refactor: move main appart from config + storyteller
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parent
01efd5e597
commit
9de4a203d4
4 changed files with 225 additions and 199 deletions
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@ -4,8 +4,7 @@ require "colorize"
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module Builder
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class OpenAIInsert
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alias Message = NamedTuple(role: String, content: String)
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alias Chat = Array(Message)
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alias InsertBuffer = NamedTuple(before: String, after: String)
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getter verbose : Bool
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def initialize(@verbose)
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@ -14,8 +13,8 @@ module Builder
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# skip prelude_zone
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# skip future_zone
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def build(prompt : Prompt) : Chat
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chat = [] of Message
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def build(prompt : Prompt) : InsertBuffer
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insert_data : InsertBuffer = { before: "", after: "" }
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token_limit = 2_900
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mandatory_token_count = (
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@ -25,7 +24,7 @@ module Builder
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## Build mandatory system messages
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prompt.system_zone.each do |content|
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chat << { role: "system", content: content }
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insert_data["before"] += content
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end
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## Build mandatory system messages
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@ -29,7 +29,7 @@ module Builder
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end
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if ! prompt.present_zone.content.empty?
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str += "@@current".colorize(:yellow).to_s
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# str += "@@current".colorize(:yellow).to_s
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str += prompt.present_zone.content.join(SEPARATOR).colorize(:light_cyan).to_s
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end
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197
src/main.cr
197
src/main.cr
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@ -8,199 +8,10 @@ require "./parsers/prompt_string"
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require "./builders/prompt_string"
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require "./builders/openai_chat"
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require "./builders/openai_insert"
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require "./storyteller"
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class Storyteller
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enum OpenAIMode
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Chat
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Complete
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Insert
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def self.from_s(str_mode)
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return OpenAIMode.values.find do |openai_mode|
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openai_mode.to_s.downcase == str_mode.downcase
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end
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end
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end
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def initialize()
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end
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def self.start(argv)
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input_file = STDIN
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input_file_path = ""
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output_file = STDOUT
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output_file_path = ""
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past_characters_limit = 1000
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use_color = true
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make_request = true
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gpt_mode = OpenAIMode::Chat
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verbose = false
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gpt_temperature = 0.82
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gpt_presence_penalty = 1
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gpt_frequency_penalty = 1
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gpt_max_tokens = 256
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parser = OptionParser.new do |parser|
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parser.banner = "Usage: storyteller [options]"
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parser.separator("Options:")
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storyteller = Storyteller.new()
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storyteller.prepare()
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storyteller.run()
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parser.on("-i FILE", "--input=FILE", "Path to input file") do |file|
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input_file_path = file
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end
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parser.on("-h", "--help", "Show this help") do
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puts parser
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exit
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end
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parser.on("-n", "--no-color", "Disable color output") do
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use_color = false
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end
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parser.on("-o FILE", "--output=FILE", "Path to output file") do |file|
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use_color = false
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output_file_path = file
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end
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parser.on("-v", "--verbose", "Be verbose (cumulative)") do
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verbose = true
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end
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parser.on("--dry-run", "Don't call the API") do
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make_request = false
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end
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parser.separator("GPT options")
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parser.on("--gpt-mode MODE", "GPT mode (chat,insert,complete) (default: chat)") do |chosen_mode|
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result_mode = OpenAIMode.from_s(chosen_mode.downcase)
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if result_mode.nil?
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STDERR.puts "ERROR: unknown mode #{chosen_mode}"
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exit 1
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end
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gpt_mode = result_mode unless result_mode.nil?
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end
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parser.on("--gpt-temperature TEMPERATURE", "GPT Temperature") do |temperature|
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gpt_temperature = temperature
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end
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parser.on("--gpt-presence-penalty PENALTY", "GPT Presence Penalty") do |presence_penalty|
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gpt_presence_penalty = presence_penalty
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end
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parser.on("--gpt-frequency-penalty PENALTY", "GPT Frequency Penalty") do |frequency_penalty|
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gpt_frequency_penalty = frequency_penalty
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end
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parser.on("--gpt-max-tokens TOKENS", "GPT Max Tokens") do |max_tokens|
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gpt_max_tokens = max_tokens
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end
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end
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parser.parse(ARGV)
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# Create Storyteller instance
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storyteller = Storyteller.new()
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# Read file and initialize zones
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if !input_file_path.empty?
