Add more C API examples (#1255)

C API examples for zipformer, paraformer, and TeleSpeech-ASR CTC models.

@@ -163,3 +163,163 @@ jobs:
           ./whisper-c-api
           ./whisper-c-api
 
 
           rm -rf sherpa-onnx-whisper-*
           rm -rf sherpa-onnx-whisper-*
+
+      - name: Test non-streaming zipformer
+        shell: bash
+        run: |
+          gcc -o zipformer-c-api ./c-api-examples/zipformer-c-api.c \
+            -I ./build/install/include \
+            -L ./build/install/lib/ \
+            -l sherpa-onnx-c-api \
+            -l onnxruntime
+
+          ls -lh zipformer-c-api
+
+          if [[ ${{ matrix.os }} == ubuntu-latest ]]; then
+            ldd ./zipformer-c-api
+            echo "----"
+            readelf -d ./zipformer-c-api
+          fi
+
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-small-en-2023-06-26.tar.bz2
+          tar xvf sherpa-onnx-zipformer-small-en-2023-06-26.tar.bz2
+          rm sherpa-onnx-zipformer-small-en-2023-06-26.tar.bz2
+
+          ls -lh sherpa-onnx-zipformer-small-en-2023-06-26
+          echo "---"
+          ls -lh sherpa-onnx-zipformer-small-en-2023-06-26/test_wavs
+
+          export LD_LIBRARY_PATH=$PWD/build/install/lib:$LD_LIBRARY_PATH
+          export DYLD_LIBRARY_PATH=$PWD/build/install/lib:$DYLD_LIBRARY_PATH
+
+          ./zipformer-c-api
+
+          rm -rf sherpa-onnx-zipformer-*
+
+      - name: Test streaming zipformer
+        shell: bash
+        run: |
+          gcc -o streaming-zipformer-c-api ./c-api-examples/streaming-zipformer-c-api.c \
+            -I ./build/install/include \
+            -L ./build/install/lib/ \
+            -l sherpa-onnx-c-api \
+            -l onnxruntime
+
+          ls -lh streaming-zipformer-c-api
+
+          if [[ ${{ matrix.os }} == ubuntu-latest ]]; then
+            ldd ./streaming-zipformer-c-api
+            echo "----"
+            readelf -d ./streaming-zipformer-c-api
+          fi
+
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-en-20M-2023-02-17.tar.bz2
+          tar xvf sherpa-onnx-streaming-zipformer-en-20M-2023-02-17.tar.bz2
+          rm sherpa-onnx-streaming-zipformer-en-20M-2023-02-17.tar.bz2
+
+          ls -lh sherpa-onnx-streaming-zipformer-en-20M-2023-02-17
+          echo "---"
+          ls -lh sherpa-onnx-streaming-zipformer-en-20M-2023-02-17/test_wavs
+
+          export LD_LIBRARY_PATH=$PWD/build/install/lib:$LD_LIBRARY_PATH
+          export DYLD_LIBRARY_PATH=$PWD/build/install/lib:$DYLD_LIBRARY_PATH
+
+          ./streaming-zipformer-c-api
+
+          rm -rf sherpa-onnx-streaming-zipformer-*
+
+      - name: Test non-streaming paraformer
+        shell: bash
+        run: |
+          gcc -o paraformer-c-api ./c-api-examples/paraformer-c-api.c \
+            -I ./build/install/include \
+            -L ./build/install/lib/ \
+            -l sherpa-onnx-c-api \
+            -l onnxruntime
+
+          ls -lh paraformer-c-api
+
+          if [[ ${{ matrix.os }} == ubuntu-latest ]]; then
+            ldd ./paraformer-c-api
+            echo "----"
+            readelf -d ./paraformer-c-api
+          fi
+
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-small-2024-03-09.tar.bz2
+          tar xvf sherpa-onnx-paraformer-zh-small-2024-03-09.tar.bz2
+          rm sherpa-onnx-paraformer-zh-small-2024-03-09.tar.bz2
+
+          ls -lh sherpa-onnx-paraformer-zh-small-2024-03-09
+          echo "---"
+          ls -lh sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs
+
+          export LD_LIBRARY_PATH=$PWD/build/install/lib:$LD_LIBRARY_PATH
+          export DYLD_LIBRARY_PATH=$PWD/build/install/lib:$DYLD_LIBRARY_PATH
+
+          ./paraformer-c-api
+
+          rm -rf sherpa-onnx-paraformer-*
