// c-api-examples/vad-sense-voice-c-api.c
//
// Copyright (c)  2024  Xiaomi Corporation

//
// This file demonstrates how to use VAD + SenseVoice with sherpa-onnx's C API.
// clang-format off
//
// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx
// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/lei-jun-test.wav
//
// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
// tar xvf sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
// rm sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
//
// clang-format on

#include <stdio.h>
#include <stdlib.h>
#include <string.h>

#include "sherpa-onnx/c-api/c-api.h"

int32_t main() {
  const char *wav_filename = "./lei-jun-test.wav";
  const char *vad_filename = "./silero_vad.onnx";
  const char *model_filename =
      "./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/model.int8.onnx";
  const char *tokens_filename =
      "./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/tokens.txt";
  const char *language = "auto";
  const char *provider = "cpu";
  int32_t use_inverse_text_normalization = 1;

  const SherpaOnnxWave *wave = SherpaOnnxReadWave(wav_filename);
  if (wave == NULL) {
    fprintf(stderr, "Failed to read %s\n", wav_filename);
    return -1;
  }

  if (wave->sample_rate != 16000) {
    fprintf(stderr, "Expect the sample rate to be 16000. Given: %d\n",
            wave->sample_rate);
    SherpaOnnxFreeWave(wave);
    return -1;
  }

  SherpaOnnxOfflineSenseVoiceModelConfig sense_voice_config;
  memset(&sense_voice_config, 0, sizeof(sense_voice_config));
  sense_voice_config.model = model_filename;
  sense_voice_config.language = language;
  sense_voice_config.use_itn = use_inverse_text_normalization;

  // Offline model config
  SherpaOnnxOfflineModelConfig offline_model_config;
  memset(&offline_model_config, 0, sizeof(offline_model_config));
  offline_model_config.debug = 0;
  offline_model_config.num_threads = 1;
  offline_model_config.provider = provider;
  offline_model_config.tokens = tokens_filename;
  offline_model_config.sense_voice = sense_voice_config;

  // Recognizer config
  SherpaOnnxOfflineRecognizerConfig recognizer_config;
  memset(&recognizer_config, 0, sizeof(recognizer_config));
  recognizer_config.decoding_method = "greedy_search";
  recognizer_config.model_config = offline_model_config;

  const SherpaOnnxOfflineRecognizer *recognizer =
      SherpaOnnxCreateOfflineRecognizer(&recognizer_config);

  if (recognizer == NULL) {
    fprintf(stderr, "Please check your recognizer config!\n");
    SherpaOnnxFreeWave(wave);
    return -1;
  }

  SherpaOnnxVadModelConfig vadConfig;
  memset(&vadConfig, 0, sizeof(vadConfig));
  vadConfig.silero_vad.model = vad_filename;
  vadConfig.silero_vad.threshold = 0.5;
  vadConfig.silero_vad.min_silence_duration = 0.5;
  vadConfig.silero_vad.min_speech_duration = 0.5;
  vadConfig.silero_vad.max_speech_duration = 5;
  vadConfig.silero_vad.window_size = 512;
  vadConfig.sample_rate = 16000;
  vadConfig.num_threads = 1;
  vadConfig.debug = 1;

  SherpaOnnxVoiceActivityDetector *vad =
      SherpaOnnxCreateVoiceActivityDetector(&vadConfig, 30);

  if (vad == NULL) {
    fprintf(stderr, "Please check your recognizer config!\n");
    SherpaOnnxFreeWave(wave);
    SherpaOnnxDestroyOfflineRecognizer(recognizer);
    return -1;
  }

  int32_t window_size = vadConfig.silero_vad.window_size;
  int32_t i = 0;

  while (i + window_size < wave->num_samples) {
    SherpaOnnxVoiceActivityDetectorAcceptWaveform(vad, wave->samples + i,
                                                  window_size);
    i += window_size;

    while (!SherpaOnnxVoiceActivityDetectorEmpty(vad)) {
      const SherpaOnnxSpeechSegment *segment =
          SherpaOnnxVoiceActivityDetectorFront(vad);

      const SherpaOnnxOfflineStream *stream =
          SherpaOnnxCreateOfflineStream(recognizer);

      SherpaOnnxAcceptWaveformOffline(stream, wave->sample_rate,
                                      segment->samples, segment->n);

      SherpaOnnxDecodeOfflineStream(recognizer, stream);

      const SherpaOnnxOfflineRecognizerResult *result =
          SherpaOnnxGetOfflineStreamResult(stream);

      float start = segment->start / 16000.0f;
      float duration = segment->n / 16000.0f;
      float stop = start + duration;

      fprintf(stderr, "%.3f -- %.3f: %s\n", start, stop, result->text);

      SherpaOnnxDestroyOfflineRecognizerResult(result);
      SherpaOnnxDestroyOfflineStream(stream);

      SherpaOnnxDestroySpeechSegment(segment);
      SherpaOnnxVoiceActivityDetectorPop(vad);
    }
  }

  SherpaOnnxVoiceActivityDetectorFlush(vad);

  while (!SherpaOnnxVoiceActivityDetectorEmpty(vad)) {
    const SherpaOnnxSpeechSegment *segment =
        SherpaOnnxVoiceActivityDetectorFront(vad);

    const SherpaOnnxOfflineStream *stream =
        SherpaOnnxCreateOfflineStream(recognizer);

    SherpaOnnxAcceptWaveformOffline(stream, wave->sample_rate, segment->samples,
                                    segment->n);

    SherpaOnnxDecodeOfflineStream(recognizer, stream);

    const SherpaOnnxOfflineRecognizerResult *result =
        SherpaOnnxGetOfflineStreamResult(stream);

    float start = segment->start / 16000.0f;
    float duration = segment->n / 16000.0f;
    float stop = start + duration;

    fprintf(stderr, "%.3f -- %.3f: %s\n", start, stop, result->text);

    SherpaOnnxDestroyOfflineRecognizerResult(result);
    SherpaOnnxDestroyOfflineStream(stream);

    SherpaOnnxDestroySpeechSegment(segment);
    SherpaOnnxVoiceActivityDetectorPop(vad);
  }

  SherpaOnnxDestroyOfflineRecognizer(recognizer);
  SherpaOnnxDestroyVoiceActivityDetector(vad);
  SherpaOnnxFreeWave(wave);

  return 0;
}