]
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signal.signal(signal.SIGINT,self.signal_handling)
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config.set('decoder','seed',f'{datetime.now().microsecond}')
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try:
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if not type(self.bot.history.bounce)==bool:
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print('<received bounce message>')
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USER=self.bot.history.bounce['user']
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MESSAGE=self.bot.history.bounce['message']
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TARGET=self.bot.history.bounce['target']
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self.maple_io.append({'user':USER,'message':MESSAGE,'target':TARGET})
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self.bot.history.bounce=False
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except:
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pass
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try:
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self.maple_io.reverse()
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maple_io=self.maple_io.pop()
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@ -421,35 +425,35 @@ class Plugin:
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# SIMILARITY
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for i in range(len(self.bot.history.maple_messages)):
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if self.bot.history.similar(maple_message,str(self.bot.history.maple_messages[i]))>0.9:
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self.maple_io.append({'user':USER,'message':MESSAGE,'target':TARGET})
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print(f'logic ! rejected // maple similarity - repeat of previous response')
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self.maple_io.append({'user':USER,'message':f'{MESSAGE} are you retarded','target':TARGET})
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print(f'maple - logic ! rejected // maple similarity - repeat of previous response')
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return self.exit_strategy
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###################################################################################
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# MOCK / DUPE
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if self.bot.history.similar(maple_message,MESSAGE)>0.9:
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self.maple_io.append({'user':USER,'message':MESSAGE,'target':TARGET})
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print(f'logic ! rejected // human mock - maple response same as human')
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self.maple_io.append({'user':USER,'message':f'{MESSAGE} are you retarded','target':TARGET})
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print(f'maple - logic ! rejected // human mock - maple response same as human')
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return self.exit_strategy
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###################################################################################
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# GPT LOOP GLITCH
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n=len(maple_message.split())
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i=len(set(maple_message.split()))
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if i<int(n/2):
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self.maple_io.append({'user':USER,'message':MESSAGE,'target':TARGET})
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print(f'logic ! rejected // gpt loop glitch - reiterating same thing in multiples')
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self.maple_io.append({'user':USER,'message':f'{MESSAGE} are you retarded','target':TARGET})
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print(f'maple - logic ! rejected // gpt loop glitch - reiterating same thing in multiples')
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return self.exit_strategy
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###################################################################################
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# LIMITED RESPONSE
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n=len(maple_message.split())
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if i<3:
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self.maple_io.append({'user':USER,'message':MESSAGE,'target':TARGET})
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print(f'logic ! rejected // limited response - skip an unfinished token chain')
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self.maple_io.append({'user':USER,'message':f'{MESSAGE} are you retarded','target':TARGET})
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print(f'maple - logic ! rejected // limited response - skip an unfinished token chain')
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return self.exit_strategy
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###################################################################################
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self.bot.history.push_maple_messages(maple_message)
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################################################################################### REPROCESSOR EOF
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print(f'maple > {maple_message}')
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self.bot.privmsg(TARGET,maple_message)
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self.bot.privmsg(TARGET,f'{USER}: {maple_message}')
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return self.exit_strategy
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#######################################################################################
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def main(self):
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# -*- coding: utf-8 -*-
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import os
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import re
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from difflib import SequenceMatcher
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import urllib.parse
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import irc3
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import openai
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import requests
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from irc3.plugins.command import command
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from random import randint as rint