+
+      - name: Test streaming paraformer
+        shell: bash
+        run: |
+          gcc -o streaming-paraformer-c-api ./c-api-examples/streaming-paraformer-c-api.c \
+            -I ./build/install/include \
+            -L ./build/install/lib/ \
+            -l sherpa-onnx-c-api \
+            -l onnxruntime
+
+          ls -lh streaming-paraformer-c-api
+
+          if [[ ${{ matrix.os }} == ubuntu-latest ]]; then
+            ldd ./streaming-paraformer-c-api
+            echo "----"
+            readelf -d ./streaming-paraformer-c-api
+          fi
+
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-paraformer-bilingual-zh-en.tar.bz2
+          tar xvf sherpa-onnx-streaming-paraformer-bilingual-zh-en.tar.bz2
+          rm sherpa-onnx-streaming-paraformer-bilingual-zh-en.tar.bz2
+
+          ls -lh sherpa-onnx-streaming-paraformer-bilingual-zh-en
+          echo "---"
+          ls -lh sherpa-onnx-streaming-paraformer-bilingual-zh-en/test_wavs
+
+          export LD_LIBRARY_PATH=$PWD/build/install/lib:$LD_LIBRARY_PATH
+          export DYLD_LIBRARY_PATH=$PWD/build/install/lib:$DYLD_LIBRARY_PATH
+
+          ./streaming-paraformer-c-api
+
+          rm -rf sherpa-onnx-streaming-paraformer-*
+
+      - name: Test telespeech
+        shell: bash
+        run: |
+          gcc -o telespeech-c-api ./c-api-examples/telespeech-c-api.c \
+            -I ./build/install/include \
+            -L ./build/install/lib/ \
+            -l sherpa-onnx-c-api \
+            -l onnxruntime
+
+          ls -lh telespeech-c-api
+
+          if [[ ${{ matrix.os }} == ubuntu-latest ]]; then
+            ldd ./telespeech-c-api
+            echo "----"
+            readelf -d ./telespeech-c-api
+          fi
+
+          curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04.tar.bz2
+          tar xvf sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04.tar.bz2
+          rm sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04.tar.bz2
+
+          ls -lh sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04
+          echo "---"
+          ls -lh sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04/test_wavs
+
+          export LD_LIBRARY_PATH=$PWD/build/install/lib:$LD_LIBRARY_PATH
+          export DYLD_LIBRARY_PATH=$PWD/build/install/lib:$DYLD_LIBRARY_PATH
+
+          ./telespeech-c-api
+
+          rm -rf sherpa-onnx-telespeech-*

@@ -30,6 +30,21 @@ target_link_libraries(whisper-c-api sherpa-onnx-c-api)
 add_executable(sense-voice-c-api sense-voice-c-api.c)
 add_executable(sense-voice-c-api sense-voice-c-api.c)
 target_link_libraries(sense-voice-c-api sherpa-onnx-c-api)
 target_link_libraries(sense-voice-c-api sherpa-onnx-c-api)
 
 
+add_executable(zipformer-c-api zipformer-c-api.c)
+target_link_libraries(zipformer-c-api sherpa-onnx-c-api)
+
+add_executable(streaming-zipformer-c-api streaming-zipformer-c-api.c)
+target_link_libraries(streaming-zipformer-c-api sherpa-onnx-c-api)
+
+add_executable(paraformer-c-api paraformer-c-api.c)
+target_link_libraries(paraformer-c-api sherpa-onnx-c-api)
+
+add_executable(streaming-paraformer-c-api streaming-paraformer-c-api.c)
+target_link_libraries(streaming-paraformer-c-api sherpa-onnx-c-api)
+
+add_executable(telespeech-c-api telespeech-c-api.c)
+target_link_libraries(telespeech-c-api sherpa-onnx-c-api)
+
 if(SHERPA_ONNX_HAS_ALSA)
 if(SHERPA_ONNX_HAS_ALSA)
   add_subdirectory(./asr-microphone-example)
   add_subdirectory(./asr-microphone-example)
 elseif((UNIX AND NOT APPLE) OR LINUX)
 elseif((UNIX AND NOT APPLE) OR LINUX)

+// c-api-examples/paraformer-c-api.c
+//
+// Copyright (c)  2024  Xiaomi Corporation
+
+//
+// This file demonstrates how to use non-streaming Paraformer with sherpa-onnx's C API.
