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Contents
# frozen_string_literal: true
module Appydave
module Tools
module YoutubeAutomation
# GPT Agent interacts with OpenAI's GPT API to generate responses based on prompts for YouTube automation.
class GptAgent
include Appydave::Tools::Configuration::Configurable
def initialize(sequence, debug: false)
@sequence = sequence
@debug = debug
@prompts_path = '/Users/davidcruwys/Library/CloudStorage/Dropbox/team-tldr/_common/raw_prompts'
end
def run
step = config.youtube_automation.get_sequence(@sequence)
unless step
puts "Error: Step #{@sequence} not found in the configuration."
exit 1
end
prompt_content = read_prompt(step)
puts "Running sequence: #{@sequence}"
puts "Prompt file: #{prompt_file}"
puts "Prompt content:\n#{prompt_content}" if @debug
response = run_prompt(prompt_content)
puts "Response:\n#{response}"
save_response(prompt_file, response)
end
private
def read_prompt(_step)
File.read(filename)
rescue Errno::ENOENT
puts "Error: Prompt file #{filename} not found."
exit 1
end
def run_prompt(prompt_content)
client = OpenAI::Client.new(access_token: ENV.fetch('OPENAI_ACCESS_TOKEN', nil))
response = client.completions(
engine: 'davinci-codex',
prompt: prompt_content,
max_tokens: 1000
)
response['choices'][0]['text'].strip
rescue StandardError => e
puts "Error: Failed to run prompt. #{e.message}"
exit 1
end
def save_response(filename, response)
output_filename = filename.gsub('.md', '-output.md')
File.write(output_filename, response)
puts "Response saved to #{output_filename}"
end
end
end
end
end
Version data entries
20 entries across 20 versions & 1 rubygems