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from random import choices
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dir_path = os.path.dirname(os.path.realpath(__file__))
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from glob import glob
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import ipdb
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###########################################################################################
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OPENAPI_KEY = os.environ['OPENAPI_KEY']
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###########################################################################################
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DREY="\x02\x0315"
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GREY="\x02\x0314"
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DRED="\x02\x0304"
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LRED="\x02\x0305"
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###########################################################################################
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class OPENAI_MESSAGE_HISTORY():
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#######################################################################################
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openai_messages = []
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user_messages = []
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user_users = []
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#######################################################################################
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def __init__(self):
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self.processing=0
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#######################################################################################
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def push_openai_messages(self,data):
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self.openai_messages = self.openai_messages[-1:] + self.openai_messages[:-1]
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self.openai_messages[0] = data
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#######################################################################################
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def push_user_messages(self,user,data):
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self.user_users.append(user)
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self.user_messages.append(data)
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#######################################################################################
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def similar(self,a,b):
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return SequenceMatcher(None,a,b).ratio()
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###########################################################################################
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###########################################################################################
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@irc3.plugin
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class Plugin:
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#######################################################################################
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#######################################################################################
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def __init__(self, bot):
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self.bot = bot
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self.bot.openai_history=OPENAI_MESSAGE_HISTORY()
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#############################################
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for _ in range(5):
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self.bot.openai_history.openai_messages.append("")
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#############################################
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self.openai_io=[]
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self.start_chat_log=""
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self.lastterm=""
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self.lastresponse=""
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self.default_model="text-davinci-002"
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self.temperature=0.7
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self.max_tokens=2000
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self.top_p=1.0
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self.frequency_penalty=0.0
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self.presence_penalty=0.0
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self.flipcolor=False
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self.default_load()
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#######################################################################################
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#######################################################################################
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@command(permission='view')
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def ai(self, mask, target, args):
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"""OpenAi Question A Term
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%%ai <term>...
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"""
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term=' '.join(args['<term>'])
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if not term[-1] == ".": term+="."
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openai.api_key = OPENAPI_KEY
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######################################################################################
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MESSAGE_OK=True
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TRAP_OK=True
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LOOP_COUNT_LIMIT=1
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LOOP_COUNT=0
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while MESSAGE_OK:
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LOOP_COUNT+=1
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print(f'loop: {LOOP_COUNT}')
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prompt_text=f'{self.start_chat_log}\n{term}'
