Spaces:
Runtime error
Runtime error
// 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))); | |
} | |
// helper function to replace substrings | |
void replace_all(std::string & s, const std::string & search, const std::string & replace) { | |
for (size_t pos = 0; ; pos += replace.length()) { | |
pos = s.find(search, pos); | |
if (pos == std::string::npos) break; | |
s.erase(pos, search.length()); | |
s.insert(pos, replace); | |
} | |
} | |
// command-line parameters | |
struct whisper_params { | |
int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency()); | |
int32_t n_processors = 1; | |
int32_t offset_t_ms = 0; | |
int32_t offset_n = 0; | |
int32_t duration_ms = 0; | |
int32_t max_context = -1; | |
int32_t max_len = 0; | |
int32_t best_of = 2; | |
int32_t beam_size = -1; | |
float word_thold = 0.01f; | |
float entropy_thold = 2.40f; | |
float logprob_thold = -1.00f; | |
bool speed_up = false; | |
bool translate = false; | |
bool detect_language= false; | |
bool diarize = false; | |
bool split_on_word = false; | |
bool no_fallback = false; | |
bool output_txt = false; | |
bool output_vtt = false; | |
bool output_srt = false; | |
bool output_wts = false; | |
bool output_csv = false; | |
bool output_jsn = false; | |
bool output_lrc = false; | |
bool print_special = false; | |
bool print_colors = false; | |
bool print_progress = false; | |
bool no_timestamps = false; | |
std::string language = "en"; | |
std::string prompt; | |
std::string font_path = "/System/Library/Fonts/Supplemental/Courier New Bold.ttf"; | |
std::string model = "models/ggml-base.en.bin"; | |
std::vector<std::string> fname_inp = {}; | |
std::vector<std::string> fname_out = {}; | |
}; | |
void whisper_print_usage(int argc, char ** argv, const whisper_params & params); | |
bool whisper_params_parse(int argc, char ** argv, whisper_params & params) { | |
for (int i = 1; i < argc; i++) { | |
std::string arg = argv[i]; | |
if (arg == "-"){ | |
params.fname_inp.push_back(arg); | |
continue; | |
} | |
if (arg[0] != '-') { | |
params.fname_inp.push_back(arg); | |
continue; | |
} | |
if (arg == "-h" || arg == "--help") { | |
whisper_print_usage(argc, argv, params); | |
exit(0); | |
} | |
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 == "-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 == "-su" || arg == "--speed-up") { params.speed_up = true; } | |
else if (arg == "-tr" || arg == "--translate") { params.translate = true; } | |
else if (arg == "-di" || arg == "--diarize") { params.diarize = 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 == "-otxt" || arg == "--output-txt") { params.output_txt = true; } | |
else if (arg == "-ovtt" || arg == "--output-vtt") { params.output_vtt = true; } | |
else if (arg == "-osrt" || arg == "--output-srt") { params.output_srt = true; } | |
else if (arg == "-owts" || arg == "--output-words") { params.output_wts = true; } | |
else if (arg == "-olrc" || arg == "--output-lrc") { params.output_lrc = true; } | |
else if (arg == "-fp" || arg == "--font-path") { params.font_path = argv[++i]; } | |
else if (arg == "-ocsv" || arg == "--output-csv") { params.output_csv = true; } | |
else if (arg == "-oj" || arg == "--output-json") { params.output_jsn = true; } | |
else if (arg == "-of" || arg == "--output-file") { params.fname_out.emplace_back(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 == "-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 == "-f" || arg == "--file") { params.fname_inp.emplace_back(argv[++i]); } | |
else { | |
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str()); | |
whisper_print_usage(argc, argv, params); | |
exit(0); | |
} | |
} | |
return true; | |
} | |
void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params) { | |
fprintf(stderr, "\n"); | |
fprintf(stderr, "usage: %s [options] file0.wav file1.wav ...\n", argv[0]); | |
fprintf(stderr, "\n"); | |
fprintf(stderr, "options:\n"); | |
