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server : add a REST Whisper server example with OAI-like API (ggergan…
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…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 <ggerganov@gmail.com>

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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2 people authored and iThalay committed Sep 23, 2024
1 parent 6a9a4d0 commit e8e1f1a
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Showing 9 changed files with 34,631 additions and 4 deletions.
1 change: 1 addition & 0 deletions .gitignore
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Expand Up @@ -31,6 +31,7 @@ build-sanitize-thread/
/talk-llama
/bench
/quantize
/server
/lsp

arm_neon.h
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7 changes: 5 additions & 2 deletions Makefile
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@@ -1,4 +1,4 @@
default: main bench quantize
default: main bench quantize server

ifndef UNAME_S
UNAME_S := $(shell uname -s)
Expand Down Expand Up @@ -338,7 +338,7 @@ libwhisper.so: $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) -shared -o libwhisper.so $(WHISPER_OBJ) $(LDFLAGS)

clean:
rm -f *.o main stream command talk talk-llama bench quantize lsp libwhisper.a libwhisper.so
rm -f *.o main stream command talk talk-llama bench quantize server lsp libwhisper.a libwhisper.so

#
# Examples
Expand All @@ -359,6 +359,9 @@ bench: examples/bench/bench.cpp $(WHISPER_OBJ)
quantize: examples/quantize/quantize.cpp $(WHISPER_OBJ) $(SRC_COMMON)
$(CXX) $(CXXFLAGS) examples/quantize/quantize.cpp $(SRC_COMMON) $(WHISPER_OBJ) -o quantize $(LDFLAGS)

server: examples/server/server.cpp $(SRC_COMMON) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/server/server.cpp $(SRC_COMMON) $(WHISPER_OBJ) -o server $(LDFLAGS)

stream: examples/stream/stream.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/stream/stream.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o stream $(CC_SDL) $(LDFLAGS)

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1 change: 1 addition & 0 deletions examples/CMakeLists.txt
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Expand Up @@ -65,6 +65,7 @@ elseif(CMAKE_JS_VERSION)
else()
add_subdirectory(main)
add_subdirectory(stream)
add_subdirectory(server)
add_subdirectory(command)
add_subdirectory(bench)
add_subdirectory(quantize)
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4 changes: 2 additions & 2 deletions examples/main/main.cpp
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Expand Up @@ -165,8 +165,8 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
else if (arg == "-f" || arg == "--file") { params.fname_inp.emplace_back(argv[++i]); }
else if (arg == "-oved" || arg == "--ov-e-device") { params.openvino_encode_device = argv[++i]; }
else if (arg == "-ls" || arg == "--log-score") { params.log_score = true; }
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
else if (arg == "-ls" || arg == "--log-score") { params.log_score = true; }
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
else {
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
whisper_print_usage(argc, argv, params);
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6 changes: 6 additions & 0 deletions examples/server/CMakeLists.txt
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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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# 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>" \
-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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