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16 changes: 14 additions & 2 deletions examples/server/server.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -918,14 +918,26 @@ int main(int argc, char ** argv) {
res.set_content(ss.str(), "text/vtt");
} else if (params.response_format == vjson_format) {
/* try to match openai/whisper's Python format */
std::string results = output_str(ctx, params, pcmf32s);
std::string results = output_str(ctx, params, pcmf32s);
// Get language probabilities
std::vector<float> lang_probs(whisper_lang_max_id() + 1, 0.0f);
const auto detected_lang_id = whisper_lang_auto_detect(ctx, 0, params.n_threads, lang_probs.data());
json jres = json{
{"task", params.translate ? "translate" : "transcribe"},
{"language", whisper_lang_str_full(whisper_full_lang_id(ctx))},
{"duration", float(pcmf32.size())/WHISPER_SAMPLE_RATE},
{"text", results},
{"segments", json::array()}
{"segments", json::array()},
{"detected_language", whisper_lang_str_full(detected_lang_id)},
{"detected_language_probability", lang_probs[detected_lang_id]},
{"language_probabilities", json::object()}
};
// Add all language probabilities
for (int i = 0; i <= whisper_lang_max_id(); ++i) {
if (lang_probs[i] > 0.001f) { // Only include non-negligible probabilities
jres["language_probabilities"][whisper_lang_str(i)] = lang_probs[i];
}
}
const int n_segments = whisper_full_n_segments(ctx);
for (int i = 0; i < n_segments; ++i)
{
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