server: add support for carry_initial_prompt (#3781)
* Add support for carry_initial_prompt on the server * Update README
This commit is contained in:
Andreas Lubbe
GitHub
parent
46ca43d639
commit
968eebe772
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@ -40,6 +40,7 @@ options:
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-l LANG, --language LANG [en ] spoken language ('auto' for auto-detect)
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-dl, --detect-language [false ] exit after automatically detecting language
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--prompt PROMPT [ ] initial prompt
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--carry-initial-prompt [false ] always prepend initial prompt
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-m FNAME, --model FNAME [models/ggml-base.en.bin] model path
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-oved D, --ov-e-device DNAME [CPU ] the OpenVINO device used for encode inference
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-dtw MODEL --dtw MODEL [ ] compute token-level timestamps
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@ -78,6 +79,8 @@ curl 127.0.0.1:8080/inference \
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-F file="@<file-path>" \
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-F temperature="0.0" \
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-F temperature_inc="0.2" \
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-F prompt="<prompt>" \
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-F carry_initial_prompt="true" \
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-F response_format="json"
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```
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@ -56,11 +56,11 @@ inline void signal_handler(int signal) {
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struct server_params
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{
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std::string hostname = "127.0.0.1";
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std::string public_path = "examples/server/public";
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std::string request_path = "";
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std::string hostname = "127.0.0.1";
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std::string public_path = "examples/server/public";
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std::string request_path = "";
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std::string inference_path = "/inference";
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std::string tmp_dir = ".";
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std::string tmp_dir = ".";
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int32_t port = 8080;
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int32_t read_timeout = 600;
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@ -89,49 +89,45 @@ struct whisper_params {
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float temperature_inc = 0.20f;
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float no_speech_thold = 0.6f;
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bool debug_mode = false;
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bool translate = false;
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bool detect_language = false;
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bool diarize = false;
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bool tinydiarize = false;
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bool split_on_word = false;
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bool no_fallback = false;
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bool print_special = false;
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bool print_colors = false;
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bool print_realtime = false;
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bool print_progress = false;
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bool no_timestamps = false;
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bool token_timestamps = true;
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bool use_gpu = true;
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bool flash_attn = true;
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int32_t gpu_device = 0;
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bool suppress_nst = false;
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bool no_context = true;
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bool debug_mode = false;
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bool translate = false;
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bool detect_language = false;
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bool diarize = false;
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bool tinydiarize = false;
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bool split_on_word = false;
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bool no_fallback = false;
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bool print_special = false;
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bool print_colors = false;
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bool print_realtime = false;
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bool print_progress = false;
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bool no_timestamps = false;
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bool token_timestamps = true;
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bool use_gpu = true;
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bool flash_attn = true;
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int32_t gpu_device = 0;
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bool suppress_nst = false;
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bool no_context = true;
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bool no_language_probabilities = false;
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bool carry_initial_prompt = false;
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std::string language = "en";
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std::string prompt = "";