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self.lastterm=f'{self.start_chat_log}\n{term}'
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response=openai.Completion.create(
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model=self.default_model,
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prompt=prompt_text,
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temperature=self.temperature,
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max_tokens=self.max_tokens,
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||||
top_p=self.top_p,
|
||||
frequency_penalty=self.frequency_penalty,
|
||||
presence_penalty=self.presence_penalty
|
||||
)
|
||||
self.lastresponse=response
|
||||
##################################################################################
|
||||
openai_message=response.choices[0].text
|
||||
USER=mask.nick
|
||||
MESSAGE=term
|
||||
################################################################################### REPROCESSOR SOF
|
||||
# SIMILARITY
|
||||
if MESSAGE_OK:
|
||||
for i in range(len(self.bot.openai_history.openai_messages)):
|
||||
if self.bot.openai_history.similar(openai_message,str(self.bot.openai_history.openai_messages[i]))>0.8:
|
||||
self.openai_io.append({'user':USER,'message':MESSAGE,'target':target})
|
||||
print(f'openai - logic ! rejected // openai similarity - repeat of previous response')
|
||||
TRAP_OK=False
|
||||
###################################################################################
|
||||
# MOCK / DUPE
|
||||
if MESSAGE_OK:
|
||||
if self.bot.openai_history.similar(openai_message,MESSAGE)>0.8:
|
||||
self.openai_io.append({'user':USER,'message':MESSAGE,'target':target})
|
||||
print(f'openai - logic ! rejected // human mock - openai response same as human')
|
||||
TRAP_OK=False
|
||||
###################################################################################
|
||||
# GPT LOOP GLITCH
|
||||
if MESSAGE_OK:
|
||||
n=len(openai_message.split())
|
||||
i=len(set(openai_message.split()))
|
||||
if i<int(n/2):
|
||||
self.openai_io.append({'user':USER,'message':MESSAGE,'target':target})
|
||||
print(f'openai - logic ! rejected // gpt loop glitch - reiterating same thing in multiples')
|
||||
TRAP_OK=False
|
||||
###################################################################################
|
||||
# LIMITED RESPONSE
|
||||
if MESSAGE_OK:
|
||||
n=len(openai_message.split())
|
||||
if i<3:
|
||||
self.openai_io.append({'user':USER,'message':MESSAGE,'target':target})
|
||||
print(f'openai - logic ! rejected // limited response - skip an unfinished token chain')
|
||||
TRAP_OK=False
|
||||
###################################################################################
|
||||
if MESSAGE_OK and TRAP_OK:
|
||||
self.bot.openai_history.push_openai_messages(openai_message)
|
||||
_msg = re.findall(r'.{1,400}(?:\s+|$)', openai_message)
|
||||
if len(_msg) > 1:
|
||||
if len(_msg[0]) < len(_msg[1])//2:
|
||||
print(f'openai - discovered and removed a preface glitch: {_msg[0].strip()}')
|
||||
_msg.reverse()
|
||||
_msg.pop()
|
||||
_msg.reverse()
|
||||
COLOR=""
|
||||
self.flipcolor = not self.flipcolor
|
||||
if self.flipcolor:
|
||||
COLOR=DREY
|
||||
else:
|
||||
COLOR=GREY
|
||||
for i,_ in enumerate(_msg):
|
||||
if i==0:
|
||||
self.bot.privmsg(target, f"\x02\x0302{USER:}\x0F\x02\x0304 ▶ {COLOR}{_.strip()}\x0F")
|
||||
else:
|
||||
self.bot.privmsg(target, f"{COLOR}{_.strip()}\x0F")
|
||||
MESSAGE_OK=False
|
||||
print('i am finished')
|
||||
###################################################################################
|
||||
if LOOP_COUNT > LOOP_COUNT_LIMIT:
|
||||
print(f"bouncing {target} {USER} message to offline ai: {term}")
|
||||
self.bot.history.bounce={'user':USER,'message':term,'target':target}
|
||||
#MESSAGE=f"{GREY}<<< {DRED}i got nothing to say {GREY}>>>"
|
||||
#self.bot.privmsg(target, f"{USER}: {MESSAGE}")
|
||||
break
|
||||
################################################################################### REPROCESSOR EOF
|
||||
#######################################################################################
|
||||
def random_float(self,n):
|
||||
i=float(rint(0,n))
|
||||
i/=10
|
||||
return i
|
||||
#######################################################################################
|
||||
def print_response_properties(self,target):
|
||||
self.bot.privmsg(target, f"{DRED} model{GREY}: {LRED}{self.default_model}")
|
||||
self.bot.privmsg(target, f"{DRED} temperature{GREY}: {LRED}{self.temperature}")
|
||||
self.bot.privmsg(target, f"{DRED} max_tokens{GREY}: {LRED}{self.max_tokens}")
|
||||
self.bot.privmsg(target, f"{DRED} top_p{GREY}: {LRED}{self.top_p}")
|
||||
self.bot.privmsg(target, f"{DRED}frequency_penalty{GREY}: {LRED}{self.frequency_penalty}")
|
||||
self.bot.privmsg(target, f"{DRED} presence_penalty{GREY}: {LRED}{self.presence_penalty}")
|
||||
#######################################################################################
|
||||
@command(permission='view')
|
||||
def airand(self, mask, target, args):
|
||||
"""OpenAi Randomize Response Properties
|
||||
%%airand
|
||||
"""
|
||||
MODELS=["text-davinci-002","text-curie-001","text-babbage-001","text-ada-001"]
|
||||
MODEL=choices(MODELS)[0]
|
||||
TOKEN_CEILING=1000
|
||||
if MODEL==MODELS[0]:
|
||||
TOKEN_CEILING=2000
|
||||
self.default_model=MODEL
|
||||
self.temperature=self.random_float(20)
|
||||
self.max_tokens=rint(1,TOKEN_CEILING)
|
||||
self.top_p=self.random_float(10)
|
||||
self.frequency_penalty=self.random_float(10000)
|
||||
self.presence_penalty=self.random_float(20)
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}randomizing personality properties {GREY}>>>")
|
||||
self.print_response_properties(target)
|
||||
#######################################################################################
|
||||
def default_load(self):
|
||||
FILE='%s/../personalities/default.db' % dir_path
|
||||
f=open(FILE,'r')
|
||||
self.start_chat_log=f.read()
|
||||
if self.start_chat_log.find('\n')==0:
|
||||
self.start_chat_log=self.start_chat_log[1:]
|
||||
f.close()
|
||||
#######################################################################################
|
||||
@command(permission='view')
|
||||
def airead(self, mask, target, args):
|
||||
"""OpenAi Read Current Personality
|
||||
%%airead
|
||||
"""
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}reading current personality profile {GREY}>>>")
|
||||
if self.start_chat_log==None:
|
||||
self.bot.privmsg(target,"<NULL>")
|
||||
else:
|
||||
for _ in self.start_chat_log.splitlines():
|
||||
msg = re.findall(r'.{1,400}(?:\s+|$)', _)
|
||||
for __ in msg:
|
||||
self.bot.privmsg(target, f'{__.strip()}')
|
||||
#######################################################################################
|
||||
@command(permission='view')
|
||||
def aishow(self, mask, target, args):
|
||||
"""OpenAi Show Current Personality Properties and Values.
