// Copyright 2019-present, the HuggingFace Inc. team, The Google AI Language Team and Facebook, Inc.
// Copyright 2019 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.

extern crate anyhow;

use rust_bert::pipelines::ner::NERModel;

fn main() -> anyhow::Result<()> {
    //    Set-up model
    let ner_model = NERModel::new(Default::default())?;

    //    Define input
    let input = [
        "My name is Amélie. I live in Москва.",
        "Chongqing is a city in China.",
        "Asked John Smith about Acme Corp",
    ];

    //    Run model
    let output = ner_model.predict_full_entities(&input);
    for entity in output {
        println!("{entity:?}");
    }

    Ok(())
}