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Super Simple Whisper Server #1380

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1 change: 1 addition & 0 deletions examples/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -64,6 +64,7 @@ elseif(CMAKE_JS_VERSION)
else()
add_subdirectory(main)
add_subdirectory(stream)
add_subdirectory(server)
add_subdirectory(command)
add_subdirectory(bench)
add_subdirectory(quantize)
Expand Down
6 changes: 6 additions & 0 deletions examples/server/CMakeLists.txt
Original file line number Diff line number Diff line change
@@ -0,0 +1,6 @@
set(TARGET server)
add_executable(${TARGET} server.cpp httplib.h json.hpp)

include(DefaultTargetOptions)

target_link_libraries(${TARGET} PRIVATE common whisper ${CMAKE_THREAD_LIBS_INIT})
59 changes: 59 additions & 0 deletions examples/server/README.md
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@@ -0,0 +1,59 @@
# whisper.cpp http server

Simple http server. WAV Files are passed to the inference model via http requests.

```
./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
```

## request examples

**/inference**
```
curl 127.0.0.1:8080/inference \
-H "Content-Type: multipart/form-data" \
-F file="<file-path>" \
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-F temperature="0.2" \
-F response-format="json"
```

**/load**
```
curl 127.0.0.1:8080/load \
-H "Content-Type: multipart/form-data" \
-F model="<path-to-model-file>"
```
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