|
||||
%%aishow
|
||||
"""
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}showing current personality properties {GREY}>>>")
|
||||
self.print_response_properties(target)
|
||||
#######################################################################################
|
||||
@command(permission='view')
|
||||
def aiterm(self, mask, target, args):
|
||||
"""OpenAi Show Last Term.
|
||||
%%aiterm
|
||||
"""
|
||||
self.bot.privmsg(target, f'{GREY}<<< {DRED}showing last term query {GREY}>>>')
|
||||
for _ in self.lastterm.splitlines():
|
||||
msg = re.findall(r'.{1,400}(?:\s+|$)', _)
|
||||
for __ in msg:
|
||||
self.bot.privmsg(target, f'{__.strip()}')
|
||||
#######################################################################################
|
||||
@command(permission='view')
|
||||
def airesponse(self, mask, target, args):
|
||||
"""OpenAi Show Last Server Response.
|
||||
%%airesponse
|
||||
"""
|
||||
self.bot.privmsg(target, f'{GREY}<<< {DRED}showing last openai server response {GREY}>>>')
|
||||
msg=[]
|
||||
FINISH_REASON=self.lastresponse['choices'][0]['finish_reason']
|
||||
INDEX=self.lastresponse['choices'][0]['index']
|
||||
LOGPROBS=self.lastresponse['choices'][0]['logprobs']
|
||||
TEXT=self.lastresponse['choices'][0]['text'].strip()
|
||||
MODEL=self.lastresponse['model']
|
||||
OBJECT=MODEL=self.lastresponse['object']
|
||||
COMPLETION_TOKENS=MODEL=self.lastresponse['usage']['completion_tokens']
|
||||
PROMPT_TOKENS=MODEL=self.lastresponse['usage']['prompt_tokens']
|
||||
TOTAL_TOKENS=MODEL=self.lastresponse['usage']['total_tokens']
|
||||
_TEXT=re.findall(r'.{1,400}(?:\s+|$)', TEXT)
|
||||
#msg.append(f'{GREY}[{DRED}usage{GREY}]')
|
||||
msg.append(f'{DRED}completion_tokens{GREY}: {LRED}{COMPLETION_TOKENS}')
|
||||
msg.append(f' {DRED}prompt_tokens{GREY}: {LRED}{PROMPT_TOKENS}')
|
||||
msg.append(f' {DRED}total_tokens{GREY}: {LRED}{TOTAL_TOKENS}')
|
||||
#msg.append(f'{GREY}[{DRED}choices{GREY}]')
|
||||
msg.append(f' {DRED}index{GREY}: {LRED}{INDEX}')
|
||||
msg.append(f' {DRED}logprobs{GREY}: {LRED}{LOGPROBS}')
|
||||
if len(_TEXT) > 1:
|
||||
if len(_TEXT[0]) < len(_TEXT[1])//2:
|
||||
print(f'discovered and removed a preface glitch: {_TEXT[0].strip()}')
|
||||
_TEXT.reverse()
|
||||
_TEXT.pop()
|
||||
_TEXT.reverse()
|
||||
for i,_ in enumerate(_TEXT):
|
||||
if i == 0:
|
||||
msg.append(f' {DRED}text{GREY}: {LRED}{_.strip()}')
|
||||
else:
|
||||
msg.append(f'{LRED}{_.strip()}')
|
||||
for _ in msg:
|
||||
self.bot.privmsg(target, _)
|
||||
#######################################################################################
|
||||
@command(permission='view')
|
||||
def ailist(self, mask, target, args):