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std::string font_path = "/System/Library/Fonts/Supplemental/Courier New Bold.ttf";
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std::string model = "models/ggml-base.en.bin";
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std::string response_format = json_format;
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// [TDRZ] speaker turn string
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std::string tdrz_speaker_turn = " [SPEAKER_TURN]"; // TODO: set from command line
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std::string language = "en";
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std::string prompt = "";
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std::string font_path = "/System/Library/Fonts/Supplemental/Courier New Bold.ttf";
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std::string model = "models/ggml-base.en.bin";
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std::string response_format = json_format;
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std::string tdrz_speaker_turn = " [SPEAKER_TURN]"; // TODO: set from command line
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std::string openvino_encode_device = "CPU";
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std::string dtw = "";
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std::string dtw = "";
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// Voice Activity Detection (VAD) parameters
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bool vad = false;
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std::string vad_model = "";
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float vad_threshold = 0.5f;
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int vad_min_speech_duration_ms = 250;
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bool vad = false;
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std::string vad_model = "";
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float vad_threshold = 0.5f;
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int vad_min_speech_duration_ms = 250;
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int vad_min_silence_duration_ms = 100;
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float vad_max_speech_duration_s = FLT_MAX;
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int vad_speech_pad_ms = 30;
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float vad_samples_overlap = 0.1f;
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float vad_max_speech_duration_s = FLT_MAX;
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int vad_speech_pad_ms = 30;
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float vad_samples_overlap = 0.1f;
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};
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void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params, const server_params& sparams) {
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@ -139,51 +135,52 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
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fprintf(stderr, "usage: %s [options] \n", argv[0]);
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fprintf(stderr, "\n");
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fprintf(stderr, "options:\n");
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fprintf(stderr, " -h, --help [default] show this help message and exit\n");
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fprintf(stderr, " -t N, --threads N [%-7d] number of threads to use during computation\n", params.n_threads);
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fprintf(stderr, " -p N, --processors N [%-7d] number of processors to use during computation\n", params.n_processors);
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fprintf(stderr, " -ot N, --offset-t N [%-7d] time offset in milliseconds\n", params.offset_t_ms);
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fprintf(stderr, " -on N, --offset-n N [%-7d] segment index offset\n", params.offset_n);
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fprintf(stderr, " -d N, --duration N [%-7d] duration of audio to process in milliseconds\n", params.duration_ms);
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fprintf(stderr, " -mc N, --max-context N [%-7d] maximum number of text context tokens to store\n", params.max_context);
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fprintf(stderr, " -ml N, --max-len N [%-7d] maximum segment length in characters\n", params.max_len);
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fprintf(stderr, " -sow, --split-on-word [%-7s] split on word rather than on token\n", params.split_on_word ? "true" : "false");
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fprintf(stderr, " -bo N, --best-of N [%-7d] number of best candidates to keep\n", params.best_of);
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fprintf(stderr, " -bs N, --beam-size N [%-7d] beam size for beam search\n", params.beam_size);
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fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx);
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fprintf(stderr, " -wt N, --word-thold N [%-7.2f] word timestamp probability threshold\n", params.word_thold);
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fprintf(stderr, " -et N, --entropy-thold N [%-7.2f] entropy threshold for decoder fail\n", params.entropy_thold);
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fprintf(stderr, " -lpt N, --logprob-thold N [%-7.2f] log probability threshold for decoder fail\n", params.logprob_thold);
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fprintf(stderr, " -debug, --debug-mode [%-7s] enable debug mode (eg. dump log_mel)\n", params.debug_mode ? "true" : "false");
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fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
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fprintf(stderr, " -di, --diarize [%-7s] stereo audio diarization\n", params.diarize ? "true" : "false");
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fprintf(stderr, " -tdrz, --tinydiarize [%-7s] enable tinydiarize (requires a tdrz model)\n", params.tinydiarize ? "true" : "false");
