68 lines
2.0 KiB
Python
Executable File
68 lines
2.0 KiB
Python
Executable File
import discord
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from discord import option
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from discord.ext import commands
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class Gpt(commands.Cog):
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def __init__(self, bot):
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self.bot: commands.Bot = bot
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@commands.slash_command(
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guld_ids=None,
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name="gpt",
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description="Talk to an LLM",
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)
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@option(name="question", description="The question to ask", required=True)
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@option(
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name="temperature", description="I dunno", min_value=0, max_value=1, default=0.1
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)
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@option(name="top_p", description="I dunno", min_value=0, max_value=1, default=0.75)
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@option(name="top_k", description="I dunno", min_value=0, max_value=100, default=40)
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@option(name="beams", description="I dunno", min_value=0, max_value=4, default=4)
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@option(
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name="tokens", description="I dunno", min_value=1, max_value=512, default=128
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)
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async def gpt(
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self,
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ctx,
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question: str,
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temperature: int,
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top_p: int,
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top_k: int,
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beams: int,
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tokens: int,
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):
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import requests
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await ctx.defer()
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response = requests.post(
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"https://tloen-alpaca-lora.hf.space/run/predict",
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json={
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"data": [
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question,
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"You live in California in Silicon valley. You are a computer program that is running in a kubernetes cluster. The cluster is comprised of 3 Thinkcentre M92p tiny computers. Your hobbies include racing cars, eating ice cream, and petting dogs.",
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float(temperature),
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float(top_p),
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float(top_k),
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int(beams),
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int(tokens),
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]
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},
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).json()
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data = response["data"][0]
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embed = discord.Embed(
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description=data,
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color=discord.Color.green(),
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type="rich",
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)
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embed.set_author(name="You asked me: %s" % question)
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await ctx.followup.send(embed=embed)
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def setup(bot):
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bot.add_cog(Gpt(bot))
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