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diff --git a/contrib/tflite_classify/src/InferenceInterface.h b/contrib/tflite_classify/src/InferenceInterface.h
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+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * 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.
+ */
+
+/**
+ * @file     InferenceInterface.h
+ * @brief    This file contains class for running the actual inference model
+ * @ingroup  COM_AI_RUNTIME
+ */
+
+#ifndef __TFLITE_CLASSIFY_INFERENCE_INTERFACE_H__
+#define __TFLITE_CLASSIFY_INFERENCE_INTERFACE_H__
+
+#include "tflite/ext/kernels/register.h"
+#include "tensorflow/contrib/lite/model.h"
+
+#include "tflite/InterpreterSession.h"
+#include "tflite/NNAPISession.h"
+
+#include <iostream>
+#include <string>
+
+/**
+ * @brief Class to define a inference interface for recognizing data
+ */
+class InferenceInterface
+{
+public:
+  /**
+   * @brief Construct a new InferenceInterface object with parameters
+   * @param[in] model_file  The filepath of the model FlatBuffer protocol buffer
+   * @param[in] use_nnapi   The flag to distinguish between TfLite interpreter and NNFW runtime
+   */
+  InferenceInterface(const std::string &model_file, const bool use_nnapi);
+
+  /**
+   * @brief Destructor an InferenceInterface object
+   */
+  ~InferenceInterface();
+
+  /**
+   * @brief Copy the input data into model
+   * @param[in] input_name  The label of the image input node
+   * @param[in] data        The actual data to be copied into input tensor
+   * @param[in] batch       The number of batch size
+   * @param[in] height      The number of height size
+   * @param[in] width       The number of width size
+   * @param[in] channel     The number of channel size
+   * @return N/A
+   */
+  void feed(const std::string &input_name, const std::vector<float> &data, const int batch,
+            const int height, const int width, const int channel);
+  /**
+   * @brief Run the inference call
+   * @param[in] output_name The label of the output node
+   * @return N/A
+   */
+  void run(const std::string &output_name);
+
+  /**
+   * @brief Copy the output tensor back into the output array
+   * @param[in] output_node The label of the output node
+   * @param[in] outputs     The output data array
+   * @return N/A
+   */
+  void fetch(const std::string &output_name, std::vector<float> &outputs);
+
+  /**
+   * @brief Get tensor size
+   * @param[in] name  The label of the node
+   * @result The size of tensor
+   */
+  int getTensorSize(const std::string &name);
+
+private:
+  std::unique_ptr<tflite::Interpreter> _interpreter;
+  std::unique_ptr<tflite::FlatBufferModel> _model;
+  std::shared_ptr<nnfw::tflite::Session> _sess;
+};
+
+#endif // __TFLITE_CLASSIFY_INFERENCE_INTERFACE_H__