fprintf(stderr, " -h, --help [default] show this help message and exit\n"); | |
fprintf(stderr, " -t N, --threads N [%-7d] number of threads to use during computation\n", params.n_threads); | |
fprintf(stderr, " -p N, --processors N [%-7d] number of processors to use during computation\n", params.n_processors); | |
fprintf(stderr, " -ot N, --offset-t N [%-7d] time offset in milliseconds\n", params.offset_t_ms); | |
fprintf(stderr, " -on N, --offset-n N [%-7d] segment index offset\n", params.offset_n); | |
fprintf(stderr, " -d N, --duration N [%-7d] duration of audio to process in milliseconds\n", params.duration_ms); | |
fprintf(stderr, " -mc N, --max-context N [%-7d] maximum number of text context tokens to store\n", params.max_context); | |
fprintf(stderr, " -ml N, --max-len N [%-7d] maximum segment length in characters\n", params.max_len); | |
fprintf(stderr, " -sow, --split-on-word [%-7s] split on word rather than on token\n", params.split_on_word ? "true" : "false"); | |
fprintf(stderr, " -bo N, --best-of N [%-7d] number of best candidates to keep\n", params.best_of); | |
fprintf(stderr, " -bs N, --beam-size N [%-7d] beam size for beam search\n", params.beam_size); | |
fprintf(stderr, " -wt N, --word-thold N [%-7.2f] word timestamp probability threshold\n", params.word_thold); | |
fprintf(stderr, " -et N, --entropy-thold N [%-7.2f] entropy threshold for decoder fail\n", params.entropy_thold); | |
fprintf(stderr, " -lpt N, --logprob-thold N [%-7.2f] log probability threshold for decoder fail\n", params.logprob_thold); | |
fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false"); | |
fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false"); | |
fprintf(stderr, " -di, --diarize [%-7s] stereo audio diarization\n", params.diarize ? "true" : "false"); | |
fprintf(stderr, " -nf, --no-fallback [%-7s] do not use temperature fallback while decoding\n", params.no_fallback ? "true" : "false"); | |
fprintf(stderr, " -otxt, --output-txt [%-7s] output result in a text file\n", params.output_txt ? "true" : "false"); | |
fprintf(stderr, " -ovtt, --output-vtt [%-7s] output result in a vtt file\n", params.output_vtt ? "true" : "false"); | |
fprintf(stderr, " -osrt, --output-srt [%-7s] output result in a srt file\n", params.output_srt ? "true" : "false"); | |
fprintf(stderr, " -olrc, --output-lrc [%-7s] output result in a lrc file\n", params.output_lrc ? "true" : "false"); | |
fprintf(stderr, " -owts, --output-words [%-7s] output script for generating karaoke video\n", params.output_wts ? "true" : "false"); | |
fprintf(stderr, " -fp, --font-path [%-7s] path to a monospace font for karaoke video\n", params.font_path.c_str()); | |
fprintf(stderr, " -ocsv, --output-csv [%-7s] output result in a CSV file\n", params.output_csv ? "true" : "false"); | |
fprintf(stderr, " -oj, --output-json [%-7s] output result in a JSON file\n", params.output_jsn ? "true" : "false"); | |
fprintf(stderr, " -of FNAME, --output-file FNAME [%-7s] output file path (without file extension)\n", ""); | |
fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false"); | |
fprintf(stderr, " -pc, --print-colors [%-7s] print colors\n", params.print_colors ? "true" : "false"); | |
fprintf(stderr, " -pp, --print-progress [%-7s] print progress\n", params.print_progress ? "true" : "false"); | |
fprintf(stderr, " -nt, --no-timestamps [%-7s] do not print timestamps\n", params.no_timestamps ? "true" : "false"); | |
fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language ('auto' for auto-detect)\n", params.language.c_str()); | |
fprintf(stderr, " -dl, --detect-language [%-7s] exit after automatically detecting language\n", params.detect_language ? "true" : "false"); | |
fprintf(stderr, " --prompt PROMPT [%-7s] initial prompt\n", params.prompt.c_str()); | |
fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str()); | |
fprintf(stderr, " -f FNAME, --file FNAME [%-7s] input WAV file path\n", ""); | |