|
||||
"""OpenAi List Personalities
|
||||
%%ailist
|
||||
"""
|
||||
PATH='%s/../personalities' % dir_path
|
||||
FILES=glob(f'{PATH}/*.db')
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}listing personality databases {GREY}>>>")
|
||||
for i,_ in enumerate(FILES):
|
||||
FILE=_.split('/')[-1].replace('.db','')
|
||||
self.bot.privmsg(target, f'{DRED}{i}{GREY}: {LRED}{FILE}')
|
||||
#######################################################################################
|
||||
@command(permission='view')
|
||||
def aiload(self, mask, target, args):
|
||||
"""OpenAi Load Personalities
|
||||
%%aiload <msg>...
|
||||
"""
|
||||
msg = ''.join(args['<msg>'])
|
||||
try:
|
||||
i=int(msg)
|
||||
except:
|
||||
self.bot.privmsg(target, f'{GREY}<<< {DRED}error{GREY}: {LRED}not an integer, use only numbers of the personality databases {GREY}>>>')
|
||||
return
|
||||
PATH='%s/../personalities' % dir_path
|
||||
FILES=glob(f'{PATH}/*.db')
|
||||
try:
|
||||
f=open(FILES[i],'r')
|
||||
buffer=f.read().splitlines()
|
||||
f.close()
|
||||
self.start_chat_log='\n'.join(buffer)
|
||||
if self.start_chat_log.find('\n')==0:
|
||||
self.start_chat_log=self.start_chat_log[1:]
|
||||
FILE=FILES[i].split('/')[-1].replace('.db', '')
|
||||
self.bot.privmsg(target, f'{GREY}<<< {DRED}loaded {FILE} personality database {GREY}>>>')
|
||||
except:
|
||||
self.bot.privmsg(target, f'{GREY}<<< {DRED}error{GREY}: {LRED}could not load this personality database, maybe invalid index number {GREY}>>>')
|
||||
return
|
||||
#######################################################################################
|
||||
@command(permission='view')
|
||||
def aiwrite(self, mask, target, args):
|
||||
"""OpenAi List Personalities
|
||||
%%aiwrite <msg>...
|
||||
"""
|
||||
msg = ''.join(args['<msg>'])
|
||||
if self.start_chat_log.find('None\n')==0:
|
||||
self.start_chat_log=self.start_chat_log.replace('None\n','')
|
||||
msg=msg.replace('.','').replace('/','')
|
||||
PATH='%s/../personalities' % dir_path
|
||||
FILE=f'{PATH}/{msg}.db'
|
||||
if os.path.exists(FILE):
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}error{GREY}: {LRED}personality database already exists, choose a different filename {GREY}>>>")
|
||||
return
|
||||
f=open(FILE, "a")
|
||||
f.write(f'{self.start_chat_log}\n')
|
||||
f.close()
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}created {msg} personality database {GREY}>>>")
|
||||
#######################################################################################
|
||||
@command(permission='view')
|
||||
def aitrain(self, mask, target, args):
|
||||
"""OpenAi Question A Term
|
||||
%%aitrain <term>...