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# puts "d: Using input file #{input_file_path}"
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input_file = File.open(input_file_path)
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end
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prompt = storyteller.read_file(input_file)
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input_file.close
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# Build GPT-3 request
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prompt = storyteller.complete(prompt, make_request, verbose)
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pp prompt if verbose
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exit 0 if !make_request
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if !output_file_path.empty?
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# puts "d: Using output file #{input_file_path}"
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output_file = File.open(output_file_path, "w")
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end
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storyteller.write_file(output_file, prompt, use_color)
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output_file.close
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rescue ex : OptionParser::InvalidOption
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STDERR.puts parser
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STDERR.puts "\nERROR: #{ex.message}"
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exit 1
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end
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def complete(prompt : Prompt, make_request : Bool, verbose : Bool)
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builder = Builder::OpenAIChat.new(verbose: verbose)
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messages = builder.build(prompt)
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STDERR.puts messages if verbose
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return prompt if !make_request
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channel_ready = Channel(Bool).new
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channel_tick = Channel(Bool).new
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# sp = Spin.new(0.5, Spinner::Charset[:progress])
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spawn do
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tick = 0
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loop do
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tick += 1
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print "."
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if tick > (3 * 60)
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print "(timeout)"
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exit 1
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end
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channel_tick.send(true)
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sleep 1.seconds
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end
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end
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spawn do
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openai = OpenAI::Client.new(access_token: ENV.fetch("OPENAI_API_KEY"))
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result = openai.chat(
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"gpt-3.5-turbo",
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messages,
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{
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"temperature" => 0.82,
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"presence_penalty" => 1,
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"frequency_penalty" => 1,
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"max_tokens" => 256
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}
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)
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prompt.past_zone.content << "\n" + result.choices.first["message"]["content"] + "\n"
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channel_ready.send(true)
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end
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# sp.start
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channel_ready.receive
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channel_ready.close
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# sp.stop
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prompt
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end
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def read_file(input_file : IO::FileDescriptor)
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content = input_file.gets_to_end
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# puts "d: building parser"
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parser = Parser::PromptString.new
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# puts "d: parsing"
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prompt = parser.parse(content)
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# pp prompt
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end
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def write_file(output_file : IO::FileDescriptor, prompt : Prompt, use_color : Bool)
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# STDERR.puts "d: building builder"
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builder = Builder::PromptString.new(use_color)
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# STDERR.puts "d: building"
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text = builder.build(prompt)
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output_file.write_string(text.to_slice)
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end
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def display_completion(completion : String)
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# Code pour afficher la complétion
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end
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end
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Storyteller.start(ARGV)
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216
src/storyteller.cr
Normal file
216
src/storyteller.cr
Normal file
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@ -0,0 +1,216 @@
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enum OpenAIMode
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Chat
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Complete
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Insert
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def self.from_s(str_mode)
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return OpenAIMode.values.find do |openai_mode|
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openai_mode.to_s.downcase == str_mode.downcase
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end
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end
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end
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class GptConfig
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# defaults
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property gpt_temperature = 0.82
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property gpt_presence_penalty = 1
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property gpt_frequency_penalty = 1
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property gpt_max_tokens = 256
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property gpt_mode = OpenAIMode::Chat
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end
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class AppConfig
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property input_file = STDIN
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property input_file_path = ""
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property output_file = STDOUT
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property output_file_path = ""
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property past_characters_limit = 1000
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property use_color = true
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property make_request = true
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property verbose = false
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property gpt_config = GptConfig.new
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end
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class Storyteller
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property config = AppConfig.new
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def initialize()
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end
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def prepare()
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self._parse_config()
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self._parse_command_line(ARGV)
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end
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private def _parse_config()
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end
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private def _parse_command_line(args)
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parser = OptionParser.new do |parser|
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parser.banner = "Usage: storyteller [options]"
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parser.separator("Options:")
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parser.on("-i FILE", "--input=FILE", "Path to input file") do |file|
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@config.input_file_path = file
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end
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parser.on("-h", "--help", "Show this help") do
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puts parser
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exit
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end
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parser.on("-n", "--no-color", "Disable color output") do
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@config.use_color = false
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end
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parser.on("-o FILE", "--output=FILE", "Path to output file") do |file|
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@config.use_color = false
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@config.output_file_path = file
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end
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parser.on("-v", "--verbose", "Be verbose (cumulative)") do
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@config.verbose = true
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end
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parser.on("--dry-run", "Don't call the API") do
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@config.make_request = false
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end
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parser.separator("GPT options")
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parser.on("--gpt-mode MODE", "GPT mode (chat,insert,complete) (default: chat)") do |chosen_mode|
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result_mode = OpenAIMode.from_s(chosen_mode.downcase)
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if result_mode.nil?