+// clang-format off
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-small-2024-03-09.tar.bz2
+// tar xvf sherpa-onnx-paraformer-zh-small-2024-03-09.tar.bz2
+// rm sherpa-onnx-paraformer-zh-small-2024-03-09.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 = "sherpa-onnx-paraformer-zh-small-2024-03-09/test_wavs/0.wav";
+  const char *model_filename = "sherpa-onnx-paraformer-zh-small-2024-03-09/model.int8.onnx";
+  const char *tokens_filename = "sherpa-onnx-paraformer-zh-small-2024-03-09/tokens.txt";
+  const char *provider = "cpu";
+
+
+  const SherpaOnnxWave *wave = SherpaOnnxReadWave(wav_filename);
+  if (wave == NULL) {
+    fprintf(stderr, "Failed to read %s\n", wav_filename);
+    return -1;
+  }
+  
+  // Paraformer config
+  SherpaOnnxOfflineParaformerModelConfig paraformer_config;
+  memset(&paraformer_config, 0, sizeof(paraformer_config));
+  paraformer_config.model = model_filename;
+
+  // Offline model config
+  SherpaOnnxOfflineModelConfig offline_model_config;
+  memset(&offline_model_config, 0, sizeof(offline_model_config));
+  offline_model_config.debug = 1;
+  offline_model_config.num_threads = 1;
+  offline_model_config.provider = provider;
+  offline_model_config.tokens = tokens_filename;
+  offline_model_config.paraformer = paraformer_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;
+
+  SherpaOnnxOfflineRecognizer *recognizer =
+      SherpaOnnxCreateOfflineRecognizer(&recognizer_config);
+
+  if (recognizer == NULL) {
+    fprintf(stderr, "Please check your config!\n");
+    SherpaOnnxFreeWave(wave);
+    return -1;
+  }
+
+  SherpaOnnxOfflineStream *stream = SherpaOnnxCreateOfflineStream(recognizer);
+
+  SherpaOnnxAcceptWaveformOffline(stream, wave->sample_rate, wave->samples,
+                                  wave->num_samples);
+  SherpaOnnxDecodeOfflineStream(recognizer, stream);
+  const SherpaOnnxOfflineRecognizerResult *result =
+      SherpaOnnxGetOfflineStreamResult(stream);
+
+  fprintf(stderr, "Decoded text: %s\n", result->text);
+
+  SherpaOnnxDestroyOfflineRecognizerResult(result);
+  SherpaOnnxDestroyOfflineStream(stream);
+  SherpaOnnxDestroyOfflineRecognizer(recognizer);
+  SherpaOnnxFreeWave(wave);
+
+  return 0;
+}

+// c-api-examples/streaming-paraformer-c-api.c
+//
+// Copyright (c)  2024  Xiaomi Corporation
+
+//
+// This file demonstrates how to use streaming Paraformer with sherpa-onnx's C API.
