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https://github.com/ggerganov/whisper.cpp.git
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server : implement "verbose_json" format with token details (#1781)
* examples/server: implement "verbose_json" format with token details. This is intended to mirror the format of openai's Python whisper.transcribe() return values. * server: don't write WAV to a temporary file if not converting * server: use std::lock_guard instead of manual lock/unlock
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@ -639,6 +639,12 @@ bool read_wav(const std::string & fname, std::vector<float>& pcmf32, std::vector
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fprintf(stderr, "%s: read %zu bytes from stdin\n", __func__, wav_data.size());
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fprintf(stderr, "%s: read %zu bytes from stdin\n", __func__, wav_data.size());
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}
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}
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else if (fname.size() > 256 || fname.size() > 40 && fname.substr(0, 4) == "RIFF" && fname.substr(8, 4) == "WAVE") {
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if (drwav_init_memory(&wav, fname.c_str(), fname.size(), nullptr) == false) {
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fprintf(stderr, "error: failed to open WAV file from fname buffer\n");
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return false;
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}
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}
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else if (drwav_init_file(&wav, fname.c_str(), nullptr) == false) {
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else if (drwav_init_file(&wav, fname.c_str(), nullptr) == false) {
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fprintf(stderr, "error: failed to open '%s' as WAV file\n", fname.c_str());
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fprintf(stderr, "error: failed to open '%s' as WAV file\n", fname.c_str());
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return false;
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return false;
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@ -136,6 +136,7 @@ gpt_vocab::id gpt_sample_top_k_top_p_repeat(
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//
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//
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// Read WAV audio file and store the PCM data into pcmf32
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// Read WAV audio file and store the PCM data into pcmf32
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// fname can be a buffer of WAV data instead of a filename
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// The sample rate of the audio must be equal to COMMON_SAMPLE_RATE
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// The sample rate of the audio must be equal to COMMON_SAMPLE_RATE
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// If stereo flag is set and the audio has 2 channels, the pcmf32s will contain 2 channel PCM
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// If stereo flag is set and the audio has 2 channels, the pcmf32s will contain 2 channel PCM
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bool read_wav(
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bool read_wav(
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@ -18,7 +18,7 @@
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#endif
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#endif
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using namespace httplib;
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using namespace httplib;
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using json = nlohmann::json;
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using json = nlohmann::ordered_json;
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namespace {
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namespace {
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@ -556,7 +556,7 @@ int main(int argc, char ** argv) {
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svr.Post(sparams.request_path + "/inference", [&](const Request &req, Response &res){
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svr.Post(sparams.request_path + "/inference", [&](const Request &req, Response &res){
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// acquire whisper model mutex lock
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// acquire whisper model mutex lock
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whisper_mutex.lock();
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std::lock_guard<std::mutex> lock(whisper_mutex);
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// first check user requested fields of the request
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// first check user requested fields of the request
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if (!req.has_file("file"))
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if (!req.has_file("file"))
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@ -564,7 +564,6 @@ int main(int argc, char ** argv) {
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fprintf(stderr, "error: no 'file' field in the request\n");
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fprintf(stderr, "error: no 'file' field in the request\n");
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const std::string error_resp = "{\"error\":\"no 'file' field in the request\"}";
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const std::string error_resp = "{\"error\":\"no 'file' field in the request\"}";
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res.set_content(error_resp, "application/json");
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res.set_content(error_resp, "application/json");
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whisper_mutex.unlock();
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return;
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return;
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}
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}
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auto audio_file = req.get_file_value("file");
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auto audio_file = req.get_file_value("file");
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@ -579,35 +578,42 @@ int main(int argc, char ** argv) {
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std::vector<float> pcmf32; // mono-channel F32 PCM
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std::vector<float> pcmf32; // mono-channel F32 PCM
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std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
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std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
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// write to temporary file
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const std::string temp_filename = "whisper_server_temp_file.wav";
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std::ofstream temp_file{temp_filename, std::ios::binary};
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temp_file << audio_file.content;
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temp_file.close();
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// if file is not wav, convert to wav
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if (sparams.ffmpeg_converter) {
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if (sparams.ffmpeg_converter) {
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// if file is not wav, convert to wav
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// write to temporary file
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const std::string temp_filename = "whisper_server_temp_file.wav";
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std::ofstream temp_file{temp_filename, std::ios::binary};
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temp_file << audio_file.content;
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temp_file.close();
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std::string error_resp = "{\"error\":\"Failed to execute ffmpeg command.\"}";
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std::string error_resp = "{\"error\":\"Failed to execute ffmpeg command.\"}";
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const bool is_converted = convert_to_wav(temp_filename, error_resp);
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const bool is_converted = convert_to_wav(temp_filename, error_resp);
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if (!is_converted) {
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if (!is_converted) {
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res.set_content(error_resp, "application/json");
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res.set_content(error_resp, "application/json");
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whisper_mutex.unlock();
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return;
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}
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// read wav content into pcmf32
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if (!::read_wav(temp_filename, pcmf32, pcmf32s, params.diarize))
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{
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fprintf(stderr, "error: failed to read WAV file '%s'\n", temp_filename.c_str());
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const std::string error_resp = "{\"error\":\"failed to read WAV file\"}";
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res.set_content(error_resp, "application/json");
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std::remove(temp_filename.c_str());
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return;
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}
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// remove temp file
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std::remove(temp_filename.c_str());
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} else {
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if (!::read_wav(audio_file.content, pcmf32, pcmf32s, params.diarize))
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{
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fprintf(stderr, "error: failed to read WAV file\n");
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const std::string error_resp = "{\"error\":\"failed to read WAV file\"}";
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res.set_content(error_resp, "application/json");
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return;
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return;
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}
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}
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}
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}
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// read wav content into pcmf32
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if (!::read_wav(temp_filename, pcmf32, pcmf32s, params.diarize)) {
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fprintf(stderr, "error: failed to read WAV file '%s'\n", temp_filename.c_str());