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fprintf(stderr, " -nf, --no-fallback [%-7s] do not use temperature fallback while decoding\n", params.no_fallback ? "true" : "false");
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fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false");
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fprintf(stderr, " -pc, --print-colors [%-7s] print colors\n", params.print_colors ? "true" : "false");
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fprintf(stderr, " -pr, --print-realtime [%-7s] print output in realtime\n", params.print_realtime ? "true" : "false");
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fprintf(stderr, " -pp, --print-progress [%-7s] print progress\n", params.print_progress ? "true" : "false");
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fprintf(stderr, " -nt, --no-timestamps [%-7s] do not print timestamps\n", params.no_timestamps ? "true" : "false");
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fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language ('auto' for auto-detect)\n", params.language.c_str());
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fprintf(stderr, " -dl, --detect-language [%-7s] exit after automatically detecting language\n", params.detect_language ? "true" : "false");
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fprintf(stderr, " --prompt PROMPT [%-7s] initial prompt\n", params.prompt.c_str());
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fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
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fprintf(stderr, " -oved D, --ov-e-device DNAME [%-7s] the OpenVINO device used for encode inference\n", params.openvino_encode_device.c_str());
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fprintf(stderr, " -h, --help [default] show this help message and exit\n");
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fprintf(stderr, " -t N, --threads N [%-7d] number of threads to use during computation\n", params.n_threads);
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fprintf(stderr, " -p N, --processors N [%-7d] number of processors to use during computation\n", params.n_processors);
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fprintf(stderr, " -ot N, --offset-t N [%-7d] time offset in milliseconds\n", params.offset_t_ms);
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fprintf(stderr, " -on N, --offset-n N [%-7d] segment index offset\n", params.offset_n);
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fprintf(stderr, " -d N, --duration N [%-7d] duration of audio to process in milliseconds\n", params.duration_ms);
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fprintf(stderr, " -mc N, --max-context N [%-7d] maximum number of text context tokens to store\n", params.max_context);
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fprintf(stderr, " -ml N, --max-len N [%-7d] maximum segment length in characters\n", params.max_len);
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fprintf(stderr, " -sow, --split-on-word [%-7s] split on word rather than on token\n", params.split_on_word ? "true" : "false");
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fprintf(stderr, " -bo N, --best-of N [%-7d] number of best candidates to keep\n", params.best_of);
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fprintf(stderr, " -bs N, --beam-size N [%-7d] beam size for beam search\n", params.beam_size);
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fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx);
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fprintf(stderr, " -wt N, --word-thold N [%-7.2f] word timestamp probability threshold\n", params.word_thold);
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fprintf(stderr, " -et N, --entropy-thold N [%-7.2f] entropy threshold for decoder fail\n", params.entropy_thold);
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fprintf(stderr, " -lpt N, --logprob-thold N [%-7.2f] log probability threshold for decoder fail\n", params.logprob_thold);
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fprintf(stderr, " -debug, --debug-mode [%-7s] enable debug mode (eg. dump log_mel)\n", params.debug_mode ? "true" : "false");
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fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
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fprintf(stderr, " -di, --diarize [%-7s] stereo audio diarization\n", params.diarize ? "true" : "false");
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fprintf(stderr, " -tdrz, --tinydiarize [%-7s] enable tinydiarize (requires a tdrz model)\n", params.tinydiarize ? "true" : "false");
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fprintf(stderr, " -nf, --no-fallback [%-7s] do not use temperature fallback while decoding\n", params.no_fallback ? "true" : "false");
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fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false");
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fprintf(stderr, " -pc, --print-colors [%-7s] print colors\n", params.print_colors ? "true" : "false");
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fprintf(stderr, " -pr, --print-realtime [%-7s] print output in realtime\n", params.print_realtime ? "true" : "false");
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fprintf(stderr, " -pp, --print-progress [%-7s] print progress\n", params.print_progress ? "true" : "false");
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fprintf(stderr, " -nt, --no-timestamps [%-7s] do not print timestamps\n", params.no_timestamps ? "true" : "false");
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fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language ('auto' for auto-detect)\n", params.language.c_str());
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fprintf(stderr, " -dl, --detect-language [%-7s] exit after automatically detecting language\n", params.detect_language ? "true" : "false");
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fprintf(stderr, " --prompt PROMPT [%-7s] initial prompt\n", params.prompt.c_str());
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fprintf(stderr, " --carry-initial-prompt [%-7s] always prepend initial prompt\n", params.carry_initial_prompt ? "true" : "false");
