C api (#60)

@@ -69,3 +69,11 @@ jobs:
           export EXE=sherpa-onnx
 
           .github/scripts/test-online-transducer.sh
+
+      - name: Test online transducer (C API)
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export EXE=decode-file-c-api
+
+          .github/scripts/test-online-transducer.sh

@@ -71,3 +71,11 @@ jobs:
           export EXE=sherpa-onnx
 
           .github/scripts/test-online-transducer.sh
+
+      - name: Test online transducer (C API)
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export EXE=decode-file-c-api
+
+          .github/scripts/test-online-transducer.sh

@@ -78,3 +78,11 @@ jobs:
           export EXE=sherpa-onnx.exe
 
           .github/scripts/test-online-transducer.sh
+
+      - name: Test online transducer (C API)
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin/Release:$PATH
+          export EXE=decode-file-c-api.exe
+
+          .github/scripts/test-online-transducer.sh

@@ -18,3 +18,5 @@ a.txt
 run-bilingual*.sh
 run-*-zipformer.sh
 run-zh.sh
+decode-file-c-api
+run-decode-file-c-api.sh

@@ -17,6 +17,7 @@ option(SHERPA_ONNX_ENABLE_CHECK "Whether to build with assert" ON)
 option(BUILD_SHARED_LIBS "Whether to build shared libraries" OFF)
 option(SHERPA_ONNX_ENABLE_PORTAUDIO "Whether to build with portaudio" ON)
 option(SHERPA_ONNX_ENABLE_JNI "Whether to build JNI internface" OFF)
+option(SHERPA_ONNX_ENABLE_C_API "Whether to build C API" ON)
 
 set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
 set(CMAKE_LIBRARY_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
@@ -91,3 +92,7 @@ if(SHERPA_ONNX_ENABLE_TESTS)
 endif()
 
 add_subdirectory(sherpa-onnx)
+
+if(SHERPA_ONNX_ENABLE_C_API)
+  add_subdirectory(c-api-examples)
+endif()

+include_directories(${CMAKE_SOURCE_DIR})
+add_executable(decode-file-c-api decode-file-c-api.c)
+target_link_libraries(decode-file-c-api sherpa-onnx-c-api)

+
+CFLAGS := -I ../
+LDFLAGS := -L ../build/lib
+LDFLAGS += -L ../build/_deps/onnxruntime-src/lib
+LDFLAGS += -lsherpa-onnx-c-api -lsherpa-onnx-core -lonnxruntime -lkaldi-native-fbank-core
+LDFLAGS += -Wl,-rpath,../build/lib
+LDFLAGS += -Wl,-rpath,../build/_deps/onnxruntime-src/lib
+
+decode-file-c-api: decode-file-c-api.c
+	$(CC) $(CFLAGS) -o $@ $< $(LDFLAGS)

