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// Copyright 2020 The Facebook AI Research Team Authors // Copyright 2020-present, the HuggingFace Inc. team. // Copyright 2020 Guillaume Becquin // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // http://www.apache.org/licenses/LICENSE-2.0 // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. //! # Summarization pipeline //! Abstractive summarization of texts based on the BART encoder-decoder architecture //! Include techniques such as beam search, top-k and nucleus sampling, temperature setting and repetition penalty. //! By default, the dependencies for this model will be downloaded for a BART model finetuned on CNN/DM. //! Customized BART models can be loaded by overwriting the resources in the configuration. //! The dependencies will be downloaded to the user's home directory, under ~/.cache/.rustbert/bart-cnn //! //! //! ```no_run //!# fn main() -> failure::Fallible<()> { //!# use rust_bert::pipelines::generation::LanguageGenerator; //! use rust_bert::pipelines::summarization::SummarizationModel; //! let mut model = SummarizationModel::new(Default::default())?; //! //! let input = ["In findings published Tuesday in Cornell University's arXiv by a team of scientists //!from the University of Montreal and a separate report published Wednesday in Nature Astronomy by a team //!from University College London (UCL), the presence of water vapour was confirmed in the atmosphere of K2-18b, //!a planet circling a star in the constellation Leo. This is the first such discovery in a planet in its star's //!habitable zone — not too hot and not too cold for liquid water to exist. The Montreal team, led by Björn Benneke, //!used data from the NASA's Hubble telescope to assess changes in the light coming from K2-18b's star as the planet //!passed between it and Earth. They found that certain wavelengths of light, which are usually absorbed by water, //!weakened when the planet was in the way, indicating not only does K2-18b have an atmosphere, but the atmosphere //!contains water in vapour form. The team from UCL then analyzed the Montreal team's data using their own software //!and confirmed their conclusion. This was not the first time scientists have found signs of water on an exoplanet, //!but previous discoveries were made on planets with high temperatures or other pronounced differences from Earth. //!\"This is the first potentially habitable planet where the temperature is right and where we now know there is water,\" //!said UCL astronomer Angelos Tsiaras. \"It's the best candidate for habitability right now.\" \"It's a good sign\", //!said Ryan Cloutier of the Harvard–Smithsonian Center for Astrophysics, who was not one of either study's authors. //!\"Overall,\" he continued, \"the presence of water in its atmosphere certainly improves the prospect of K2-18b being //!a potentially habitable planet, but further observations will be required to say for sure. \" //!K2-18b was first identified in 2015 by the Kepler space telescope. It is about 110 light-years from Earth and larger //!but less dense. Its star, a red dwarf, is cooler than the Sun, but the planet's orbit is much closer, such that a year //!on K2-18b lasts 33 Earth days. According to The Guardian, astronomers were optimistic that NASA's James Webb space //!telescope — scheduled for launch in 2021 — and the European Space Agency's 2028 ARIEL program, could reveal more //!about exoplanets like K2-18b."]; //! //! let output = model.summarize(&input); //!# Ok(()) //!# } //! ``` //! (New sample credits: [WikiNews](https://en.wikinews.org/wiki/Astronomers_find_water_vapour_in_atmosphere_of_exoplanet_K2-18b)) //! //! Example output: \ //! ```no_run //!# let output = //! "Scientists have found water vapour on K2-18b, a planet 110 light-years from Earth. //! This is the first such discovery in a planet in its star's habitable zone. //! The planet is not too hot and not too cold for liquid water to exist." //!# ; //!``` use crate::pipelines::generation::{BartGenerator, GenerateConfig, LanguageGenerator}; use tch::Device; use crate::common::resources::{Resource, RemoteResource}; use crate::bart::{BartModelResources, BartConfigResources, BartVocabResources, BartMergesResources}; /// # Configuration for text summarization /// Contains information regarding the model to load, mirrors the GenerationConfig, with a /// different set of default parameters and sets the device to place the model on. pub struct SummarizationConfig { /// Model weights resource (default: pretrained BART model on CNN-DM) pub model_resource: Resource, /// Config resource (default: pretrained BART model on CNN-DM) pub config_resource: Resource, /// Vocab resource (default: pretrained BART model on CNN-DM) pub vocab_resource: Resource, /// Merges resource (default: pretrained BART model on CNN-DM) pub merges_resource: Resource, /// Minimum sequence length (default: 0) pub min_length: u64, /// Maximum sequence length (default: 20) pub max_length: u64, /// Sampling flag. If true, will perform top-k and/or nucleus sampling on generated tokens, otherwise greedy (deterministic) decoding (default: true) pub do_sample: bool, /// Early stopping flag indicating if the beam search should stop as soon as `num_beam` hypotheses have been generated (default: false) pub early_stopping: bool, /// Number of beams for beam search (default: 5) pub num_beams: u64, /// Temperature setting. Values higher than 1 will improve originality at the risk of reducing relevance (default: 1.0) pub temperature: f64, /// Top_k values for sampling tokens. Value higher than 0 will enable the feature (default: 0) pub top_k: u64, /// Top_p value for [Nucleus sampling, Holtzman et al.](http://arxiv.org/abs/1904.09751). Keep top tokens until cumulative probability reaches top_p (default: 0.9) pub top_p: f64, /// Repetition penalty (mostly useful for CTRL decoders). Values higher than 1 will penalize tokens that have been already generated. (default: 1.0) pub