add inference_handle

Author: litongjava

CMakeLists.txt

@@ -34,7 +34,8 @@ target_link_libraries(sdl_version ${SDL2_LIBRARIES})
 add_executable(simplest simplest.cpp common.cpp)
 target_link_libraries(simplest whisper)
 
-add_executable(stream_components stream_components.cpp stream_components_audio.cpp stream_components_output.cpp stream_components_service.cpp)
+add_executable(stream_components stream_components.cpp stream_components_audio.cpp stream_components_output.cpp stream_components_service.cpp
+        inference_handler.cpp)
 target_link_libraries(stream_components  ${SDL2_LIBRARIES})
 
 add_executable(server server.cpp common.cpp httplib.h json.hpp)

inference_handler.cpp

@@ -0,0 +1,387 @@
+#include <whisper.h>
+#include "inference_handler.h"
+#include "common.h"
+#include "whisper_params.h"
+#include "json.hpp"
+
+using json = nlohmann::json;
+
+struct whisper_print_user_data {
+  const whisper_params *params;
+
+  const std::vector<std::vector<float>> *pcmf32s;
+  int progress_prev;
+};
+
+
+// Terminal color map. 10 colors grouped in ranges [0.0, 0.1, ..., 0.9]
+// Lowest is red, middle is yellow, highest is green.
+const std::vector<std::string> k_colors = {
+  "\033[38;5;196m", "\033[38;5;202m", "\033[38;5;208m", "\033[38;5;214m", "\033[38;5;220m",
+  "\033[38;5;226m", "\033[38;5;190m", "\033[38;5;154m", "\033[38;5;118m", "\033[38;5;82m",
+};
+
+
+//  500 -> 00:05.000
+// 6000 -> 01:00.000
+std::string to_timestamp(int64_t t, bool comma = false) {
+  int64_t msec = t * 10;
+  int64_t hr = msec / (1000 * 60 * 60);
+  msec = msec - hr * (1000 * 60 * 60);
+  int64_t min = msec / (1000 * 60);
+  msec = msec - min * (1000 * 60);
+  int64_t sec = msec / 1000;
+  msec = msec - sec * 1000;
+
+  char buf[32];
+  snprintf(buf, sizeof(buf), "%02d:%02d:%02d%s%03d", (int) hr, (int) min, (int) sec, comma ? "," : ".", (int) msec);
+
+  return std::string(buf);
+}
+
+int timestamp_to_sample(int64_t t, int n_samples) {
+  return std::max(0, std::min((int) n_samples - 1, (int) ((t * WHISPER_SAMPLE_RATE) / 100)));
+}
+
+std::string
+estimate_diarization_speaker(std::vector<std::vector<float>> pcmf32s, int64_t t0, int64_t t1, bool id_only = false) {
+  std::string speaker = "";
+  const int64_t n_samples = pcmf32s[0].size();
+
+  const int64_t is0 = timestamp_to_sample(t0, n_samples);
+  const int64_t is1 = timestamp_to_sample(t1, n_samples);
+
+  double energy0 = 0.0f;
+  double energy1 = 0.0f;
+
+  for (int64_t j = is0; j < is1; j++) {
+    energy0 += fabs(pcmf32s[0][j]);
+    energy1 += fabs(pcmf32s[1][j]);
+  }
+
+  if (energy0 > 1.1 * energy1) {
+    speaker = "0";
+  } else if (energy1 > 1.1 * energy0) {
+    speaker = "1";
+  } else {
+    speaker = "?";
+  }
+
+  //printf("is0 = %lld, is1 = %lld, energy0 = %f, energy1 = %f, speaker = %s\n", is0, is1, energy0, energy1, speaker.c_str());
+
+  if (!id_only) {
+    speaker.insert(0, "(speaker ");
+    speaker.append(")");
+  }
+
+  return speaker;
+}
+
+
+void whisper_print_segment_callback(struct whisper_context *ctx, struct whisper_state * /*state*/, int n_new,
+                                    void *user_data) {
+  const auto &params = *((whisper_print_user_data *) user_data)->params;
+  const auto &pcmf32s = *((whisper_print_user_data *) user_data)->pcmf32s;
+
+  const int n_segments = whisper_full_n_segments(ctx);
+
+  std::string speaker = "";
+
+  int64_t t0 = 0;
+  int64_t t1 = 0;
+
+  // print the last n_new segments
+  const int s0 = n_segments - n_new;
+
+  if (s0 == 0) {
+    printf("\n");
+  }
+
+  for (int i = s0; i < n_segments; i++) {
+    if (!params.no_timestamps || params.diarize) {
+      t0 = whisper_full_get_segment_t0(ctx, i);
+      t1 = whisper_full_get_segment_t1(ctx, i);
+    }
+
+    if (!params.no_timestamps) {
+      printf("[%s --> %s]  ", to_timestamp(t0).c_str(), to_timestamp(t1).c_str());
+    }
+
+    if (params.diarize && pcmf32s.size() == 2) {
+      speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
+    }
+
+    if (params.print_colors) {
+      for (int j = 0; j < whisper_full_n_tokens(ctx, i); ++j) {
+        if (params.print_special == false) {
+          const whisper_token id = whisper_full_get_token_id(ctx, i, j);
+          if (id >= whisper_token_eot(ctx)) {
+            continue;
+          }
+        }
+
+        const char *text = whisper_full_get_token_text(ctx, i, j);
+        const float p = whisper_full_get_token_p(ctx, i, j);
+
+        const int col = std::max(0, std::min((int) k_colors.size() - 1,
+                                             (int) (std::pow(p, 3) * float(k_colors.size()))));
+
+        printf("%s%s%s%s", speaker.c_str(), k_colors[col].c_str(), text, "\033[0m");