+// c-api-examples/decode-file-c-api.cc
+//
+// Copyright (c)  2023  Xiaomi Corporation
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+
+#include "sherpa-onnx/c-api/c-api.h"
+
+const char *kUsage =
+    "\n"
+    "Usage:\n "
+    "  ./bin/decode-file-c-api \\\n"
+    "    /path/to/tokens.txt \\\n"
+    "    /path/to/encoder.onnx \\\n"
+    "    /path/to/decoder.onnx \\\n"
+    "    /path/to/joiner.onnx \\\n"
+    "    /path/to/foo.wav [num_threads]\n"
+    "\n\n"
+    "Please refer to \n"
+    "https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html\n"
+    "for a list of pre-trained models to download.\n";
+
+int32_t main(int32_t argc, char *argv[]) {
+  if (argc < 6 || argc > 7) {
+    fprintf(stderr, "%s\n", kUsage);
+    return -1;
+  }
+  SherpaOnnxOnlineRecognizerConfig config;
+  config.model_config.tokens = argv[1];
+  config.model_config.encoder = argv[2];
+  config.model_config.decoder = argv[3];
+  config.model_config.joiner = argv[4];
+
+  int32_t num_threads = 4;
+  if (argc == 7 && atoi(argv[6]) > 0) {
+    num_threads = atoi(argv[6]);
+  }
+  config.model_config.num_threads = num_threads;
+  config.model_config.debug = 0;
+
+  config.feat_config.sample_rate = 16000;
+  config.feat_config.feature_dim = 80;
+
+  config.enable_endpoint = 1;
+  config.rule1_min_trailing_silence = 2.4;
+  config.rule2_min_trailing_silence = 1.2;
+  config.rule3_min_utterance_length = 300;
+
+  SherpaOnnxOnlineRecognizer *recognizer = CreateOnlineRecognizer(&config);
+  SherpaOnnxOnlineStream *stream = CreateOnlineStream(recognizer);
+
+  const char *wav_filename = argv[5];
+  FILE *fp = fopen(wav_filename, "rb");
+  if (!fp) {
+    fprintf(stderr, "Failed to open %s\n", wav_filename);
+    return -1;
+  }
+
+  // Assume the wave header occupies 44 bytes.
+  fseek(fp, 44, SEEK_SET);
+
+  // simulate streaming
+
+#define N 3200  // 0.2 s. Sample rate is fixed to 16 kHz
+
+  int16_t buffer[N];
+  float samples[N];
+
+  while (!feof(fp)) {
+    size_t n = fread((void *)buffer, sizeof(int16_t), N, fp);
+    if (n > 0) {
+      for (size_t i = 0; i != n; ++i) {
+        samples[i] = buffer[i] / 32768.;
+      }
+      AcceptWaveform(stream, 16000, samples, n);
+      while (IsOnlineStreamReady(recognizer, stream)) {
+        DecodeOnlineStream(recognizer, stream);
+      }
+
+      SherpaOnnxOnlineRecognizerResult *r =
+          GetOnlineStreamResult(recognizer, stream);
+      if (strlen(r->text)) {
+        fprintf(stderr, "%s\n", r->text);
+      }
+      DestroyOnlineRecognizerResult(r);
+    }
+  }
+  fclose(fp);
+
+  // add some tail padding
+  float tail_paddings[4800] = {0};  // 0.3 seconds at 16 kHz sample rate
+  AcceptWaveform(stream, 16000, tail_paddings, 4800);
+
+  InputFinished(stream);
+  while (IsOnlineStreamReady(recognizer, stream)) {
+    DecodeOnlineStream(recognizer, stream);
+  }
+
+  SherpaOnnxOnlineRecognizerResult *r =
+      GetOnlineStreamResult(recognizer, stream);
+  if (strlen(r->text)) {
+    fprintf(stderr, "%s\n", r->text);
+  }
+
+  DestroyOnlineRecognizerResult(r);
+
+  DestoryOnlineStream(stream);
+  DestroyOnlineRecognizer(recognizer);
+
+  return 0;
+}

@@ -6,3 +6,7 @@ endif()
 if(SHERPA_ONNX_ENABLE_JNI)
   add_subdirectory(jni)
 endif()
+
+if(SHERPA_ONNX_ENABLE_C_API)
+  add_subdirectory(c-api)
+endif()

+include_directories(${CMAKE_SOURCE_DIR})
+add_library(sherpa-onnx-c-api c-api.cc)
+target_link_libraries(sherpa-onnx-c-api sherpa-onnx-core)
+
+install(TARGETS sherpa-onnx-c-api DESTINATION lib)
+
+install(FILES c-api.h
+  DESTINATION include/sherpa-onnx/c-api
+)
+