fprintf(stderr, "\n"); | |
} | |
struct whisper_print_user_data { | |
const whisper_params * params; | |
const std::vector<std::vector<float>> * pcmf32s; | |
}; | |
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) { | |
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 = "(speaker 0)"; | |
} else if (energy1 > 1.1*energy0) { | |
speaker = "(speaker 1)"; | |
} else { | |
speaker = "(speaker ?)"; | |
} | |
//printf("is0 = %lld, is1 = %lld, energy0 = %f, energy1 = %f, %s\n", is0, is1, energy0, energy1, speaker.c_str()); | |
} | |
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); | |
} | |
// with timestamps or speakers: each segment on new line | |
if (!params.no_timestamps || params.diarize) { | |
printf("\n"); | |
} | |
fflush(stdout); | |
} | |
} | |
bool output_txt(struct whisper_context * ctx, const char * fname) { | |
std::ofstream fout(fname); | |
if (!fout.is_open()) { | |
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname); | |
return false; | |
} | |
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
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); | |
fout << text << "\n"; | |
} | |
return true; | |
} | |
bool output_vtt(struct whisper_context * ctx, const char * fname) { | |
std::ofstream fout(fname); | |
if (!fout.is_open()) { | |
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname); | |
return false; | |
} | |
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
fout << "WEBVTT\n\n"; | |
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); | |
const int64_t t0 = whisper_full_get_segment_t0(ctx, i); | |
const int64_t t1 = whisper_full_get_segment_t1(ctx, i); | |
fout << to_timestamp(t0) << " --> " << to_timestamp(t1) << "\n"; | |
fout << text << "\n\n"; | |
} | |
return true; | |
} | |
bool output_srt(struct whisper_context * ctx, const char * fname, const whisper_params & params) { | |
std::ofstream fout(fname); | |
if (!fout.is_open()) { | |
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname); | |
return false; | |
} | |
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
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); | |
const int64_t t0 = whisper_full_get_segment_t0(ctx, i); | |
const int64_t t1 = whisper_full_get_segment_t1(ctx, i); | |
fout << i + 1 + params.offset_n << "\n"; | |
fout << to_timestamp(t0, true) << " --> " << to_timestamp(t1, true) << "\n"; | |
fout << text << "\n\n"; | |
} | |
return true; | |
} | |
char *escape_double_quotes_and_backslashes(const char *str) { | |
if (str == NULL) { | |
return NULL; | |
} | |
size_t escaped_length = strlen(str) + 1; | |
for (size_t i = 0; str[i] != '\0'; i++) { | |
if (str[i] == '"' || str[i] == '\\') { | |
escaped_length++; | |
} | |
} | |
char *escaped = (char *)calloc(escaped_length, 1); // pre-zeroed | |
if (escaped == NULL) { | |
return NULL; | |
} | |
size_t pos = 0; | |
for (size_t i = 0; str[i] != '\0'; i++) { | |
if (str[i] == '"' || str[i] == '\\') { | |
escaped[pos++] = '\\'; | |
} | |
escaped[pos++] = str[i]; | |
} | |
// no need to set zero due to calloc() being used prior | |
return escaped; | |
} | |
bool output_csv(struct whisper_context * ctx, const char * fname) { | |
std::ofstream fout(fname); | |
if (!fout.is_open()) { | |
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname); | |
return false; | |
} | |
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
const int n_segments = whisper_full_n_segments(ctx); | |
fout << "start,end,text\n"; | |
for (int i = 0; i < n_segments; ++i) { | |
const char * text = whisper_full_get_segment_text(ctx, i); | |
const int64_t t0 = whisper_full_get_segment_t0(ctx, i); | |
const int64_t t1 = whisper_full_get_segment_t1(ctx, i); | |
char * text_escaped = escape_double_quotes_and_backslashes(text); | |
//need to multiply times returned from whisper_full_get_segment_t{0,1}() by 10 to get milliseconds. | |
fout << 10 * t0 << "," << 10 * t1 << ",\"" << text_escaped << "\"\n"; | |
} | |