+      }
+    } else {
+      const char *text = whisper_full_get_segment_text(ctx, i);
+
+      printf("%s%s", speaker.c_str(), text);
+    }
+
+    if (params.tinydiarize) {
+      if (whisper_full_get_segment_speaker_turn_next(ctx, i)) {
+        printf("%s", params.tdrz_speaker_turn.c_str());
+      }
+    }
+
+    // with timestamps or speakers: each segment on new line
+    if (!params.no_timestamps || params.diarize) {
+      printf("\n");
+    }
+    fflush(stdout);
+  }
+}
+
+std::string
+output_str(struct whisper_context *ctx, const whisper_params &params, std::vector<std::vector<float>> pcmf32s) {
+  std::stringstream result;
+  const int n_segments = whisper_full_n_segments(ctx);
+  for (int i = 0; i < n_segments; ++i) {
+    const char *text = whisper_full_get_segment_text(ctx, i);
+    std::string speaker = "";
+
+    if (params.diarize && pcmf32s.size() == 2) {
+      const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
+      const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
+      speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
+    }
+
+    result << speaker << text << "\n";
+  }
+  return result.str();
+}
+
+
+void whisper_print_progress_callback(struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, int progress,
+                                     void *user_data) {
+  int progress_step = ((whisper_print_user_data *) user_data)->params->progress_step;
+  int *progress_prev = &(((whisper_print_user_data *) user_data)->progress_prev);
+  if (progress >= *progress_prev + progress_step) {
+    *progress_prev += progress_step;
+    fprintf(stderr, "%s: progress = %3d%%\n", __func__, progress);
+  }
+}
+
+void getReqParameters(const Request &req, whisper_params &params) {
+// user model configu.has_fileion
+  if (req.has_file("offset-t")) {
+    params.offset_t_ms = std::stoi(req.get_file_value("offset-t").content);
+  }
+  if (req.has_file("offset-n")) {
+    params.offset_n = std::stoi(req.get_file_value("offset-n").content);
+  }
+  if (req.has_file("duration")) {
+    params.duration_ms = std::stoi(req.get_file_value("duration").content);
+  }
+  if (req.has_file("max-context")) {
+    params.max_context = std::stoi(req.get_file_value("max-context").content);
+  }
+  if (req.has_file("prompt")) {
+    params.prompt = req.get_file_value("prompt").content;
+  }
+  if (req.has_file("response-format")) {
+    params.response_format = req.get_file_value("response-format").content;
+  }
+  if (req.has_file("temerature")) {
+    params.userdef_temp = std::stof(req.get_file_value("temperature").content);
+  }
+}
+
+
+void getReqParameters(const Request &request, whisper_params &params);
+
+void handleInference(const Request &req, Response &res, std::mutex &whisper_mutex, whisper_params &params,
+                     whisper_context *ctx, char *arg_audio_file) {
+// aquire whisper model mutex lock
+  whisper_mutex.lock();
+
+  // first check user requested fields of the request
+  if (!req.has_file("file")) {
+    fprintf(stderr, "error: no 'file' field in the request\n");
+    const std::string error_resp = "{\"error\":\"no 'file' field in the request\"}";
+    res.set_content(error_resp, "application/json");
+    whisper_mutex.unlock();
+    return;
+  }
+  auto audio_file = req.get_file_value("file");
+
+  // check non-required fields
+  getReqParameters(req, params);
+
+  std::string filename{audio_file.filename};
+  printf("Received request: %s\n", filename.c_str());
+
+  // audio arrays
+  std::vector<float> pcmf32;               // mono-channel F32 PCM
+  std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
+
+  // write file to temporary file
+  std::ofstream temp_file{filename, std::ios::binary};
+  temp_file << audio_file.content;
+
+  // read wav content into pcmf32
+  if (!::read_wav(filename, pcmf32, pcmf32s, params.diarize)) {
+    fprintf(stderr, "error: failed to read WAV file '%s'\n", filename.c_str());
+    const std::string error_resp = "{\"error\":\"failed to read WAV file\"}";
+    res.set_content(error_resp, "application/json");
+    whisper_mutex.unlock();
+    return;
+  }
+  // remove temp file
+  std::remove(filename.c_str());
+
+  printf("Successfully loaded %s\n", filename.c_str());
+
+  // print system information
+  {
+    fprintf(stderr, "\n");
+    fprintf(stderr, "system_info: n_threads = %d / %d | %s\n",
+            params.n_threads * params.n_processors, std::thread::hardware_concurrency(), whisper_print_system_info());
+  }
+
+  // print some info about the processing
+  {
+    fprintf(stderr, "\n");
+    if (!whisper_is_multilingual(ctx)) {
+      if (params.language != "en" || params.translate) {
