forked from extern/whisper.cpp
talk.wasm : add audio pre-processing + bump memory
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@ -31,8 +31,8 @@ set_target_properties(${TARGET} PROPERTIES LINK_FLAGS " \
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--bind \
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--bind \
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-s USE_PTHREADS=1 \
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-s USE_PTHREADS=1 \
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-s PTHREAD_POOL_SIZE=8 \
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-s PTHREAD_POOL_SIZE=8 \
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-s INITIAL_MEMORY=1400MB \
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-s INITIAL_MEMORY=1600MB \
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-s TOTAL_MEMORY=1400MB \
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-s TOTAL_MEMORY=1600MB \
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-s FORCE_FILESYSTEM=1 \
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-s FORCE_FILESYSTEM=1 \
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-s EXPORTED_RUNTIME_METHODS=\"['print', 'printErr', 'ccall', 'cwrap']\" \
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-s EXPORTED_RUNTIME_METHODS=\"['print', 'printErr', 'ccall', 'cwrap']\" \
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${EXTRA_FLAGS} \
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${EXTRA_FLAGS} \
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@ -34,7 +34,7 @@ In order to run this demo efficiently, you need to have the following:
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- Latest Chrome or Firefox browser (Safari is not supported)
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- Latest Chrome or Firefox browser (Safari is not supported)
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- Run this on a desktop or laptop with modern CPU (a mobile phone will likely not be good enough)
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- Run this on a desktop or laptop with modern CPU (a mobile phone will likely not be good enough)
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- Speak phrases that are no longer than 10 seconds - this is the audio context of the AI
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- Speak phrases that are no longer than 10 seconds - this is the audio context of the AI
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- The web-page uses about 1.4GB of RAM
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- The web-page uses about 1.6GB of RAM
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Notice that this demo is using the smallest GPT-2 model, so the generated text responses are not always very good.
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Notice that this demo is using the smallest GPT-2 model, so the generated text responses are not always very good.
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Also, the prompting strategy can likely be improved to achieve better results.
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Also, the prompting strategy can likely be improved to achieve better results.
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@ -513,7 +513,7 @@ bool gpt2_eval(
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const int n_head = hparams.n_head;
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const int n_head = hparams.n_head;
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const int n_vocab = hparams.n_vocab;
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const int n_vocab = hparams.n_vocab;
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static size_t buf_size = 512u*1024*1024;
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static size_t buf_size = 640u*1024*1024;
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static void * buf = malloc(buf_size);
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static void * buf = malloc(buf_size);
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if (mem_per_token > 0 && mem_per_token*N > buf_size) {
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if (mem_per_token > 0 && mem_per_token*N > buf_size) {
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@ -504,7 +504,13 @@
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function startRecording() {
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function startRecording() {
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if (!context) {
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if (!context) {
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context = new AudioContext({sampleRate: 16000, noiseSuppression: true});
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context = new AudioContext({
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sampleRate: 16000,
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channelCount: 1,
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echoCancellation: true,
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autoGainControl: true,
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noiseSuppression: true,
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});
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}
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}
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Module.set_status("");
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Module.set_status("");
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