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fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
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fprintf(stderr, " -oved D, --ov-e-device DNAME [%-7s] the OpenVINO device used for encode inference\n", params.openvino_encode_device.c_str());
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// server params
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fprintf(stderr, " -dtw MODEL --dtw MODEL [%-7s] compute token-level timestamps\n", params.dtw.c_str());
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fprintf(stderr, " --host HOST, [%-7s] Hostname/ip-adress for the server\n", sparams.hostname.c_str());
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fprintf(stderr, " --port PORT, [%-7d] Port number for the server\n", sparams.port);
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fprintf(stderr, " --public PATH, [%-7s] Path to the public folder\n", sparams.public_path.c_str());
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fprintf(stderr, " --request-path PATH, [%-7s] Request path for all requests\n", sparams.request_path.c_str());
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fprintf(stderr, " --inference-path PATH, [%-7s] Inference path for all requests\n", sparams.inference_path.c_str());
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fprintf(stderr, " --convert, [%-7s] Convert audio to WAV, requires ffmpeg on the server\n", sparams.ffmpeg_converter ? "true" : "false");
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fprintf(stderr, " --tmp-dir, [%-7s] Temporary directory for ffmpeg transcoded files\n", sparams.tmp_dir.c_str());
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fprintf(stderr, " -sns, --suppress-nst [%-7s] suppress non-speech tokens\n", params.suppress_nst ? "true" : "false");
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fprintf(stderr, " -nth N, --no-speech-thold N [%-7.2f] no speech threshold\n", params.no_speech_thold);
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fprintf(stderr, " -ng, --no-gpu [%-7s] do not use gpu\n", params.use_gpu ? "false" : "true");
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fprintf(stderr, " -dev N, --device N [%-7d] GPU device ID (default: 0)\n", params.gpu_device);
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fprintf(stderr, " -fa, --flash-attn [%-7s] enable flash attention\n", params.flash_attn ? "true" : "false");
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fprintf(stderr, " -nfa, --no-flash-attn [%-7s] disable flash attention\n", params.flash_attn ? "false" : "true");
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fprintf(stderr, " -dtw MODEL --dtw MODEL [%-7s] compute token-level timestamps\n", params.dtw.c_str());
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fprintf(stderr, " --host HOST, [%-7s] Hostname/ip-adress for the server\n", sparams.hostname.c_str());
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fprintf(stderr, " --port PORT, [%-7d] Port number for the server\n", sparams.port);
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fprintf(stderr, " --public PATH, [%-7s] Path to the public folder\n", sparams.public_path.c_str());
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fprintf(stderr, " --request-path PATH, [%-7s] Request path for all requests\n", sparams.request_path.c_str());
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fprintf(stderr, " --inference-path PATH, [%-7s] Inference path for all requests\n", sparams.inference_path.c_str());
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fprintf(stderr, " --convert, [%-7s] Convert audio to WAV, requires ffmpeg on the server\n", sparams.ffmpeg_converter ? "true" : "false");
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fprintf(stderr, " --tmp-dir, [%-7s] Temporary directory for ffmpeg transcoded files\n", sparams.tmp_dir.c_str());
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fprintf(stderr, " -sns, --suppress-nst [%-7s] suppress non-speech tokens\n", params.suppress_nst ? "true" : "false");
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fprintf(stderr, " -nth N, --no-speech-thold N [%-7.2f] no speech threshold\n", params.no_speech_thold);
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fprintf(stderr, " -ng, --no-gpu [%-7s] do not use gpu\n", params.use_gpu ? "false" : "true");
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fprintf(stderr, " -dev N, --device N [%-7d] GPU device ID (default: 0)\n", params.gpu_device);
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fprintf(stderr, " -fa, --flash-attn [%-7s] enable flash attention\n", params.flash_attn ? "true" : "false");
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fprintf(stderr, " -nfa, --no-flash-attn [%-7s] disable flash attention\n", params.flash_attn ? "false" : "true");
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fprintf(stderr, " -nlp, --no-language-probabilities [%-7s] exclude language probabilities from verbose_json output\n", params.no_language_probabilities ? "true" : "false");
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// Voice Activity Detection (VAD) parameters
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fprintf(stderr, "\nVoice Activity Detection (VAD) options:\n");
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@ -191,10 +188,8 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
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fprintf(stderr, " -vm FNAME, --vad-model FNAME [%-7s] VAD model path\n", params.vad_model.c_str());
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fprintf(stderr, " -vt N, --vad-threshold N [%-7.2f] VAD threshold for speech recognition\n", params.vad_threshold);
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fprintf(stderr, " -vspd N, --vad-min-speech-duration-ms N [%-7d] VAD min speech duration (0.0-1.0)\n", params.vad_min_speech_duration_ms);
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fprintf(stderr, " -vsd N, --vad-min-silence-duration-ms N [%-7d] VAD min silence duration (to split segments)\n", params.vad_min_silence_duration_ms);
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fprintf(stderr, " -vmsd N, --vad-max-speech-duration-s N [%-7s] VAD max speech duration (auto-split longer)\n", params.vad_max_speech_duration_s == FLT_MAX ?