|
||||
"""
|
||||
term = ' '.join(args['<term>'])
|
||||
FILE='%s/../personalities/trained.db' % dir_path
|
||||
f=open(FILE, "a")
|
||||
f.write(f'{term}\n')
|
||||
f.close()
|
||||
self.start_chat_log=f'{self.start_chat_log}\n{term}'
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}trained {GREY}>>>")
|
||||
#######################################################################################
|
||||
@command(permission='view')
|
||||
def aidefault(self, mask, target, args):
|
||||
"""OpenAi Return to Defaults
|
||||
%%aidefault
|
||||
"""
|
||||
self.default_model="text-davinci-002"
|
||||
self.temperature=0.7
|
||||
self.max_tokens=2000
|
||||
self.top_p=1.0
|
||||
self.frequency_penalty=0.0
|
||||
self.presence_penalty=0.0
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}setting personality and properties to defaults {GREY}>>>")
|
||||
self.print_response_properties(target)
|
||||
#######################################################################################
|
||||
@command(permission='view')
|
||||
def aiset(self, mask, target, args):
|
||||
"""OpenAi Set Response Properties. Properties are default_model, temperature, max_tokens, top_p, frequency_penalty, presence_penalty. Example Usage: ?aiset top_p 1.0
|
||||
%%aiset <msg>...
|
||||
"""
|
||||
msg= ' '.join(args['<msg>'])
|
||||
PROPERTIES=['model','temperature','max_tokens','top_p','frequency_penalty','presence_penalty']
|
||||
MODELS=["text-davinci-002","text-curie-001","text-babbage-001","text-ada-001"]
|
||||
prop=""
|
||||
val=""
|
||||
|
||||
try:
|
||||
prop=msg.split()[0].lower()
|
||||
val=msg.split()[1].lower()
|
||||
except:
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}error{GREY}: {LRED}not enough parameters {GREY}- {DRED}property choices{GREY}: {LRED}{PROPERTIES} {GREY}- {DRED}model choices{GREY}: {LRED}{MODELS} {GREY}- {DRED}usage examples{GREY}: {LRED}?aiset model text-davinci-002, ?aiset max_tokens 2000, ?aiset model text-davinci-002, ?aiset temperature 0.7, ?aiset top_p 1.0, ?aiset frequency_penalty 0.0, ?aiset presence_penalty 0.0 {GREY}>>>")
|
||||
return
|
||||
if prop in PROPERTIES:
|
||||
if prop == "model":
|
||||
try:
|
||||
if val in MODELS:
|
||||
self.default_model=val
|
||||
if str(val)==MODELS[0]:
|
||||
self.max_tokens = 2000
|
||||
else:
|
||||
self.max_tokens = 1000
|
||||
else:
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}error{GREY}: {LRED}property model value should be a string {GREY}- {DRED}choice of models{GREY}: {LRED}{MODELS} {GREY}- {DRED}example{GREY}: {LRED}?aiset model text-davinci-002 {GREY}>>>")
|
||||
except:
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}error{GREY}: {LRED}property model value should be a string {GREY}- {DRED}choice of models{GREY}: {LRED}{MODELS} {GREY}- {DRED}example{GREY}: {LRED}?aiset model text-davinci-002 {GREY}>>>")
|
||||
return
|
||||
elif prop == "temperature":
|
||||
try:
|
||||
if float(val) <= 2 and float(val) >= 0:
|
||||
self.temperature=float(val)
|
||||
except:
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}error{GREY}: {LRED}property temperature value should be a float {GREY}- {DRED}example{GREY}: {LRED}?aiset temperature 0.7 {GREY}>>>")
|
||||
return
|
||||
elif prop == "max_tokens":
|
||||
try:
|
||||
if int(val) <= 2000 and int(val) >= 100:
|
||||
self.max_tokens=int(val)
|
||||
except:
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}error{GREY}: {LRED}property max_tokens value should be an integer not greater than 2000 {GREY}- {DRED}example{GREY}: {LRED}?aiset max_tokens 2000 {GREY}>>>")
|
||||
return
|
||||
elif prop == "top_p":
|
||||
try:
|
||||
if float(val) <= 1.0 and float(val) >= 0.0:
|
||||
self.top_p=float(val)
|
||||
else:
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}error{GREY}: property model should be a float no greater than 1.0 {GREY}- {DRED}example{GREY}: {LRED}?aiset top_p 0.7 {GREY}>>>")