+// sherpa-onnx/c-api/c-api.cc
+//
+// Copyright (c)  2023  Xiaomi Corporation
+
+#include "sherpa-onnx/c-api/c-api.h"
+
+#include <algorithm>
+#include <memory>
+#include <utility>
+#include <vector>
+
+#include "sherpa-onnx/csrc/online-recognizer.h"
+
+struct SherpaOnnxOnlineRecognizer {
+  sherpa_onnx::OnlineRecognizer *impl;
+};
+
+struct SherpaOnnxOnlineStream {
+  std::unique_ptr<sherpa_onnx::OnlineStream> impl;
+  explicit SherpaOnnxOnlineStream(std::unique_ptr<sherpa_onnx::OnlineStream> p)
+      : impl(std::move(p)) {}
+};
+
+SherpaOnnxOnlineRecognizer *CreateOnlineRecognizer(
+    const SherpaOnnxOnlineRecognizerConfig *config) {
+  sherpa_onnx::OnlineRecognizerConfig recognizer_config;
+
+  recognizer_config.feat_config.sampling_rate = config->feat_config.sample_rate;
+  recognizer_config.feat_config.feature_dim = config->feat_config.feature_dim;
+
+  recognizer_config.model_config.encoder_filename =
+      config->model_config.encoder;
+  recognizer_config.model_config.decoder_filename =
+      config->model_config.decoder;
+  recognizer_config.model_config.joiner_filename = config->model_config.joiner;
+  recognizer_config.model_config.tokens = config->model_config.tokens;
+  recognizer_config.model_config.num_threads = config->model_config.num_threads;
+  recognizer_config.model_config.debug = config->model_config.debug;
+
+  recognizer_config.enable_endpoint = config->enable_endpoint;
+
+  recognizer_config.endpoint_config.rule1.min_trailing_silence =
+      config->rule1_min_trailing_silence;
+
+  recognizer_config.endpoint_config.rule2.min_trailing_silence =
+      config->rule2_min_trailing_silence;
+
+  recognizer_config.endpoint_config.rule3.min_utterance_length =
+      config->rule3_min_utterance_length;
+
+  SherpaOnnxOnlineRecognizer *recognizer = new SherpaOnnxOnlineRecognizer;
+  recognizer->impl = new sherpa_onnx::OnlineRecognizer(recognizer_config);
+
+  return recognizer;
+}
+
+void DestroyOnlineRecognizer(SherpaOnnxOnlineRecognizer *recognizer) {
+  delete recognizer->impl;
+  delete recognizer;
+}
+
+SherpaOnnxOnlineStream *CreateOnlineStream(
+    const SherpaOnnxOnlineRecognizer *recognizer) {
+  SherpaOnnxOnlineStream *stream =
+      new SherpaOnnxOnlineStream(recognizer->impl->CreateStream());
+  return stream;
+}
+
+void DestoryOnlineStream(SherpaOnnxOnlineStream *stream) { delete stream; }
+
+void AcceptWaveform(SherpaOnnxOnlineStream *stream, float sample_rate,
+                    const float *samples, int32_t n) {
+  stream->impl->AcceptWaveform(sample_rate, samples, n);
+}
+
+int32_t IsOnlineStreamReady(SherpaOnnxOnlineRecognizer *recognizer,
+                            SherpaOnnxOnlineStream *stream) {
+  return recognizer->impl->IsReady(stream->impl.get());
+}
+
+void DecodeOnlineStream(SherpaOnnxOnlineRecognizer *recognizer,
+                        SherpaOnnxOnlineStream *stream) {
+  recognizer->impl->DecodeStream(stream->impl.get());
+}
+
+void DecodeMultipleOnlineStreams(SherpaOnnxOnlineRecognizer *recognizer,
+                                 SherpaOnnxOnlineStream **streams, int32_t n) {
+  std::vector<sherpa_onnx::OnlineStream *> ss(n);
+  for (int32_t i = 0; i != n; ++n) {
+    ss[i] = streams[i]->impl.get();
+  }
+  recognizer->impl->DecodeStreams(ss.data(), n);
+}
+
+SherpaOnnxOnlineRecognizerResult *GetOnlineStreamResult(
+    SherpaOnnxOnlineRecognizer *recognizer, SherpaOnnxOnlineStream *stream) {
+  sherpa_onnx::OnlineRecognizerResult result =
+      recognizer->impl->GetResult(stream->impl.get());
+  const auto &text = result.text;
+
+  auto r = new SherpaOnnxOnlineRecognizerResult;
+  r->text = new char[text.size() + 1];
+  std::copy(text.begin(), text.end(), const_cast<char *>(r->text));
+  const_cast<char *>(r->text)[text.size()] = 0;
+
+  return r;
+}
+
+void DestroyOnlineRecognizerResult(const SherpaOnnxOnlineRecognizerResult *r) {
+  delete[] r->text;
+  delete r;
+}
+
+void Reset(SherpaOnnxOnlineRecognizer *recognizer,
+           SherpaOnnxOnlineStream *stream) {
+  recognizer->impl->Reset(stream->impl.get());
+}
+
+void InputFinished(SherpaOnnxOnlineStream *stream) {
+  stream->impl->InputFinished();
+}
+
+int32_t IsEndpoint(SherpaOnnxOnlineRecognizer *recognizer,
+                   SherpaOnnxOnlineStream *stream) {
+  return recognizer->impl->IsEndpoint(stream->impl.get());
+}