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const std::string error_resp = "{\"error\":\"failed to read WAV file\"}";
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res.set_content(error_resp, "application/json");
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std::remove(temp_filename.c_str());
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whisper_mutex.unlock();
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return;
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}
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// remove temp file
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std::remove(temp_filename.c_str());
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printf("Successfully loaded %s\n", filename.c_str());
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printf("Successfully loaded %s\n", filename.c_str());
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@ -681,6 +687,7 @@ int main(int argc, char ** argv) {
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wparams.logprob_thold = params.logprob_thold;
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wparams.logprob_thold = params.logprob_thold;
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wparams.no_timestamps = params.no_timestamps;
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wparams.no_timestamps = params.no_timestamps;
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wparams.token_timestamps = !params.no_timestamps && params.response_format == vjson_format;
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whisper_print_user_data user_data = { ¶ms, &pcmf32s, 0 };
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whisper_print_user_data user_data = { ¶ms, &pcmf32s, 0 };
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@ -724,7 +731,6 @@ int main(int argc, char ** argv) {
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fprintf(stderr, "%s: failed to process audio\n", argv[0]);
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fprintf(stderr, "%s: failed to process audio\n", argv[0]);
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const std::string error_resp = "{\"error\":\"failed to process audio\"}";
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const std::string error_resp = "{\"error\":\"failed to process audio\"}";
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res.set_content(error_resp, "application/json");
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res.set_content(error_resp, "application/json");
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whisper_mutex.unlock();
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return;
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return;
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}
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}
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}
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}
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@ -778,6 +784,43 @@ int main(int argc, char ** argv) {
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ss << speaker << text << "\n\n";
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ss << speaker << text << "\n\n";
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}
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}
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res.set_content(ss.str(), "text/vtt");
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res.set_content(ss.str(), "text/vtt");
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} else if (params.response_format == vjson_format) {
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/* try to match openai/whisper's Python format */
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std::string results = output_str(ctx, params, pcmf32s);
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json jres = json{{"text", results}};
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const int n_segments = whisper_full_n_segments(ctx);
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for (int i = 0; i < n_segments; ++i)
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{
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json segment = json{
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{"id", i},
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{"text", whisper_full_get_segment_text(ctx, i)},
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};
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if (!params.no_timestamps) {
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segment["start"] = whisper_full_get_segment_t0(ctx, i) * 0.01;
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segment["end"] = whisper_full_get_segment_t1(ctx, i) * 0.01;
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}
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const int n_tokens = whisper_full_n_tokens(ctx, i);
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for (int j = 0; j < n_tokens; ++j) {
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whisper_token_data token = whisper_full_get_token_data(ctx, i, j);
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if (token.id >= whisper_token_eot(ctx)) {
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continue;
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}
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segment["tokens"].push_back(token.id);
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json word = json{{"word", whisper_full_get_token_text(ctx, i, j)}};
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if (!params.no_timestamps) {
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word["start"] = token.t0 * 0.01;
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word["end"] = token.t1 * 0.01;
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}
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word["probability"] = token.p;
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segment["words"].push_back(word);
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}
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jres["segments"].push_back(segment);
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}
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res.set_content(jres.dump(-1, ' ', false, json::error_handler_t::replace),
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"application/json");
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}
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}
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// TODO add more output formats
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// TODO add more output formats
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else
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else
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@ -792,18 +835,14 @@ int main(int argc, char ** argv) {
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// reset params to thier defaults
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// reset params to thier defaults
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params = default_params;
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params = default_params;
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// return whisper model mutex lock
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whisper_mutex.unlock();
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});
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});
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svr.Post(sparams.request_path + "/load", [&](const Request &req, Response &res){
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svr.Post(sparams.request_path + "/load", [&](const Request &req, Response &res){
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whisper_mutex.lock();
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std::lock_guard<std::mutex> lock(whisper_mutex);
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if (!req.has_file("model"))
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if (!req.has_file("model"))
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{
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{
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fprintf(stderr, "error: no 'model' field in the request\n");
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fprintf(stderr, "error: no 'model' field in the request\n");
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const std::string error_resp = "{\"error\":\"no 'model' field in the request\"}";
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const std::string error_resp = "{\"error\":\"no 'model' field in the request\"}";
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res.set_content(error_resp, "application/json");
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res.set_content(error_resp, "application/json");
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whisper_mutex.unlock();
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return;
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return;
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}
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}
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std::string model = req.get_file_value("model").content;
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std::string model = req.get_file_value("model").content;
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@ -812,7 +851,6 @@ int main(int argc, char ** argv) {
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fprintf(stderr, "error: 'model': %s not found!\n", model.c_str());
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fprintf(stderr, "error: 'model': %s not found!\n", model.c_str());
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const std::string error_resp = "{\"error\":\"model not found!\"}";
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const std::string error_resp = "{\"error\":\"model not found!\"}";
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res.set_content(error_resp, "application/json");
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res.set_content(error_resp, "application/json");
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whisper_mutex.unlock();
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return;
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return;
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}
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}
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@ -835,7 +873,6 @@ int main(int argc, char ** argv) {
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res.set_content(success, "application/text");
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res.set_content(success, "application/text");
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// check if the model is in the file system
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// check if the model is in the file system
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whisper_mutex.unlock();
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});
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});
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svr.set_exception_handler([](const Request &, Response &res, std::exception_ptr ep) {
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svr.set_exception_handler([](const Request &, Response &res, std::exception_ptr ep) {
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