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std::string("FLT_MAX").c_str() :
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std::to_string(params.vad_max_speech_duration_s).c_str());
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fprintf(stderr, " -vsd N, --vad-min-silence-duration-ms N [%-7d] VAD min silence duration (to split segments)\n", params.vad_min_silence_duration_ms);
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fprintf(stderr, " -vmsd N, --vad-max-speech-duration-s N [%-7s] VAD max speech duration (auto-split longer)\n", params.vad_max_speech_duration_s == FLT_MAX ? std::string("FLT_MAX").c_str() : std::to_string(params.vad_max_speech_duration_s).c_str());
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fprintf(stderr, " -vp N, --vad-speech-pad-ms N [%-7d] VAD speech padding (extend segments)\n", params.vad_speech_pad_ms);
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fprintf(stderr, " -vo N, --vad-samples-overlap N [%-7.2f] VAD samples overlap (seconds between segments)\n", params.vad_samples_overlap);
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fprintf(stderr, "\n");
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@ -212,63 +207,64 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params, serve
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whisper_print_usage(argc, argv, params, sparams);
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exit(0);
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}
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else if (arg == "-t" || arg == "--threads") { params.n_threads = std::stoi(argv[++i]); }
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else if (arg == "-p" || arg == "--processors") { params.n_processors = std::stoi(argv[++i]); }
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else if (arg == "-ot" || arg == "--offset-t") { params.offset_t_ms = std::stoi(argv[++i]); }
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else if (arg == "-on" || arg == "--offset-n") { params.offset_n = std::stoi(argv[++i]); }
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else if (arg == "-d" || arg == "--duration") { params.duration_ms = std::stoi(argv[++i]); }
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else if (arg == "-mc" || arg == "--max-context") { params.max_context = std::stoi(argv[++i]); }
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else if (arg == "-ml" || arg == "--max-len") { params.max_len = std::stoi(argv[++i]); }
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else if (arg == "-bo" || arg == "--best-of") { params.best_of = std::stoi(argv[++i]); }
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else if (arg == "-bs" || arg == "--beam-size") { params.beam_size = std::stoi(argv[++i]); }
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else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
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else if (arg == "-wt" || arg == "--word-thold") { params.word_thold = std::stof(argv[++i]); }
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else if (arg == "-et" || arg == "--entropy-thold") { params.entropy_thold = std::stof(argv[++i]); }
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else if (arg == "-lpt" || arg == "--logprob-thold") { params.logprob_thold = std::stof(argv[++i]); }
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else if (arg == "-debug"|| arg == "--debug-mode") { params.debug_mode = true; }
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else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
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else if (arg == "-di" || arg == "--diarize") { params.diarize = true; }
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else if (arg == "-tdrz" || arg == "--tinydiarize") { params.tinydiarize = true; }
|
||||
else if (arg == "-sow" || arg == "--split-on-word") { params.split_on_word = true; }
|
||||
else if (arg == "-nf" || arg == "--no-fallback") { params.no_fallback = true; }
|
||||
else if (arg == "-fp" || arg == "--font-path") { params.font_path = argv[++i]; }
|
||||
else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
|
||||
else if (arg == "-pc" || arg == "--print-colors") { params.print_colors = true; }
|
||||
else if (arg == "-pr" || arg == "--print-realtime") { params.print_realtime = true; }