+// sherpa-onnx/c-api/c-api.h
+//
+// Copyright (c)  2023  Xiaomi Corporation
+
+// C API for sherpa-onnx
+//
+// Please refer to
+// https://github.com/k2-fsa/sherpa-onnx/blob/master/c-api-examples/decode-file-c-api.c
+// for usages.
+//
+
+#ifndef SHERPA_ONNX_C_API_C_API_H_
+#define SHERPA_ONNX_C_API_C_API_H_
+
+#include <stdint.h>
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/// Please refer to
+/// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html
+/// to download pre-trained models. That is, you can find encoder-xxx.onnx
+/// decoder-xxx.onnx, joiner-xxx.onnx, and tokens.txt for this struct
+/// from there.
+typedef struct SherpaOnnxOnlineTransducerModelConfig {
+  const char *encoder;
+  const char *decoder;
+  const char *joiner;
+  const char *tokens;
+  int32_t num_threads;
+  int32_t debug;  // true to print debug information of the model
+} SherpaOnnxOnlineTransducerModelConfig;
+
+/// It expects 16 kHz 16-bit single channel wave format.
+typedef struct SherpaOnnxFeatureConfig {
+  /// Sample rate of the input data. MUST match the one expected
+  /// by the model. For instance, it should be 16000 for models provided
+  /// by us.
+  int32_t sample_rate;
+
+  /// Feature dimension of the model.
+  /// For instance, it should be 80 for models provided by us.
+  int32_t feature_dim;
+} SherpaOnnxFeatureConfig;
+
+typedef struct SherpaOnnxOnlineRecognizerConfig {
+  SherpaOnnxFeatureConfig feat_config;
+  SherpaOnnxOnlineTransducerModelConfig model_config;
+
+  /// 0 to disable endpoint detection.
+  /// A non-zero value to enable endpoint detection.
+  int32_t enable_endpoint;
+
+  /// An endpoint is detected if trailing silence in seconds is larger than
+  /// this value even if nothing has been decoded.
+  /// Used only when enable_endpoint is not 0.
+  float rule1_min_trailing_silence;
+
+  /// An endpoint is detected if trailing silence in seconds is larger than
+  /// this value after something that is not blank has been decoded.
+  /// Used only when enable_endpoint is not 0.
+  float rule2_min_trailing_silence;
+
+  /// An endpoint is detected if the utterance in seconds is larger than
+  /// this value.
+  /// Used only when enable_endpoint is not 0.
+  float rule3_min_utterance_length;
+} SherpaOnnxOnlineRecognizerConfig;
+
+typedef struct SherpaOnnxOnlineRecognizerResult {
+  const char *text;
+  // TODO(fangjun): Add more fields
+} SherpaOnnxOnlineRecognizerResult;
+
+/// Note: OnlineRecognizer here means StreamingRecognizer.
+/// It does not need to access the Internet during recognition.
+/// Everything is run locally.
+typedef struct SherpaOnnxOnlineRecognizer SherpaOnnxOnlineRecognizer;
+typedef struct SherpaOnnxOnlineStream SherpaOnnxOnlineStream;
+
+/// @param config  Config for the recongizer.
+/// @return Return a pointer to the recognizer. The user has to invoke
+//          DestroyOnlineRecognizer() to free it to avoid memory leak.
+SherpaOnnxOnlineRecognizer *CreateOnlineRecognizer(
+    const SherpaOnnxOnlineRecognizerConfig *config);
+
+/// Free a pointer returned by CreateOnlineRecognizer()
+///
+/// @param p A pointer returned by CreateOnlineRecognizer()
+void DestroyOnlineRecognizer(SherpaOnnxOnlineRecognizer *recognizer);
+
+/// Create an online stream for accepting wave samples.
+///
+/// @param recognizer  A pointer returned by CreateOnlineRecognizer()
+/// @return Return a pointer to an OnlineStream. The user has to invoke
+///         DestoryOnlineStream() to free it to avoid memory leak.
+SherpaOnnxOnlineStream *CreateOnlineStream(
+    const SherpaOnnxOnlineRecognizer *recognizer);
+
+/// Destory an online stream.
+///
+/// @param stream A pointer returned by CreateOnlineStream()
+void DestoryOnlineStream(SherpaOnnxOnlineStream *stream);
+
+/// Accept input audio samples and compute the features.