repetition_penalty: f64, /// Exponential penalty based on the length of the hypotheses generated (default: 1.0) pub length_penalty: f64, /// Number of allowed repetitions of n-grams. Values higher than 0 turn on this feature (default: 3) pub no_repeat_ngram_size: u64, /// Number of sequences to return for each prompt text (default: 1) pub num_return_sequences: u64, /// Device to place the model on (default: CUDA/GPU when available) pub device: Device, } impl Default for SummarizationConfig { fn default() -> SummarizationConfig { SummarizationConfig { model_resource: Resource::Remote(RemoteResource::from_pretrained(BartModelResources::BART_CNN)), config_resource: Resource::Remote(RemoteResource::from_pretrained(BartConfigResources::BART_CNN)), vocab_resource: Resource::Remote(RemoteResource::from_pretrained(BartVocabResources::BART_CNN)), merges_resource: Resource::Remote(RemoteResource::from_pretrained(BartMergesResources::BART_CNN)), min_length: 56, max_length: 142, do_sample: false, early_stopping: false, num_beams: 3, temperature: 1.0, top_k: 50, top_p: 1.0, repetition_penalty: 1.0, length_penalty: 1.0, no_repeat_ngram_size: 3, num_return_sequences: 1, device: Device::cuda_if_available(), } } } /// # SummarizationModel to perform summarization pub struct SummarizationModel { model: BartGenerator } impl SummarizationModel { /// Build a new `SummarizationModel` /// /// # Arguments /// /// * `summarization_config` - `SummarizationConfig` object containing the resource references (model, vocabulary, configuration), summarization options and device placement (CPU/GPU) /// /// # Example /// /// ```no_run ///# fn main() -> failure::Fallible<()> { /// use rust_bert::pipelines::summarization::SummarizationModel; /// /// let mut summarization_model = SummarizationModel::new(Default::default())?; ///# Ok(()) ///# } /// ``` /// pub fn new(summarization_config: SummarizationConfig) -> failure::Fallible<SummarizationModel> { let generate_config = GenerateConfig { model_resource: summarization_config.model_resource, config_resource: summarization_config.config_resource, merges_resource: summarization_config.merges_resource, vocab_resource: summarization_config.vocab_resource, min_length: summarization_config.min_length, max_length: summarization_config.max_length, do_sample: summarization_config.do_sample, early_stopping: summarization_config.early_stopping, num_beams: summarization_config.num_beams, temperature: summarization_config.temperature, top_k: summarization_config.top_k, top_p: summarization_config.top_p, repetition_penalty: summarization_config.repetition_penalty, length_penalty: summarization_config.length_penalty, no_repeat_ngram_size: summarization_config.no_repeat_ngram_size, num_return_sequences: summarization_config.num_return_sequences, device: summarization_config.device, }; let model = BartGenerator::new(generate_config)?; Ok(SummarizationModel { model }) } /// Summarize texts provided /// /// # Arguments /// /// * `input` - `&[&str]` Array of texts to summarize. /// /// # Returns /// * `Vec<String>` Summarized texts /// /// # Example /// /// ```no_run ///# fn main() -> failure::Fallible<()> { /// use rust_bert::pipelines::generation::LanguageGenerator; /// use rust_bert::pipelines::summarization::SummarizationModel; /// let mut model = SummarizationModel::new(Default::default())?; /// /// let input = ["In findings published Tuesday in Cornell University's arXiv by a team of scientists ///from the University of Montreal and a separate report published Wednesday in Nature Astronomy by a team ///from University College London (UCL), the presence of water vapour was confirmed in the atmosphere of K2-18b, ///a planet circling a star in the constellation Leo. This is the first such discovery in a planet in its star's ///habitable zone — not too hot and not too cold for liquid water to exist. The Montreal team, led by Björn Benneke, ///used data from the NASA's Hubble telescope to assess changes in the light coming from K2-18b's star as the planet ///passed between it and Earth. They found that certain wavelengths of light, which are usually absorbed by water, ///weakened when the planet was in the way, indicating not only does K2-18b have an atmosphere, but the atmosphere ///contains water in vapour form. The team from UCL then analyzed the Montreal team's data using their own software ///and confirmed their conclusion. This was not the first time scientists have found signs of water on an exoplanet, ///but previous discoveries were made on planets with high temperatures or other pronounced differences from Earth. ///\"This is the first potentially habitable planet where the temperature is right and where we now know there is water,\" ///said UCL astronomer Angelos Tsiaras. \"It's the best candidate for habitability right now.\" \"It's a good sign\", ///said Ryan Cloutier of the Harvard–Smithsonian Center for Astrophysics, who was not one of either study's authors. ///\"Overall,\" he continued, \"the presence of water in its atmosphere certainly improves the prospect of K2-18b being ///a potentially habitable planet, but further observations will be required to say for sure. \" ///K2-18b was first identified in 2015 by the Kepler space telescope. It is about 110 light-years from Earth and larger ///but less dense. Its star, a red dwarf, is cooler than the Sun, but the planet's orbit is much closer, such that a year ///on K2-18b lasts 33 Earth days. According to The Guardian, astronomers were optimistic that NASA's James Webb space ///telescope — scheduled for launch in 2021 — and the European Space Agency's 2028 ARIEL program, could reveal more ///about exoplanets like K2-18b."]; /// /// let output = model.summarize(&input); ///# Ok(()) ///# } /// ``` /// (New sample credits: [WikiNews](https://en.wikinews.org/wiki/Astronomers_find_water_vapour_in_atmosphere_of_exoplanet_K2-18b)) /// pub fn summarize(&mut self, texts: &[&str]) -> Vec<String> { self.model.generate(Some(texts.to_vec()), None) } }