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README.md
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@@ -26,21 +26,23 @@ To use it on a server for browser-based ASR:
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* Install [Sherpa](https://github.com/k2-fsa/sherpa)
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* Clone this model locally:
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-
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git lfs install
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git clone https://huggingface.co/TalTechNLP/icefall_pruned_transducer_stateless7_streaming_et
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* Set SHERPA_ROOT_DIR to the sherpa root directory
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* Start serving on port 6006:
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-
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sherpa-online-websocket-server --use-gpu=false --decode-chunk-size=32 \
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--encoder-model=icefall_pruned_transducer_stateless7_streaming_et/exp/1d/encoder_jit_trace.pt \
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--decoder-model=icefall_pruned_transducer_stateless7_streaming_et/exp/1d/decoder_jit_trace.pt \
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--joiner-model=icefall_pruned_transducer_stateless7_streaming_et/exp/1d/joiner_jit_trace.pt \
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--tokens=icefall_pruned_transducer_stateless7_streaming_et/data/lang_bpe_1000/tokens.txt \
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--doc-root=${SHERPA_ROOT_DIR}/sherpa/bin/web --decoding-method=modified_beam_search
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* Open in browser: http://localhost:6006 (also works via ssh tunnel) and go to "Streaming-Record" tab
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* Install [Sherpa](https://github.com/k2-fsa/sherpa)
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* Clone this model locally:
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```
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git lfs install
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git clone https://huggingface.co/TalTechNLP/icefall_pruned_transducer_stateless7_streaming_et
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```
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* Set SHERPA_ROOT_DIR to the sherpa root directory
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* Start serving on port 6006:
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```
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sherpa-online-websocket-server --use-gpu=false --decode-chunk-size=32 \
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--encoder-model=icefall_pruned_transducer_stateless7_streaming_et/exp/1d/encoder_jit_trace.pt \
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--decoder-model=icefall_pruned_transducer_stateless7_streaming_et/exp/1d/decoder_jit_trace.pt \
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--joiner-model=icefall_pruned_transducer_stateless7_streaming_et/exp/1d/joiner_jit_trace.pt \
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--tokens=icefall_pruned_transducer_stateless7_streaming_et/data/lang_bpe_1000/tokens.txt \
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--doc-root=${SHERPA_ROOT_DIR}/sherpa/bin/web --decoding-method=modified_beam_search
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```
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* Open in browser: http://localhost:6006 (also works via ssh tunnel) and go to "Streaming-Record" tab
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