+// clang-format off
+// 
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-paraformer-bilingual-zh-en.tar.bz2
+// tar xvf sherpa-onnx-streaming-paraformer-bilingual-zh-en.tar.bz2
+// rm sherpa-onnx-streaming-paraformer-bilingual-zh-en.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 = "sherpa-onnx-streaming-paraformer-bilingual-zh-en/test_wavs/0.wav";
+  const char *encoder_filename = "sherpa-onnx-streaming-paraformer-bilingual-zh-en/encoder.int8.onnx";
+  const char *decoder_filename = "sherpa-onnx-streaming-paraformer-bilingual-zh-en/decoder.int8.onnx";
+  const char *tokens_filename = "sherpa-onnx-streaming-paraformer-bilingual-zh-en/tokens.txt";
+  const char *provider = "cpu";
+
+
+  const SherpaOnnxWave *wave = SherpaOnnxReadWave(wav_filename);
+  if (wave == NULL) {
+    fprintf(stderr, "Failed to read %s\n", wav_filename);
+    return -1;
+  }
+  
+  // Paraformer config
+  SherpaOnnxOnlineParaformerModelConfig paraformer_config;
+  memset(&paraformer_config, 0, sizeof(paraformer_config));
+  paraformer_config.encoder = encoder_filename;
+  paraformer_config.decoder = decoder_filename;
+  
+
+  // Online model config
+  SherpaOnnxOnlineModelConfig online_model_config;
+  memset(&online_model_config, 0, sizeof(online_model_config));
+  online_model_config.debug = 1;
+  online_model_config.num_threads = 1;
+  online_model_config.provider = provider;
+  online_model_config.tokens = tokens_filename;
+  online_model_config.paraformer = paraformer_config;
+
+  // Recognizer config
+  SherpaOnnxOnlineRecognizerConfig recognizer_config;
+  memset(&recognizer_config, 0, sizeof(recognizer_config));
+  recognizer_config.decoding_method = "greedy_search";
+  recognizer_config.model_config = online_model_config;
+
+  SherpaOnnxOnlineRecognizer *recognizer =
+      SherpaOnnxCreateOnlineRecognizer(&recognizer_config);
+
+  if (recognizer == NULL) {
+    fprintf(stderr, "Please check your config!\n");
+    SherpaOnnxFreeWave(wave);
+    return -1;
+  }
+
+  SherpaOnnxOnlineStream *stream = SherpaOnnxCreateOnlineStream(recognizer);
+
+  const SherpaOnnxDisplay *display = SherpaOnnxCreateDisplay(50);
+  int32_t segment_id = 0;
+
+// simulate streaming. You can choose an arbitrary N
+#define N 3200
+
+  fprintf(stderr, "sample rate: %d, num samples: %d, duration: %.2f s\n",
+          wave->sample_rate, wave->num_samples,
+          (float)wave->num_samples / wave->sample_rate);
+
+  int32_t k = 0;
+  while (k < wave->num_samples) {
+    int32_t start = k;
+    int32_t end =
+        (start + N > wave->num_samples) ? wave->num_samples : (start + N);
+    k += N;
+
+    SherpaOnnxOnlineStreamAcceptWaveform(stream, wave->sample_rate,
+                                         wave->samples + start, end - start);
+    while (SherpaOnnxIsOnlineStreamReady(recognizer, stream)) {
+      SherpaOnnxDecodeOnlineStream(recognizer, stream);
+    }
+
+    const SherpaOnnxOnlineRecognizerResult *r =
+        SherpaOnnxGetOnlineStreamResult(recognizer, stream);
+
+    if (strlen(r->text)) {
+      SherpaOnnxPrint(display, segment_id, r->text);
+    }
+
+    if (SherpaOnnxOnlineStreamIsEndpoint(recognizer, stream)) {
+      if (strlen(r->text)) {
+        ++segment_id;
+      }
+      SherpaOnnxOnlineStreamReset(recognizer, stream);
+    }
+
+    SherpaOnnxDestroyOnlineRecognizerResult(r);
+  }
+
+  // add some tail padding
+  float tail_paddings[4800] = {0};  // 0.3 seconds at 16 kHz sample rate
+  SherpaOnnxOnlineStreamAcceptWaveform(stream, wave->sample_rate, tail_paddings,
+                                       4800);
+
+  SherpaOnnxFreeWave(wave);
+
+  SherpaOnnxOnlineStreamInputFinished(stream);
+  while (SherpaOnnxIsOnlineStreamReady(recognizer, stream)) {
+    SherpaOnnxDecodeOnlineStream(recognizer, stream);
+  }
+
+  const SherpaOnnxOnlineRecognizerResult *r =
+      SherpaOnnxGetOnlineStreamResult(recognizer, stream);
+
+  if (strlen(r->text)) {
+    SherpaOnnxPrint(display, segment_id, r->text);
+  }
+
+  SherpaOnnxDestroyOnlineRecognizerResult(r);
+
+  SherpaOnnxDestroyDisplay(display);
+  SherpaOnnxDestroyOnlineStream(stream);
+  SherpaOnnxDestroyOnlineRecognizer(recognizer);
+  fprintf(stderr, "\n");
+
+  return 0;
+}

+// c-api-examples/streaming-zipformer-c-api.c
+//
+// Copyright (c)  2024  Xiaomi Corporation
+
+//
+// This file demonstrates how to use streaming Zipformer with sherpa-onnx's C API.