return true; | |
} | |
bool output_json(struct whisper_context * ctx, const char * fname, const whisper_params & params) { | |
std::ofstream fout(fname); | |
int indent = 0; | |
auto doindent = [&]() { | |
for (int i = 0; i < indent; i++) fout << "\t"; | |
}; | |
auto start_arr = [&](const char *name) { | |
doindent(); | |
fout << "\"" << name << "\": [\n"; | |
indent++; | |
}; | |
auto end_arr = [&](bool end) { | |
indent--; | |
doindent(); | |
fout << (end ? "]\n" : "},\n"); | |
}; | |
auto start_obj = [&](const char *name) { | |
doindent(); | |
if (name) { | |
fout << "\"" << name << "\": {\n"; | |
} else { | |
fout << "{\n"; | |
} | |
indent++; | |
}; | |
auto end_obj = [&](bool end) { | |
indent--; | |
doindent(); | |
fout << (end ? "}\n" : "},\n"); | |
}; | |
auto start_value = [&](const char *name) { | |
doindent(); | |
fout << "\"" << name << "\": "; | |
}; | |
auto value_s = [&](const char *name, const char *val, bool end) { | |
start_value(name); | |
char * val_escaped = escape_double_quotes_and_backslashes(val); | |
fout << "\"" << val_escaped << (end ? "\"\n" : "\",\n"); | |
free(val_escaped); | |
}; | |
auto end_value = [&](bool end) { | |
fout << (end ? "\n" : ",\n"); | |
}; | |
auto value_i = [&](const char *name, const int64_t val, bool end) { | |
start_value(name); | |
fout << val; | |
end_value(end); | |
}; | |
auto value_b = [&](const char *name, const bool val, bool end) { | |
start_value(name); | |
fout << (val ? "true" : "false"); | |
end_value(end); | |
}; | |
if (!fout.is_open()) { | |
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname); | |
return false; | |
} | |
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
start_obj(nullptr); | |
value_s("systeminfo", whisper_print_system_info(), false); | |
start_obj("model"); | |
value_s("type", whisper_model_type_readable(ctx), false); | |
value_b("multilingual", whisper_is_multilingual(ctx), false); | |
value_i("vocab", whisper_model_n_vocab(ctx), false); | |
start_obj("audio"); | |
value_i("ctx", whisper_model_n_audio_ctx(ctx), false); | |
value_i("state", whisper_model_n_audio_state(ctx), false); | |
value_i("head", whisper_model_n_audio_head(ctx), false); | |
value_i("layer", whisper_model_n_audio_layer(ctx), true); | |
end_obj(false); | |
start_obj("text"); | |
value_i("ctx", whisper_model_n_text_ctx(ctx), false); | |
value_i("state", whisper_model_n_text_state(ctx), false); | |
value_i("head", whisper_model_n_text_head(ctx), false); | |
value_i("layer", whisper_model_n_text_layer(ctx), true); | |
end_obj(false); | |
value_i("mels", whisper_model_n_mels(ctx), false); | |
value_i("ftype", whisper_model_ftype(ctx), true); | |
end_obj(false); | |
start_obj("params"); | |
value_s("model", params.model.c_str(), false); | |
value_s("language", params.language.c_str(), false); | |
value_b("translate", params.translate, true); | |
end_obj(false); | |
start_obj("result"); | |
value_s("language", whisper_lang_str(whisper_full_lang_id(ctx)), true); | |
end_obj(false); | |
start_arr("transcription"); | |
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); | |
const int64_t t0 = whisper_full_get_segment_t0(ctx, i); | |
const int64_t t1 = whisper_full_get_segment_t1(ctx, i); | |
start_obj(nullptr); | |
start_obj("timestamps"); | |
value_s("from", to_timestamp(t0, true).c_str(), false); | |
value_s("to", to_timestamp(t1, true).c_str(), true); | |
end_obj(false); | |
start_obj("offsets"); | |
value_i("from", t0 * 10, false); | |
value_i("to", t1 * 10, true); | |
end_obj(false); | |
value_s("text", text, true); | |
end_obj(i == (n_segments - 1)); | |
} | |
end_arr(true); | |
end_obj(true); | |
return true; | |
} | |
// karaoke video generation | |
// outputs a bash script that uses ffmpeg to generate a video with the subtitles | |
// TODO: font parameter adjustments | |
bool output_wts(struct whisper_context * ctx, const char * fname, const char * fname_inp, const whisper_params & params, float t_sec) { | |
