65 lines
2.9 KiB
Markdown
65 lines
2.9 KiB
Markdown
# whisper.cpp http server
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Simple http server. WAV Files are passed to the inference model via http requests.
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https://github.com/ggerganov/whisper.cpp/assets/1991296/e983ee53-8741-4eb5-9048-afe5e4594b8f
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## Usage
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```
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./server -h
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usage: ./bin/server [options]
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options:
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-h, --help [default] show this help message and exit
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-t N, --threads N [4 ] number of threads to use during computation
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-p N, --processors N [1 ] number of processors to use during computation
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-ot N, --offset-t N [0 ] time offset in milliseconds
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-on N, --offset-n N [0 ] segment index offset
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-d N, --duration N [0 ] duration of audio to process in milliseconds
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-mc N, --max-context N [-1 ] maximum number of text context tokens to store
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-ml N, --max-len N [0 ] maximum segment length in characters
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-sow, --split-on-word [false ] split on word rather than on token
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-bo N, --best-of N [2 ] number of best candidates to keep
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-bs N, --beam-size N [-1 ] beam size for beam search
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-wt N, --word-thold N [0.01 ] word timestamp probability threshold
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-et N, --entropy-thold N [2.40 ] entropy threshold for decoder fail
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-lpt N, --logprob-thold N [-1.00 ] log probability threshold for decoder fail
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-debug, --debug-mode [false ] enable debug mode (eg. dump log_mel)
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-tr, --translate [false ] translate from source language to english
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-di, --diarize [false ] stereo audio diarization
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-tdrz, --tinydiarize [false ] enable tinydiarize (requires a tdrz model)
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-nf, --no-fallback [false ] do not use temperature fallback while decoding
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-ps, --print-special [false ] print special tokens
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-pc, --print-colors [false ] print colors
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-pr, --print-realtime [false ] print output in realtime
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-pp, --print-progress [false ] print progress
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-nt, --no-timestamps [false ] do not print timestamps
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-l LANG, --language LANG [en ] spoken language ('auto' for auto-detect)
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-dl, --detect-language [false ] exit after automatically detecting language
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--prompt PROMPT [ ] initial prompt
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-m FNAME, --model FNAME [models/ggml-base.en.bin] model path
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-oved D, --ov-e-device DNAME [CPU ] the OpenVINO device used for encode inference
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--host HOST, [127.0.0.1] Hostname/ip-adress for the server
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--port PORT, [8080 ] Port number for the server
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```
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## request examples
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**/inference**
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```
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curl 127.0.0.1:8080/inference \
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-H "Content-Type: multipart/form-data" \
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-F file="@<file-path>" \
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-F temperature="0.2" \
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-F response-format="json"
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```
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**/load**
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```
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curl 127.0.0.1:8080/load \
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-H "Content-Type: multipart/form-data" \
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-F model="<path-to-model-file>"
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```
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