# Copyright 2021 Zilliz. 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.

from torch import nn
import torch
import sys
from pathlib import Path

from towhee.models.vggish.torch_vggish import VGG

sys.path.append(str(Path(__file__).parent))

import vggish_input

class Model(nn.Module):
    """
    PyTorch model class
    """
    def __init__(self, weights_path: str=None):
        super().__init__()
        self._model = VGG()
        if not weights_path:
            path = str(Path(__file__).parent)
            weights_path = path + '/vggish.pth'
        state_dict = torch.load(weights_path, map_location=torch.device('cpu'))
        self._model.load_state_dict(state_dict)
        self._model.eval()

    def forward(self, x):
        return self._model(x)

    def preprocess(self, audio_path: str):
        audio_tensors = vggish_input.wavfile_to_examples(audio_path)
        return audio_tensors

    def train(self):
        """
        For training model
        """
        pass