mirror of
https://github.com/discourse/discourse-ai.git
synced 2025-10-30 22:18:38 +00:00
124 lines
3.6 KiB
Ruby
124 lines
3.6 KiB
Ruby
# frozen_string_literal: true
|
|
|
|
module DiscourseAi
|
|
module Summarization
|
|
module Models
|
|
class Llama2 < Base
|
|
def display_name
|
|
"Llama2's #{SiteSetting.ai_hugging_face_model_display_name.presence || model}"
|
|
end
|
|
|
|
def correctly_configured?
|
|
SiteSetting.ai_hugging_face_api_url.present?
|
|
end
|
|
|
|
def configuration_hint
|
|
I18n.t(
|
|
"discourse_ai.summarization.configuration_hint",
|
|
count: 1,
|
|
setting: "ai_hugging_face_api_url",
|
|
)
|
|
end
|
|
|
|
def concatenate_summaries(summaries, &on_partial_blk)
|
|
prompt = <<~TEXT
|
|
[INST] <<SYS>>
|
|
You are a helpful bot
|
|
<</SYS>>
|
|
|
|
Concatenate these disjoint summaries, creating a cohesive narrative:
|
|
#{summaries.join("\n")} [/INST]
|
|
TEXT
|
|
|
|
completion(prompt, &on_partial_blk)
|
|
end
|
|
|
|
def summarize_with_truncation(contents, opts, &on_partial_blk)
|
|
text_to_summarize = contents.map { |c| format_content_item(c) }.join
|
|
truncated_content = tokenizer.truncate(text_to_summarize, available_tokens)
|
|
|
|
prompt = <<~TEXT
|
|
[INST] <<SYS>>
|
|
#{build_base_prompt(opts)}
|
|
<</SYS>>
|
|
|
|
Summarize the following in up to 400 words:
|
|
#{truncated_content} [/INST]
|
|
Here is a summary of the above topic:
|
|
TEXT
|
|
|
|
completion(prompt, &on_partial_blk)
|
|
end
|
|
|
|
def summarize_single(chunk_text, opts, &on_partial_blk)
|
|
summarize_chunk(chunk_text, opts.merge(single_chunk: true), &on_partial_blk)
|
|
end
|
|
|
|
private
|
|
|
|
def summarize_chunk(chunk_text, opts, &on_partial_blk)
|
|
summary_instruction =
|
|
if opts[:single_chunk]
|
|
"Summarize the following forum discussion, creating a cohesive narrative:"
|
|
else
|
|
"Summarize the following in up to 400 words:"
|
|
end
|
|
|
|
prompt = <<~TEXT
|
|
[INST] <<SYS>>
|
|
#{build_base_prompt(opts)}
|
|
<</SYS>>
|
|
|
|
#{summary_instruction}
|
|
#{chunk_text} [/INST]
|
|
Here is a summary of the above topic:
|
|
TEXT
|
|
|
|
completion(prompt, &on_partial_blk)
|
|
end
|
|
|
|
def build_base_prompt(opts)
|
|
base_prompt = <<~TEXT
|
|
You are a summarization bot.
|
|
You effectively summarise any text and reply ONLY with ONLY the summarized text.
|
|
You condense it into a shorter version.
|
|
You understand and generate Discourse forum Markdown.
|
|
TEXT
|
|
|
|
if opts[:resource_path]
|
|
base_prompt +=
|
|
"Try generating links as well the format is #{opts[:resource_path]}. eg: [ref](#{opts[:resource_path]}/77)\n"
|
|
end
|
|
|
|
base_prompt += "The discussion title is: #{opts[:content_title]}.\n" if opts[
|
|
:content_title
|
|
]
|
|
|
|
base_prompt
|
|
end
|
|
|
|
def completion(prompt, &on_partial_blk)
|
|
if on_partial_blk
|
|
on_partial_read =
|
|
Proc.new { |partial| on_partial_blk.call(partial.dig(:token, :text).to_s) }
|
|
|
|
::DiscourseAi::Inference::HuggingFaceTextGeneration.perform!(
|
|
prompt,
|
|
model,
|
|
&on_partial_read
|
|
)
|
|
else
|
|
::DiscourseAi::Inference::HuggingFaceTextGeneration.perform!(prompt, model).dig(
|
|
:generated_text,
|
|
)
|
|
end
|
|
end
|
|
|
|
def tokenizer
|
|
DiscourseAi::Tokenizer::Llama2Tokenizer
|
|
end
|
|
end
|
|
end
|
|
end
|
|
end
|