|
||||
else if (arg == "-pp" || arg == "--print-progress") { params.print_progress = true; }
|
||||
else if (arg == "-nt" || arg == "--no-timestamps") { params.no_timestamps = true; }
|
||||
else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
|
||||
else if (arg == "-dl" || arg == "--detect-language") { params.detect_language = true; }
|
||||
else if ( arg == "--prompt") { params.prompt = argv[++i]; }
|
||||
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
|
||||
else if (arg == "-oved" || arg == "--ov-e-device") { params.openvino_encode_device = argv[++i]; }
|
||||
else if (arg == "-dtw" || arg == "--dtw") { params.dtw = argv[++i]; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else if (arg == "-dev" || arg == "--device") { params.gpu_device = std::stoi(argv[++i]); }
|
||||
else if (arg == "-fa" || arg == "--flash-attn") { params.flash_attn = true; }
|
||||
else if (arg == "-nfa" || arg == "--no-flash-attn") { params.flash_attn = false; }
|
||||
else if (arg == "-sns" || arg == "--suppress-nst") { params.suppress_nst = true; }
|
||||
else if (arg == "-nth" || arg == "--no-speech-thold") { params.no_speech_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-nlp" || arg == "--no-language-probabilities") { params.no_language_probabilities = true; }
|
||||
else if (arg == "-t" || arg == "--threads") { params.n_threads = std::stoi(argv[++i]); }
|
||||
else if (arg == "-p" || arg == "--processors") { params.n_processors = std::stoi(argv[++i]); }
|
||||
else if (arg == "-ot" || arg == "--offset-t") { params.offset_t_ms = std::stoi(argv[++i]); }
|
||||
else if (arg == "-on" || arg == "--offset-n") { params.offset_n = std::stoi(argv[++i]); }
|
||||
else if (arg == "-d" || arg == "--duration") { params.duration_ms = std::stoi(argv[++i]); }
|
||||
else if (arg == "-mc" || arg == "--max-context") { params.max_context = std::stoi(argv[++i]); }
|
||||
else if (arg == "-ml" || arg == "--max-len") { params.max_len = std::stoi(argv[++i]); }
|
||||
else if (arg == "-bo" || arg == "--best-of") { params.best_of = std::stoi(argv[++i]); }
|
||||
else if (arg == "-bs" || arg == "--beam-size") { params.beam_size = std::stoi(argv[++i]); }
|
||||
else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
|
||||
else if (arg == "-wt" || arg == "--word-thold") { params.word_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-et" || arg == "--entropy-thold") { params.entropy_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-lpt" || arg == "--logprob-thold") { params.logprob_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-debug" || arg == "--debug-mode") { params.debug_mode = true; }
|
||||
else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
|
||||
else if (arg == "-di" || arg == "--diarize") { params.diarize = true; }
|
||||
else if (arg == "-tdrz" || arg == "--tinydiarize") { params.tinydiarize = true; }
|
||||
else if (arg == "-sow" || arg == "--split-on-word") { params.split_on_word = true; }
|
||||
else if (arg == "-nf" || arg == "--no-fallback") { params.no_fallback = true; }
|
||||
else if (arg == "-fp" || arg == "--font-path") { params.font_path = argv[++i]; }
|
||||
else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
|
||||
else if (arg == "-pc" || arg == "--print-colors") { params.print_colors = true; }
|
||||
else if (arg == "-pr" || arg == "--print-realtime") { params.print_realtime = true; }
|
||||
else if (arg == "-pp" || arg == "--print-progress") { params.print_progress = true; }
|
||||
else if (arg == "-nt" || arg == "--no-timestamps") { params.no_timestamps = true; }
|
||||
else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
|
||||
else if (arg == "-dl" || arg == "--detect-language") { params.detect_language = true; }
|
||||
else if ( arg == "--prompt") { params.prompt = argv[++i]; }
|
||||
else if ( arg == "--carry-initial-prompt") { params.carry_initial_prompt = true; }
|
||||
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
|
||||
else if (arg == "-oved" || arg == "--ov-e-device") { params.openvino_encode_device = argv[++i]; }
|
||||
else if (arg == "-dtw" || arg == "--dtw") { params.dtw = argv[++i]; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else if (arg == "-dev" || arg == "--device") { params.gpu_device = std::stoi(argv[++i]); }
|
||||
else if (arg == "-fa" || arg == "--flash-attn") { params.flash_attn = true; }
