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9a79afcdbf
* DEV: Better strategies for summarization The strategy responsibility needs to be "Given a collection of texts, I know how to summarize them most efficiently, using the minimum amount of requests and maximizing token usage". There are different token limits for each model, so it all boils down to two different strategies: Fold all these texts into a single one, doing the summarization in chunks, and then build a summary from those. Build it by combining texts in a single prompt, and truncate it according to your token limits. While the latter is less than ideal, we need it for "bart-large-cnn-samsum" and "flan-t5-base-samsum", both with low limits. The rest will rely on folding. * Expose summarized chunks to users
63 lines
1.7 KiB
Ruby
63 lines
1.7 KiB
Ruby
# frozen_string_literal: true
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module DiscourseAi
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module Summarization
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module Models
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class Discourse < Base
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def display_name
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"Discourse AI's #{model}"
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end
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def correctly_configured?
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SiteSetting.ai_summarization_discourse_service_api_endpoint.present? &&
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SiteSetting.ai_summarization_discourse_service_api_key.present?
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end
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def configuration_hint
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I18n.t(
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"discourse_ai.summarization.configuration_hint",
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count: 2,
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settings:
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"ai_summarization_discourse_service_api_endpoint, ai_summarization_discourse_service_api_key",
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)
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end
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def concatenate_summaries(summaries)
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completion(summaries.join("\n"))
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end
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def summarize_with_truncation(contents, opts)
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text_to_summarize = contents.map { |c| format_content_item(c) }.join
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truncated_content =
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::DiscourseAi::Tokenizer::BertTokenizer.truncate(text_to_summarize, max_tokens)
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completion(truncated_content)
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end
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private
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def summarize_chunk(chunk_text, _opts)
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completion(chunk_text)
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end
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def reserved_tokens
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0
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end
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def completion(prompt)
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::DiscourseAi::Inference::DiscourseClassifier.perform!(
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"#{SiteSetting.ai_summarization_discourse_service_api_endpoint}/api/v1/classify",
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model,
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prompt,
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SiteSetting.ai_summarization_discourse_service_api_key,
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).dig(:summary_text)
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end
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def tokenizer
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DiscourseAi::Tokenizer::BertTokenizer
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end
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end
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end
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end
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end
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