+// clang-format off
+// 
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-en-20M-2023-02-17.tar.bz2
+// tar xvf sherpa-onnx-streaming-zipformer-en-20M-2023-02-17.tar.bz2
+// rm sherpa-onnx-streaming-zipformer-en-20M-2023-02-17.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 = "sherpa-onnx-streaming-zipformer-en-20M-2023-02-17/test_wavs/0.wav";
+  const char *encoder_filename = "sherpa-onnx-streaming-zipformer-en-20M-2023-02-17/encoder-epoch-99-avg-1.onnx";
+  const char *decoder_filename = "sherpa-onnx-streaming-zipformer-en-20M-2023-02-17/decoder-epoch-99-avg-1.onnx";
+  const char *joiner_filename = "sherpa-onnx-streaming-zipformer-en-20M-2023-02-17/joiner-epoch-99-avg-1.onnx";
+  const char *tokens_filename = "sherpa-onnx-streaming-zipformer-en-20M-2023-02-17/tokens.txt";
+  const char *provider = "cpu";
+
+
+  const SherpaOnnxWave *wave = SherpaOnnxReadWave(wav_filename);
+  if (wave == NULL) {
+    fprintf(stderr, "Failed to read %s\n", wav_filename);
+    return -1;
+  }
+  
+  // Zipformer config
+  SherpaOnnxOnlineTransducerModelConfig zipformer_config;
+  memset(&zipformer_config, 0, sizeof(zipformer_config));
+  zipformer_config.encoder = encoder_filename;
+  zipformer_config.decoder = decoder_filename;
+  zipformer_config.joiner = joiner_filename;
+  
+
+  // Online model config
+  SherpaOnnxOnlineModelConfig online_model_config;
+  memset(&online_model_config, 0, sizeof(online_model_config));
+  online_model_config.debug = 1;
+  online_model_config.num_threads = 1;
+  online_model_config.provider = provider;
+  online_model_config.tokens = tokens_filename;
+  online_model_config.transducer = zipformer_config;
+
+  // Recognizer config
+  SherpaOnnxOnlineRecognizerConfig recognizer_config;
+  memset(&recognizer_config, 0, sizeof(recognizer_config));
+  recognizer_config.decoding_method = "greedy_search";
+  recognizer_config.model_config = online_model_config;
+
+  SherpaOnnxOnlineRecognizer *recognizer =
+      SherpaOnnxCreateOnlineRecognizer(&recognizer_config);
+
+  if (recognizer == NULL) {
+    fprintf(stderr, "Please check your config!\n");
+    SherpaOnnxFreeWave(wave);
+    return -1;
+  }
+
+  SherpaOnnxOnlineStream *stream = SherpaOnnxCreateOnlineStream(recognizer);
+
+  const SherpaOnnxDisplay *display = SherpaOnnxCreateDisplay(50);
+  int32_t segment_id = 0;
+
+// simulate streaming. You can choose an arbitrary N
+#define N 3200
+
+  fprintf(stderr, "sample rate: %d, num samples: %d, duration: %.2f s\n",
+          wave->sample_rate, wave->num_samples,
+          (float)wave->num_samples / wave->sample_rate);
+
+  int32_t k = 0;
+  while (k < wave->num_samples) {
+    int32_t start = k;
+    int32_t end =
+        (start + N > wave->num_samples) ? wave->num_samples : (start + N);
+    k += N;
+
+    SherpaOnnxOnlineStreamAcceptWaveform(stream, wave->sample_rate,
+                                         wave->samples + start, end - start);
+    while (SherpaOnnxIsOnlineStreamReady(recognizer, stream)) {
+      SherpaOnnxDecodeOnlineStream(recognizer, stream);
+    }
+
+    const SherpaOnnxOnlineRecognizerResult *r =
+        SherpaOnnxGetOnlineStreamResult(recognizer, stream);
+
+    if (strlen(r->text)) {
+      SherpaOnnxPrint(display, segment_id, r->text);
+    }
+
+    if (SherpaOnnxOnlineStreamIsEndpoint(recognizer, stream)) {
+      if (strlen(r->text)) {
+        ++segment_id;
+      }
+      SherpaOnnxOnlineStreamReset(recognizer, stream);
+    }
+
+    SherpaOnnxDestroyOnlineRecognizerResult(r);