std::ofstream fout(fname); | |
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
static const char * font = params.font_path.c_str(); | |
std::ifstream fin(font); | |
if (!fin.is_open()) { | |
fprintf(stderr, "%s: font not found at '%s', please specify a monospace font with -fp\n", __func__, font); | |
return false; | |
} | |
fout << "#!/bin/bash" << "\n"; | |
fout << "\n"; | |
fout << "ffmpeg -i " << fname_inp << " -f lavfi -i color=size=1200x120:duration=" << t_sec << ":rate=25:color=black -vf \""; | |
for (int i = 0; i < whisper_full_n_segments(ctx); i++) { | |
const int64_t t0 = whisper_full_get_segment_t0(ctx, i); | |
const int64_t t1 = whisper_full_get_segment_t1(ctx, i); | |
const int n = whisper_full_n_tokens(ctx, i); | |
std::vector<whisper_token_data> tokens(n); | |
for (int j = 0; j < n; ++j) { | |
tokens[j] = whisper_full_get_token_data(ctx, i, j); | |
} | |
if (i > 0) { | |
fout << ","; | |
} | |
// background text | |
fout << "drawtext=fontfile='" << font << "':fontsize=24:fontcolor=gray:x=(w-text_w)/2:y=h/2:text='':enable='between(t," << t0/100.0 << "," << t0/100.0 << ")'"; | |
bool is_first = true; | |
for (int j = 0; j < n; ++j) { | |
const auto & token = tokens[j]; | |
if (tokens[j].id >= whisper_token_eot(ctx)) { | |
continue; | |
} | |
std::string txt_bg; | |
std::string txt_fg; // highlight token | |
std::string txt_ul; // underline | |
txt_bg = "> "; | |
txt_fg = "> "; | |
txt_ul = "\\ \\ "; | |
{ | |
for (int k = 0; k < n; ++k) { | |
const auto & token2 = tokens[k]; | |
if (tokens[k].id >= whisper_token_eot(ctx)) { | |
continue; | |
} | |
const std::string txt = whisper_token_to_str(ctx, token2.id); | |
txt_bg += txt; | |
if (k == j) { | |
for (int l = 0; l < (int) txt.size(); ++l) { | |
txt_fg += txt[l]; | |
txt_ul += "_"; | |
} | |
txt_fg += "|"; | |
} else { | |
for (int l = 0; l < (int) txt.size(); ++l) { | |
txt_fg += "\\ "; | |
txt_ul += "\\ "; | |
} | |
} | |
} | |
::replace_all(txt_bg, "'", "\u2019"); | |
::replace_all(txt_bg, "\"", "\\\""); | |
::replace_all(txt_fg, "'", "\u2019"); | |
::replace_all(txt_fg, "\"", "\\\""); | |
} | |
if (is_first) { | |
// background text | |
fout << ",drawtext=fontfile='" << font << "':fontsize=24:fontcolor=gray:x=(w-text_w)/2:y=h/2:text='" << txt_bg << "':enable='between(t," << t0/100.0 << "," << t1/100.0 << ")'"; | |
is_first = false; | |
} | |
// foreground text | |
fout << ",drawtext=fontfile='" << font << "':fontsize=24:fontcolor=lightgreen:x=(w-text_w)/2+8:y=h/2:text='" << txt_fg << "':enable='between(t," << token.t0/100.0 << "," << token.t1/100.0 << ")'"; | |
// underline | |
fout << ",drawtext=fontfile='" << font << "':fontsize=24:fontcolor=lightgreen:x=(w-text_w)/2+8:y=h/2+16:text='" << txt_ul << "':enable='between(t," << token.t0/100.0 << "," << token.t1/100.0 << ")'"; | |
} | |
} | |
fout << "\" -c:v libx264 -pix_fmt yuv420p -y " << fname_inp << ".mp4" << "\n"; | |
fout << "\n\n"; | |
fout << "echo \"Your video has been saved to " << fname_inp << ".mp4\"" << "\n"; | |
fout << "\n"; | |
fout << "echo \" ffplay " << fname_inp << ".mp4\"\n"; | |
fout << "\n"; | |
fout.close(); | |
fprintf(stderr, "%s: run 'source %s' to generate karaoke video\n", __func__, fname); | |
return true; | |
} | |
bool output_lrc(struct whisper_context * ctx, const char * fname) { | |
std::ofstream fout(fname); | |
if (!fout.is_open()) { | |
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname); | |
return false; | |
} | |
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
fout << "[by:whisper.cpp]\n"; | |
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); | |
const int64_t t = whisper_full_get_segment_t0(ctx, i); | |
int64_t msec = t * 10; | |
int64_t min = msec / (1000 * 60); | |
msec = msec - min * (1000 * 60); | |
int64_t sec = msec / 1000; | |
msec = msec - sec * 1000; | |
char buf[16]; | |
snprintf(buf, sizeof(buf), "%02d:%02d.%02d", (int) min, (int) sec, (int) ( msec / 10)); | |