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STDERR.puts "ERROR: unknown mode #{chosen_mode}"
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exit 1
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end
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gpt_mode = result_mode unless result_mode.nil?
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end
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parser.on("--gpt-temperature TEMPERATURE", "GPT Temperature") do |temperature|
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gpt_temperature = temperature
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end
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parser.on("--gpt-presence-penalty PENALTY", "GPT Presence Penalty") do |presence_penalty|
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gpt_presence_penalty = presence_penalty
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end
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parser.on("--gpt-frequency-penalty PENALTY", "GPT Frequency Penalty") do |frequency_penalty|
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gpt_frequency_penalty = frequency_penalty
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end
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parser.on("--gpt-max-tokens TOKENS", "GPT Max Tokens") do |max_tokens|
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gpt_max_tokens = max_tokens
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end
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end
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parser.parse(args)
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end
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def load_file()
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# Read file and initialize zones
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if !@config.input_file_path.empty?
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# puts "d: Using input file #{input_file_path}"
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@config.input_file = File.open(@config.input_file_path)
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end
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prompt = self.read_file(@config.input_file)
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@config.input_file.close
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prompt
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end
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def run()
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original_prompt = self.load_file()
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# Build GPT-3 request
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prompt = self.complete(original_prompt, @config.make_request, @config.verbose)
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pp prompt if @config.verbose
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exit 0 if !@config.make_request
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if !@config.output_file_path.empty?
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# puts "d: Using output file #{input_file_path}"
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@config.output_file = File.open(@config.output_file_path, "w")
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end
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self.write_file(@config.output_file, prompt, @config.use_color)
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@config.output_file.close
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# rescue ex : OptionParser::InvalidOption
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# STDERR.puts @parser
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# STDERR.puts "\nERROR: #{ex.message}"
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# exit 1
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# rescue ex: OpenAI::Client::ClientError
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# STDERR.puts "ERROR: #{ex.message}"
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# exit 1
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end
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def complete(prompt : Prompt, make_request : Bool, verbose : Bool)
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builder = Builder::OpenAIChat.new(verbose: verbose)
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messages = builder.build(prompt)
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STDERR.puts messages if verbose
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return prompt if !make_request
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channel_ready = Channel(Bool).new
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channel_tick = Channel(Bool).new
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# sp = Spin.new(0.5, Spinner::Charset[:progress])
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spawn do
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tick = 0
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loop do
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tick += 1
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print "."
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if tick > (3 * 60)
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print "(timeout)"
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exit 1
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end
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# channel_tick.send(true)
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sleep 1.seconds
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end
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end
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spawn do
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openai = OpenAI::Client.new(access_token: ENV.fetch("OPENAI_API_KEY"))
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result = openai.chat(
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"gpt-3.5-turbo",
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messages,
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{
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"temperature" => 0.82,
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"presence_penalty" => 1,
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"frequency_penalty" => 1,
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"max_tokens" => 256
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}
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)
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prompt.present_zone.content << result.choices.first["message"]["content"]
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channel_ready.send(true)
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end
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# sp.start
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channel_ready.receive
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channel_ready.close
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# sp.stop
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prompt
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end
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def read_file(input_file : IO::FileDescriptor)
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content = input_file.gets_to_end
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# puts "d: building parser"
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parser = Parser::PromptString.new
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# puts "d: parsing"
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prompt = parser.parse(content)
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# pp prompt
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end
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def write_file(output_file : IO::FileDescriptor, prompt : Prompt, use_color : Bool)
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# STDERR.puts "d: building builder"
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builder = Builder::PromptString.new(use_color)
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# STDERR.puts "d: building"
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text = builder.build(prompt)
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output_file.write_string(text.to_slice)
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end
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def display_completion(completion : String)
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# Code pour afficher la complétion
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end
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end
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