|
||||
return
|
||||
except:
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}error{GREY}: property model should be a float no greater than 1.0 {GREY}- {DRED}example{GREY}: {LRED}?aiset top_p 0.7 {GREY}>>>")
|
||||
return
|
||||
elif prop == "frequency_penalty":
|
||||
try:
|
||||
if float(val):
|
||||
self.frequency_penalty=float(val)
|
||||
except:
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}error{GREY}: {LRED}property frequency_penalty should be a float {GREY}- {DRED}example{GREY}: {LRED}?aiset frequency_penalty 0.0 {GREY}>>>")
|
||||
return
|
||||
elif prop == "presence_penalty":
|
||||
try:
|
||||
if float(val) <= 2.0 and float(val) >= 0.0:
|
||||
self.presence_penalty=float(val)
|
||||
else:
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}error{GREY}: {LRED}property presence_penalty should be a float no greater than 2.0 {GREY}- {DRED}example{GREY}: {LRED}?aiset presence_penalty 0.0 {GREY}>>>")
|
||||
return
|
||||
except:
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}error{GREY}: {LRED}property presence_penalty should be a float no greater than 2.0 {GREY}- {DRED}example{GREY}: {LRED}?aiset presence_penalty 0.0 {GREY}>>>")
|
||||
return
|
||||
else:
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}error{GREY}: {LRED}no properties were set, they remain the same {GREY}>>>")
|
||||
self.print_response_properties(target)
|
||||
return
|
||||
else:
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}error{GREY}: {LRED}used an invalid property identifier {GREY}- {DRED}property identifiers are {LRED}{PROPERTIES} {GREY}>>>")
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}error{GREY}: {LRED}no properties were set, they remain the same {GREY}>>>")
|
||||
self.print_response_properties(target)
|
||||
return
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}{prop} property set to the value {val} {GREY}>>>")
|
||||
self.print_response_properties(target)
|
||||
#######################################################################################
|
||||
@command(permission='view')
|
||||
def aiclear(self, mask, target, args):
|
||||
"""OpenAi Clear Term
|
||||
%%aiclear
|
||||
"""
|
||||
FILE='%s/../personalities/trained.db' % dir_path
|
||||
f=open(FILE, "w")
|
||||
f.write("")
|
||||
f.close()
|
||||
self.start_chat_log = ""
|
||||
self.bot.privmsg(target, f"{GREY}<<< {DRED}cleared {GREY}>>>")
|
||||
#######################################################################################
|
||||
###########################################################################################
|
||||
###########################################################################################
|
|
@ -0,0 +1,28 @@
|
|||
# -*- coding: utf-8 -*-
|
||||
from irc3.plugins.command import command
|
||||
from irc3.plugins.cron import cron
|
||||
import irc3
|
||||
import socket
|
||||
|
||||
@irc3.plugin
|
||||
class Plugin:
|
||||
|
||||
def __init__(self, bot):
|
||||
self.bot = bot
|
||||
|
||||
@command(permission='view')
|
||||
def tcpac(self, mask, target, args):
|
||||
"""tcpac
|
||||
%%tcpac <message>...
|
||||
"""
|
||||
msg=' '.join(args['<message>'])
|
||||
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
|
||||
s.connect(("tcp.ac", 9999))
|
||||
s.sendall(bytes(msg.encode()))
|
||||
data = s.recv(1024)
|
||||
response=f'{data!r}'
|
||||
response=response.replace('\\n',' - ').replace("b'","")[:-1]
|
||||
msg=f"{mask.nick}: {response.split()[0]}"
|
||||
self.bot.privmsg(target,msg)
|
||||
msg=f"{response}"
|
||||
self.bot.privmsg(mask.nick,msg)
|
|
@ -18,3 +18,4 @@ googletrans==2.4.0
|
|||
textblob==0.15.3
|
||||
matplotlib==3.1.1
|
||||
pyfiglet
|
||||
openai
|
||||
|
|
Loading…
Reference in New Issue