std::string timestamp_lrc = std::string(buf); | |
fout << '[' << timestamp_lrc << ']' << text << "\n"; | |
} | |
return true; | |
} | |
int main(int argc, char ** argv) { | |
whisper_params params; | |
if (whisper_params_parse(argc, argv, params) == false) { | |
return 1; | |
} | |
if (params.fname_inp.empty()) { | |
fprintf(stderr, "error: no input files specified\n"); | |
whisper_print_usage(argc, argv, params); | |
return 2; | |
} | |
if (params.language != "auto" && whisper_lang_id(params.language.c_str()) == -1) { | |
fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str()); | |
whisper_print_usage(argc, argv, params); | |
exit(0); | |
} | |
// whisper init | |
struct whisper_context * ctx = whisper_init_from_file(params.model.c_str()); | |
if (ctx == nullptr) { | |
fprintf(stderr, "error: failed to initialize whisper context\n"); | |
return 3; | |
} | |
for (int f = 0; f < (int) params.fname_inp.size(); ++f) { | |
const auto fname_inp = params.fname_inp[f]; | |
const auto fname_out = f < (int) params.fname_out.size() && !params.fname_out[f].empty() ? params.fname_out[f] : params.fname_inp[f]; | |
std::vector<float> pcmf32; // mono-channel F32 PCM | |
std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM | |
if (!::read_wav(fname_inp, pcmf32, pcmf32s, params.diarize)) { | |
fprintf(stderr, "error: failed to read WAV file '%s'\n", fname_inp.c_str()); | |
continue; | |
} | |
// 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, timestamps = %d ...\n", | |
__func__, fname_inp.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.no_timestamps ? 0 : 1); | |
fprintf(stderr, "\n"); | |
} | |
// run the inference | |
{ | |
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.token_timestamps = params.output_wts || params.max_len > 0; | |
wparams.thold_pt = params.word_thold; | |
wparams.max_len = params.output_wts && params.max_len == 0 ? 60 : params.max_len; | |
wparams.split_on_word = params.split_on_word; | |
wparams.speed_up = params.speed_up; | |
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.no_fallback ? 0.0f : wparams.temperature_inc; | |
wparams.entropy_thold = params.entropy_thold; | |
wparams.logprob_thold = params.logprob_thold; | |
whisper_print_user_data user_data = { ¶ms, &pcmf32s }; | |
// 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; | |
} | |
// example for abort mechanism | |
// in this example, 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; | |
} | |
if (whisper_full_parallel(ctx, wparams, pcmf32.data(), pcmf32.size(), params.n_processors) != 0) { | |
fprintf(stderr, "%s: failed to process audio\n", argv[0]); | |
return 10; | |
} | |
} | |
// output stuff | |
{ | |
printf("\n"); | |
// output to text file | |
if (params.output_txt) { | |
const auto fname_txt = fname_out + ".txt"; | |
output_txt(ctx, fname_txt.c_str()); | |
} | |
// output to VTT file | |
if (params.output_vtt) { | |
const auto fname_vtt = fname_out + ".vtt"; | |
output_vtt(ctx, fname_vtt.c_str()); | |
} | |
// output to SRT file | |
if (params.output_srt) { | |
const auto fname_srt = fname_out + ".srt"; | |
output_srt(ctx, fname_srt.c_str(), params); | |
} | |
// output to WTS file | |
if (params.output_wts) { | |
const auto fname_wts = fname_out + ".wts"; | |
output_wts(ctx, fname_wts.c_str(), fname_inp.c_str(), params, float(pcmf32.size() + 1000)/WHISPER_SAMPLE_RATE); | |
} | |
// output to CSV file | |
if (params.output_csv) { | |
const auto fname_csv = fname_out + ".csv"; | |
output_csv(ctx, fname_csv.c_str()); | |
} | |
// output to JSON file | |
if (params.output_jsn) { | |
const auto fname_jsn = fname_out + ".json"; | |
output_json(ctx, fname_jsn.c_str(), params); | |
} | |
// output to LRC file | |
if (params.output_lrc) { | |
const auto fname_lrc = fname_out + ".lrc"; | |
output_lrc(ctx, fname_lrc.c_str()); | |
} | |
} | |
} | |
whisper_print_timings(ctx); | |
whisper_free(ctx); | |
return 0; | |
} | |