+/// The user has to invoke DecodeOnlineStream() to run the neural network and
+/// decoding.
+///
+/// @param stream  A pointer returned by CreateOnlineStream().
+/// @param sample_rate  Sampler rate of the input samples. It has to be 16 kHz
+///                     for models from icefall.
+/// @param samples A pointer to a 1-D array containing audio samples.
+///                The range of samples has to be normalized to [-1, 1].
+/// @param n  Number of elements in the samples array.
+void AcceptWaveform(SherpaOnnxOnlineStream *stream, float sample_rate,
+                    const float *samples, int32_t n);
+
+/// Return 1 if there are enough number of feature frames for decoding.
+/// Return 0 otherwise.
+///
+/// @param recognizer  A pointer returned by CreateOnlineRecognizer
+/// @param stream  A pointer returned by CreateOnlineStream
+int32_t IsOnlineStreamReady(SherpaOnnxOnlineRecognizer *recognizer,
+                            SherpaOnnxOnlineStream *stream);
+
+/// Call this function to run the neural network model and decoding.
+//
+/// Precondition for this function: IsOnlineStreamReady() MUST return 1.
+///
+/// Usage example:
+///
+///  while (IsOnlineStreamReady(recognizer, stream)) {
+///     DecodeOnlineStream(recognizer, stream);
+///  }
+///
+void DecodeOnlineStream(SherpaOnnxOnlineRecognizer *recognizer,
+                        SherpaOnnxOnlineStream *stream);
+
+/// This function is similar to DecodeOnlineStream(). It decodes multiple
+/// OnlineStream in parallel.
+///
+/// Caution: The caller has to ensure each OnlineStream is ready, i.e.,
+/// IsOnlineStreamReady() for that stream should return 1.
+///
+/// @param recognizer  A pointer returned by CreateOnlineRecognizer()
+/// @param streams  A pointer array containing pointers returned by
+///                 CreateOnlineRecognizer()
+/// @param n  Number of elements in the given streams array.
+void DecodeMultipleOnlineStreams(SherpaOnnxOnlineRecognizer *recognizer,
+                                 SherpaOnnxOnlineStream **streams, int32_t n);
+
+/// Get the decoding results so far for an OnlineStream.
+///
+/// @param recognizer A pointer returned by CreateOnlineRecognizer().
+/// @param stream A pointer returned by CreateOnlineStream().
+/// @return A pointer containing the result. The user has to invoke
+///         DestroyOnlineRecognizerResult() to free the returned pointer to
+///         avoid memory leak.
+SherpaOnnxOnlineRecognizerResult *GetOnlineStreamResult(
+    SherpaOnnxOnlineRecognizer *recognizer, SherpaOnnxOnlineStream *stream);
+
+/// Destroy the pointer returned by GetOnlineStreamResult().
+///
+/// @param r A pointer returned by GetOnlineStreamResult()
+void DestroyOnlineRecognizerResult(const SherpaOnnxOnlineRecognizerResult *r);
+
+/// Reset an OnlineStream , which clears the neural network model state
+/// and the state for decoding.
+///
+/// @param recognizer A pointer returned by CreateOnlineRecognizer().
+/// @param stream A pointer returned by CreateOnlineStream
+void Reset(SherpaOnnxOnlineRecognizer *recognizer,
+           SherpaOnnxOnlineStream *stream);
+
+/// Signal that no more audio samples would be available.
+/// After this call, you cannot call AcceptWaveform() any more.
+///
+/// @param stream A pointer returned by CreateOnlineStream()
+void InputFinished(SherpaOnnxOnlineStream *stream);
+
+/// Return 1 if an endpoint has been detected.
+///
+/// @param recognizer A pointer returned by CreateOnlineRecognizer()
+/// @param stream A pointer returned by CreateOnlineStream()
+/// @return Return 1 if an endpoint is detected. Return 0 otherwise.
+int32_t IsEndpoint(SherpaOnnxOnlineRecognizer *recognizer,
+                   SherpaOnnxOnlineStream *stream);
+
+#ifdef __cplusplus
+} /* extern "C" */
+#endif
+
+#endif  // SHERPA_ONNX_C_API_C_API_H_