+  }
+
+  // add some tail padding
+  float tail_paddings[4800] = {0};  // 0.3 seconds at 16 kHz sample rate
+  SherpaOnnxOnlineStreamAcceptWaveform(stream, wave->sample_rate, tail_paddings,
+                                       4800);
+
+  SherpaOnnxFreeWave(wave);
+
+  SherpaOnnxOnlineStreamInputFinished(stream);
+  while (SherpaOnnxIsOnlineStreamReady(recognizer, stream)) {
+    SherpaOnnxDecodeOnlineStream(recognizer, stream);
+  }
+
+  const SherpaOnnxOnlineRecognizerResult *r =
+      SherpaOnnxGetOnlineStreamResult(recognizer, stream);
+
+  if (strlen(r->text)) {
+    SherpaOnnxPrint(display, segment_id, r->text);
+  }
+
+  SherpaOnnxDestroyOnlineRecognizerResult(r);
+
+  SherpaOnnxDestroyDisplay(display);
+  SherpaOnnxDestroyOnlineStream(stream);
+  SherpaOnnxDestroyOnlineRecognizer(recognizer);
+  fprintf(stderr, "\n");
+
+  return 0;
+}

+// c-api-examples/telespeech-c-api.c
+//
+// Copyright (c)  2024  Xiaomi Corporation
+
+//
+// This file demonstrates how to use TeleSpeech-ASR CTC model with sherpa-onnx's C API.
+// clang-format off
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04.tar.bz2
+// tar xvf sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04.tar.bz2
+// rm sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04.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 = "sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04/test_wavs/3-sichuan.wav";
+  const char *model_filename = "sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04/model.int8.onnx";
+  const char *tokens_filename = "sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04/tokens.txt";
+  const char *provider = "cpu";
+
+  const SherpaOnnxWave *wave = SherpaOnnxReadWave(wav_filename);
+  if (wave == NULL) {
+    fprintf(stderr, "Failed to read %s\n", wav_filename);
+    return -1;
+  }
+
+  // Offline model config
+  SherpaOnnxOfflineModelConfig offline_model_config;
+  memset(&offline_model_config, 0, sizeof(offline_model_config));
+  offline_model_config.debug = 1;
+  offline_model_config.num_threads = 1;
+  offline_model_config.provider = provider;
+  offline_model_config.tokens = tokens_filename;
+  offline_model_config.telespeech_ctc = model_filename;
+
+  // 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;
+
+  SherpaOnnxOfflineRecognizer *recognizer =
+      SherpaOnnxCreateOfflineRecognizer(&recognizer_config);
+
+  if (recognizer == NULL) {
+    fprintf(stderr, "Please check your config!\n");
+    SherpaOnnxFreeWave(wave);
+    return -1;
+  }
+
+  SherpaOnnxOfflineStream *stream = SherpaOnnxCreateOfflineStream(recognizer);
+
+  SherpaOnnxAcceptWaveformOffline(stream, wave->sample_rate, wave->samples,
+                                  wave->num_samples);
+  SherpaOnnxDecodeOfflineStream(recognizer, stream);
+  const SherpaOnnxOfflineRecognizerResult *result =
+      SherpaOnnxGetOfflineStreamResult(stream);
+
+  fprintf(stderr, "Decoded text: %s\n", result->text);
+
+  SherpaOnnxDestroyOfflineRecognizerResult(result);
+  SherpaOnnxDestroyOfflineStream(stream);
+  SherpaOnnxDestroyOfflineRecognizer(recognizer);
+  SherpaOnnxFreeWave(wave);
+
+  return 0;
+}

-// c-api-examples/offline-stt-c-api.c
+// c-api-examples/whisper-c-api.c
 //
 //
 // Copyright (c)  2024  Xiaomi Corporation
 // Copyright (c)  2024  Xiaomi Corporation
 
 

+// c-api-examples/zipformer-c-api.c
+//
+// Copyright (c)  2024  Xiaomi Corporation
+
+//
+// This file demonstrates how to use non-streaming Zipformer with sherpa-onnx's C API.