|
||||
else if (arg == "-nfa" || arg == "--no-flash-attn") { params.flash_attn = false; }
|
||||
else if (arg == "-sns" || arg == "--suppress-nst") { params.suppress_nst = true; }
|
||||
else if (arg == "-nth" || arg == "--no-speech-thold") { params.no_speech_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-nlp" || arg == "--no-language-probabilities") { params.no_language_probabilities = true; }
|
||||
|
||||
// server params
|
||||
else if ( arg == "--port") { sparams.port = std::stoi(argv[++i]); }
|
||||
else if ( arg == "--host") { sparams.hostname = argv[++i]; }
|
||||
else if ( arg == "--public") { sparams.public_path = argv[++i]; }
|
||||
else if ( arg == "--request-path") { sparams.request_path = argv[++i]; }
|
||||
else if ( arg == "--inference-path") { sparams.inference_path = argv[++i]; }
|
||||
else if ( arg == "--convert") { sparams.ffmpeg_converter = true; }
|
||||
else if ( arg == "--tmp-dir") { sparams.tmp_dir = argv[++i]; }
|
||||
else if ( arg == "--port") { sparams.port = std::stoi(argv[++i]); }
|
||||
else if ( arg == "--host") { sparams.hostname = argv[++i]; }
|
||||
else if ( arg == "--public") { sparams.public_path = argv[++i]; }
|
||||
else if ( arg == "--request-path") { sparams.request_path = argv[++i]; }
|
||||
else if ( arg == "--inference-path") { sparams.inference_path = argv[++i]; }
|
||||
else if ( arg == "--convert") { sparams.ffmpeg_converter = true; }
|
||||
else if ( arg == "--tmp-dir") { sparams.tmp_dir = argv[++i]; }
|
||||
|
||||
// Voice Activity Detection (VAD)
|
||||
else if ( arg == "--vad") { params.vad = true; }
|
||||
else if (arg == "-vm" || arg == "--vad-model") { params.vad_model = argv[++i]; }
|
||||
else if (arg == "-vt" || arg == "--vad-threshold") { params.vad_threshold = std::stof(argv[++i]); }
|
||||
else if (arg == "-vspd" || arg == "--vad-min-speech-duration-ms") { params.vad_min_speech_duration_ms = std::stoi(argv[++i]); }
|
||||
else if (arg == "-vsd" || arg == "--vad-min-silence-duration-ms") { params.vad_min_silence_duration_ms = std::stoi(argv[++i]); }
|
||||
else if (arg == "-vmsd" || arg == "--vad-max-speech-duration-s") { params.vad_max_speech_duration_s = std::stof(argv[++i]); }
|
||||
else if (arg == "-vp" || arg == "--vad-speech-pad-ms") { params.vad_speech_pad_ms = std::stoi(argv[++i]); }
|
||||
else if (arg == "-vo" || arg == "--vad-samples-overlap") { params.vad_samples_overlap = std::stof(argv[++i]); }
|
||||
else if ( arg == "--vad") { params.vad = true; }
|
||||
else if (arg == "-vm" || arg == "--vad-model") { params.vad_model = argv[++i]; }
|
||||
else if (arg == "-vt" || arg == "--vad-threshold") { params.vad_threshold = std::stof(argv[++i]); }
|
||||
else if (arg == "-vspd" || arg == "--vad-min-speech-duration-ms") { params.vad_min_speech_duration_ms = std::stoi(argv[++i]); }
|
||||
else if (arg == "-vsd" || arg == "--vad-min-silence-duration-ms") { params.vad_min_silence_duration_ms = std::stoi(argv[++i]); }
|
||||
else if (arg == "-vmsd" || arg == "--vad-max-speech-duration-s") { params.vad_max_speech_duration_s = std::stof(argv[++i]); }
|
||||
else if (arg == "-vp" || arg == "--vad-speech-pad-ms") { params.vad_speech_pad_ms = std::stoi(argv[++i]); }
|
||||
else if (arg == "-vo" || arg == "--vad-samples-overlap") { params.vad_samples_overlap = std::stof(argv[++i]); }
|
||||
else {
|
||||
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
|
||||
whisper_print_usage(argc, argv, params, sparams);
|
||||
|
|
@ -573,6 +569,10 @@ void get_req_parameters(const Request & req, whisper_params & params)
|
|||
{
|
||||
params.prompt = req.get_file_value("prompt").content;
|
||||
}
|
||||
if (req.has_file("carry_initial_prompt"))
|
||||
{
|
||||
params.carry_initial_prompt = parse_str_to_bool(req.get_file_value("carry_initial_prompt").content);
|
||||
}
|
||||
if (req.has_file("response_format"))
|
||||
{
|
||||
params.response_format = req.get_file_value("response_format").content;
|
||||
|
|
@ -940,6 +940,7 @@ int main(int argc, char ** argv) {
|
|||
wparams.tdrz_enable = params.tinydiarize; // [TDRZ]
|
||||
|
||||
wparams.initial_prompt = params.prompt.c_str();
|
||||
wparams.carry_initial_prompt = params.carry_initial_prompt;
|
||||
|
||||
wparams.greedy.best_of = params.best_of;
|
||||
wparams.beam_search.beam_size = params.beam_size;
|
||||
|
|
|
|||
Loading…
Reference in New Issue