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server : add a REST Whisper server example with OAI-like API (ggergan…
…ov#1380) * Add first draft of server * Added json support and base funcs for server.cpp * Add more user input via api-request also some clean up * Add reqest params and load post function Also some general clean up * Remove unused function * Add readme * Add exception handlers * Update examples/server/server.cpp * make : add server target * Add magic curl syntax Co-authored-by: Georgi Gerganov <[email protected]> --------- Co-authored-by: Georgi Gerganov <[email protected]>
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/talk-llama | ||
/bench | ||
/quantize | ||
/server | ||
/lsp | ||
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arm_neon.h | ||
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set(TARGET server) | ||
add_executable(${TARGET} server.cpp httplib.h json.hpp) | ||
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include(DefaultTargetOptions) | ||
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target_link_libraries(${TARGET} PRIVATE common whisper ${CMAKE_THREAD_LIBS_INIT}) |
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# 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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``` | ||
./server -h | ||
usage: ./bin/server [options] | ||
options: | ||
-h, --help [default] show this help message and exit | ||
-t N, --threads N [4 ] number of threads to use during computation | ||
-p N, --processors N [1 ] number of processors to use during computation | ||
-ot N, --offset-t N [0 ] time offset in milliseconds | ||
-on N, --offset-n N [0 ] segment index offset | ||
-d N, --duration N [0 ] duration of audio to process in milliseconds | ||
-mc N, --max-context N [-1 ] maximum number of text context tokens to store | ||
-ml N, --max-len N [0 ] maximum segment length in characters | ||
-sow, --split-on-word [false ] split on word rather than on token | ||
-bo N, --best-of N [2 ] number of best candidates to keep | ||
-bs N, --beam-size N [-1 ] beam size for beam search | ||
-wt N, --word-thold N [0.01 ] word timestamp probability threshold | ||
-et N, --entropy-thold N [2.40 ] entropy threshold for decoder fail | ||
-lpt N, --logprob-thold N [-1.00 ] log probability threshold for decoder fail | ||
-debug, --debug-mode [false ] enable debug mode (eg. dump log_mel) | ||
-tr, --translate [false ] translate from source language to english | ||
-di, --diarize [false ] stereo audio diarization | ||
-tdrz, --tinydiarize [false ] enable tinydiarize (requires a tdrz model) | ||
-nf, --no-fallback [false ] do not use temperature fallback while decoding | ||
-ps, --print-special [false ] print special tokens | ||
-pc, --print-colors [false ] print colors | ||
-pp, --print-progress [false ] print progress | ||
-nt, --no-timestamps [false ] do not print timestamps | ||
-l LANG, --language LANG [en ] spoken language ('auto' for auto-detect) | ||
-dl, --detect-language [false ] exit after automatically detecting language | ||
--prompt PROMPT [ ] initial prompt | ||
-m FNAME, --model FNAME [models/ggml-base.en.bin] model path | ||
-oved D, --ov-e-device DNAME [CPU ] the OpenVINO device used for encode inference | ||
--host HOST, [127.0.0.1] Hostname/ip-adress for the server | ||
--port PORT, [8080 ] Port number for the server | ||
``` | ||
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## request examples | ||
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**/inference** | ||
``` | ||
curl 127.0.0.1:8080/inference \ | ||
-H "Content-Type: multipart/form-data" \ | ||
-F file="@<file-path>" \ | ||
-F temperature="0.2" \ | ||
-F response-format="json" | ||
``` | ||
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**/load** | ||
``` | ||
curl 127.0.0.1:8080/load \ | ||
-H "Content-Type: multipart/form-data" \ | ||
-F model="<path-to-model-file>" | ||
``` |
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