+// clang-format off
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-small-en-2023-06-26.tar.bz2
+// tar xvf sherpa-onnx-zipformer-small-en-2023-06-26.tar.bz2
+// rm sherpa-onnx-zipformer-small-en-2023-06-26.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 = "sherpa-onnx-zipformer-small-en-2023-06-26/test_wavs/0.wav";
+  const char *encoder_filename = "sherpa-onnx-zipformer-small-en-2023-06-26/encoder-epoch-99-avg-1.onnx";
+  const char *decoder_filename = "sherpa-onnx-zipformer-small-en-2023-06-26/decoder-epoch-99-avg-1.onnx";
+  const char *joiner_filename = "sherpa-onnx-zipformer-small-en-2023-06-26/joiner-epoch-99-avg-1.onnx";
+  const char *tokens_filename = "sherpa-onnx-zipformer-small-en-2023-06-26/tokens.txt";
+  const char *provider = "cpu";
+
+
+  const SherpaOnnxWave *wave = SherpaOnnxReadWave(wav_filename);
+  if (wave == NULL) {
+    fprintf(stderr, "Failed to read %s\n", wav_filename);
+    return -1;
+  }
+  
+  // Zipformer config
+  SherpaOnnxOfflineTransducerModelConfig zipformer_config;
+  memset(&zipformer_config, 0, sizeof(zipformer_config));
+  zipformer_config.encoder = encoder_filename;
+  zipformer_config.decoder = decoder_filename;
+  zipformer_config.joiner = joiner_filename;
+  
+
+  // Offline model config
+  SherpaOnnxOfflineModelConfig offline_model_config;
+  memset(&offline_model_config, 0, sizeof(offline_model_config));
+  offline_model_config.debug = 1;
+  offline_model_config.num_threads = 1;
+  offline_model_config.provider = provider;
+  offline_model_config.tokens = tokens_filename;
+  offline_model_config.transducer = zipformer_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;
+
+  SherpaOnnxOfflineRecognizer *recognizer =
+      SherpaOnnxCreateOfflineRecognizer(&recognizer_config);
+
+  if (recognizer == NULL) {
+    fprintf(stderr, "Please check your config!\n");
+    SherpaOnnxFreeWave(wave);
+    return -1;
+  }
+
+  SherpaOnnxOfflineStream *stream = SherpaOnnxCreateOfflineStream(recognizer);
+
+  SherpaOnnxAcceptWaveformOffline(stream, wave->sample_rate, wave->samples,
+                                  wave->num_samples);
+  SherpaOnnxDecodeOfflineStream(recognizer, stream);
+  const SherpaOnnxOfflineRecognizerResult *result =
+      SherpaOnnxGetOfflineStreamResult(stream);
+
+  fprintf(stderr, "Decoded text: %s\n", result->text);
+
+  SherpaOnnxDestroyOfflineRecognizerResult(result);
+  SherpaOnnxDestroyOfflineStream(stream);
+  SherpaOnnxDestroyOfflineRecognizer(recognizer);
+  SherpaOnnxFreeWave(wave);
+
+  return 0;
+}