+        params.language = "en";
+        params.translate = false;
+        fprintf(stderr, "%s: WARNING: model is not multilingual, ignoring language and translation options\n",
+                __func__);
+      }
+    }
+    if (params.detect_language) {
+      params.language = "auto";
+    }
+    fprintf(stderr,
+            "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, %stimestamps = %d ...\n",
+            __func__, filename.c_str(), int(pcmf32.size()), float(pcmf32.size()) / WHISPER_SAMPLE_RATE,
+            params.n_threads, params.n_processors,
+            params.language.c_str(),
+            params.translate ? "translate" : "transcribe",
+            params.tinydiarize ? "tdrz = 1, " : "",
+            params.no_timestamps ? 0 : 1);
+
+    fprintf(stderr, "\n");
+  }
+
+  // run the inference
+  {
+
+    printf("Running whisper.cpp inference on %s\n", filename.c_str());
+    whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
+
+    wparams.strategy = params.beam_size > 1 ? WHISPER_SAMPLING_BEAM_SEARCH : WHISPER_SAMPLING_GREEDY;
+
+    wparams.print_realtime = false;
+    wparams.print_progress = params.print_progress;
+    wparams.print_timestamps = !params.no_timestamps;
+    wparams.print_special = params.print_special;
+    wparams.translate = params.translate;
+    wparams.language = params.language.c_str();
+    wparams.detect_language = params.detect_language;
+    wparams.n_threads = params.n_threads;
+    wparams.n_max_text_ctx = params.max_context >= 0 ? params.max_context : wparams.n_max_text_ctx;
+    wparams.offset_ms = params.offset_t_ms;
+    wparams.duration_ms = params.duration_ms;
+
+    wparams.thold_pt = params.word_thold;
+    wparams.split_on_word = params.split_on_word;
+
+    wparams.speed_up = params.speed_up;
+    wparams.debug_mode = params.debug_mode;
+
+    wparams.tdrz_enable = params.tinydiarize; // [TDRZ]
+
+    wparams.initial_prompt = params.prompt.c_str();
+
+    wparams.greedy.best_of = params.best_of;
+    wparams.beam_search.beam_size = params.beam_size;
+
+    wparams.temperature_inc = params.userdef_temp;
+    wparams.entropy_thold = params.entropy_thold;
+    wparams.logprob_thold = params.logprob_thold;
+
+    whisper_print_user_data user_data = {&params, &pcmf32s, 0};
+
+    // this callback is called on each new segment
+    if (!wparams.print_realtime) {
+      wparams.new_segment_callback = whisper_print_segment_callback;
+      wparams.new_segment_callback_user_data = &user_data;
+    }
+
+    if (wparams.print_progress) {
+      wparams.progress_callback = whisper_print_progress_callback;
+      wparams.progress_callback_user_data = &user_data;
+    }
+
+    // examples for abort mechanism
+    // in examples below, we do not abort the processing, but we could if the flag is set to true
+
+    // the callback is called before every encoder run - if it returns false, the processing is aborted
+    {
+      static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
+
+      wparams.encoder_begin_callback = [](struct whisper_context * /*ctx*/, struct whisper_state * /*state*/,
+                                          void *user_data) {
+        bool is_aborted = *(bool *) user_data;
+        return !is_aborted;
+      };
+      wparams.encoder_begin_callback_user_data = &is_aborted;
+    }
+
+    // the callback is called before every computation - if it returns true, the computation is aborted
+    {
+      static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
+
+      wparams.abort_callback = [](void *user_data) {
+        bool is_aborted = *(bool *) user_data;
+        return is_aborted;
+      };
+      wparams.abort_callback_user_data = &is_aborted;
+    }
+
+    if (whisper_full_parallel(ctx, wparams, pcmf32.data(), pcmf32.size(), params.n_processors) != 0) {
+      fprintf(stderr, "%s: failed to process audio\n", arg_audio_file);
+      const std::string error_resp = "{\"error\":\"failed to process audio\"}";
+      res.set_content(error_resp, "application/json");
+      whisper_mutex.unlock();
+      return;
+    }
+  }
+
+  // return results to user
+  if (params.response_format == text_format) {
+    std::string results = output_str(ctx, params, pcmf32s);
+    res.set_content(results.c_str(), "text/html");
+  }
+    // TODO add more output formats
+  else {
+    std::string results = output_str(ctx, params, pcmf32s);
+    json jres = json{
+      {"text", results}
+    };
+    res.set_content(jres.dump(-1, ' ', false, json::error_handler_t::replace),
+                    "application/json");
+  }
+
+  // return whisper model mutex lock
+  whisper_mutex.unlock();
+}
+