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https://github.com/ggerganov/whisper.cpp.git
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whisper : improve handling of prompts (#1981)
* whisper : improve handling of prompts * whisper : add whisper_token_count helper
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@ -207,7 +207,7 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
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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, " --prompt PROMPT [%-7s] initial prompt (max n_text_ctx/2 tokens)\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, " -f FNAME, --file FNAME [%-7s] input WAV file path\n", "");
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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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13
whisper.cpp
13
whisper.cpp
@ -3721,7 +3721,7 @@ int whisper_tokenize(struct whisper_context * ctx, const char * text, whisper_to
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if (n_max_tokens < (int) res.size()) {
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WHISPER_LOG_ERROR("%s: too many resulting tokens: %d (max %d)\n", __func__, (int) res.size(), n_max_tokens);
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return -1;
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return -(int) res.size();
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}
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for (int i = 0; i < (int) res.size(); i++) {
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@ -3731,6 +3731,10 @@ int whisper_tokenize(struct whisper_context * ctx, const char * text, whisper_to
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return res.size();
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}
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int whisper_token_count(struct whisper_context * ctx, const char * text) {
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return -whisper_tokenize(ctx, text, NULL, 0);
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}
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int whisper_lang_max_id() {
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auto max_id = 0;
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for (const auto & kv : g_lang) {
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@ -5313,7 +5317,12 @@ int whisper_full_with_state(
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// initial prompt
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if (!params.prompt_tokens && params.initial_prompt) {
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prompt_tokens.resize(1024);
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prompt_tokens.resize(whisper_tokenize(ctx, params.initial_prompt, prompt_tokens.data(), prompt_tokens.size()));
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int n_needed = whisper_tokenize(ctx, params.initial_prompt, prompt_tokens.data(), prompt_tokens.size());
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if (n_needed < 0) {
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prompt_tokens.resize(-n_needed);
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n_needed = whisper_tokenize(ctx, params.initial_prompt, prompt_tokens.data(), prompt_tokens.size());
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}
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prompt_tokens.resize(n_needed);
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params.prompt_tokens = prompt_tokens.data();
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params.prompt_n_tokens = prompt_tokens.size();
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}
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@ -337,7 +337,7 @@ extern "C" {
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// Convert the provided text into tokens.
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// The tokens pointer must be large enough to hold the resulting tokens.
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// Returns the number of tokens on success, no more than n_max_tokens
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// Returns -1 on failure
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// Returns a negative number on failure - the number of tokens that would have been returned
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// TODO: not sure if correct
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WHISPER_API int whisper_tokenize(
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struct whisper_context * ctx,
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@ -345,6 +345,10 @@ extern "C" {
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whisper_token * tokens,
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int n_max_tokens);
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// Return the number of tokens in the provided text
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// Equivalent to: -whisper_tokenize(ctx, text, NULL, 0)
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int whisper_token_count(struct whisper_context * ctx, const char * text);
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// Largest language id (i.e. number of available languages - 1)
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WHISPER_API int whisper_lang_max_id();
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@ -503,6 +507,8 @@ extern "C" {
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// tokens to provide to the whisper decoder as initial prompt
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// these are prepended to any existing text context from a previous call
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// use whisper_tokenize() to convert text to tokens
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// maximum of whisper_n_text_ctx()/2 tokens are used (typically 224)
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const char * initial_prompt;
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const whisper_token * prompt_tokens;
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int prompt_n_tokens;
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