Sam Saffron
db11fe391d
Previous to this change our results were ungrounded and simpler models like GPT 3.5 and claude had a real tough time figuring out how to run commands This splits responses into 2 phases: Phase 1: figure out if you need to run a command Phase 2: respond to user This seems to produce better results on both Claude and GPT 3.5 but still needs a fair bit of tuning.
56 lines
1.1 KiB
Ruby
56 lines
1.1 KiB
Ruby
#frozen_string_literal: true
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module DiscourseAi::AiBot::Commands
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class ImageCommand < Command
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class << self
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def name
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"image"
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end
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def desc
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"!image DESC - renders an image from the description (remove all connector words, keep it to 40 words or less, be creative)"
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end
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end
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def result_name
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"results"
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end
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def description_args
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{ prompt: @args || 0 }
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end
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def chain_next_response
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false
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end
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def post_raw_details
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"#{super}\n\n#{@last_custom_raw}"
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end
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def process
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prompt = @args
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results = DiscourseAi::Inference::StabilityGenerator.perform!(prompt)
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uploads = []
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results[:artifacts].each_with_index do |image, i|
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f = Tempfile.new("v1_txt2img_#{i}.png")
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f.binmode
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f.write(Base64.decode64(image[:base64]))
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f.rewind
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uploads << UploadCreator.new(f, "image.png").create_for(bot_user.id)
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f.unlink
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end
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@last_custom_raw =
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uploads
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.map { |upload| "" }
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.join(" ")
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nil
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end
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end
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end
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