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/*
* Copyright (C) 2018 The Android Open Source Project
*
* 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.
*/
#ifndef NLP_SAFT_COMPONENTS_LANG_ID_MOBILE_MODEL_PROVIDER_H_
#define NLP_SAFT_COMPONENTS_LANG_ID_MOBILE_MODEL_PROVIDER_H_
#include <string>
#include <vector>
#include "lang_id/common/embedding-network-params.h"
namespace libtextclassifier3 {
namespace mobile {
namespace lang_id {
// Interface for accessing parameters for the LangId model.
//
// Note: some clients prefer to include the model parameters in the binary,
// others prefer loading them from a separate file. This file provides a common
// interface for these alternative mechanisms.
class ModelProvider {
public:
virtual ~ModelProvider() = default;
// Returns true if this ModelProvider has been succesfully constructed (e.g.,
// can return false if an underlying model file could not be read). Clients
// should not use invalid ModelProviders.
bool is_valid() { return valid_; }
// Returns the TaskContext with parameters for the LangId model. E.g., one
// important parameter specifies the features to use.
virtual const TaskContext *GetTaskContext() const = 0;
// Returns parameters for the underlying Neurosis feed-forward neural network.
virtual const EmbeddingNetworkParams *GetNnParams() const = 0;
// Returns list of languages recognized by the model. Each element of the
// returned vector should be a BCP-47 language code (e.g., "en", "ro", etc).
// Language at index i from the returned vector corresponds to softmax label
// i.
virtual std::vector<std::string> GetLanguages() const = 0;
protected:
bool valid_ = false;
};
} // namespace lang_id
} // namespace mobile
} // namespace nlp_saft
#endif // NLP_SAFT_COMPONENTS_LANG_ID_MOBILE_MODEL_PROVIDER_H_