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examples : expose language detection probabilities to server example (#3044)
* feat: expose language detection probabilities to server.cpp * feat: enhance language detection output in server.cpp * Remove empty spaces.
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@ -926,14 +926,26 @@ int main(int argc, char ** argv) {
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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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std::string results = output_str(ctx, params, pcmf32s);
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// Get language probabilities
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std::vector<float> lang_probs(whisper_lang_max_id() + 1, 0.0f);
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const auto detected_lang_id = whisper_lang_auto_detect(ctx, 0, params.n_threads, lang_probs.data());
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json jres = json{
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{"task", params.translate ? "translate" : "transcribe"},
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{"language", whisper_lang_str_full(whisper_full_lang_id(ctx))},
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{"duration", float(pcmf32.size())/WHISPER_SAMPLE_RATE},
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{"text", results},
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{"segments", json::array()}
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{"segments", json::array()},
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{"detected_language", whisper_lang_str_full(detected_lang_id)},
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{"detected_language_probability", lang_probs[detected_lang_id]},
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{"language_probabilities", json::object()}
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};
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// Add all language probabilities
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for (int i = 0; i <= whisper_lang_max_id(); ++i) {
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if (lang_probs[i] > 0.001f) { // Only include non-negligible probabilities
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jres["language_probabilities"][whisper_lang_str(i)] = lang_probs[i];
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}
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}
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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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