Replies: 26 comments 62 replies
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Can't seem to get the app to transcribe just yet - something I'm doing wrong here? Thanks |
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ok, figured it out I think, I had to create a build folder inside the go package and drop in libwhisper.a there |
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Hi Chris, happy new year. So there is a "Makefile" in the
If you are placing your code in the "examples" folder you can build it with:
I hope that helps! |
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I wanted to use this binding in my project. Also had problem to build it with missing header and I realized the CGO directives in the source files require the header to be in Now I was able to compile it program with just |
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Yeah, I've put in a PR #379 now which removes the hard-coded paths from the .go file in preference for setting the C_INCLUDE_PATH and LIBRARY_PATH variables which invoking the go toolchain, and included some documentation to describe this. I hope that helps! |
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@chrisbward I added a very basic streaming example here: https://github.com/djthorpe/go-whisper/ It creates all sorts of crashes (I need to look into thread safety, I assume it's bacause I am launching goroutines where I shouldn't). But may help you a bit more. |
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Hello Everybody, First of all thank you very much for all the work that was poured into this. I created my build folder with all executables. github.com/ggerganov/whisper.cpp/bindings/go
Any advice/piece of help is very much appreciated. |
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As you can notice, in the dependencies folder on the left I stored bot .h and .a files. |
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I must mention that, even if I try to run the package tests from the original repository, with the original path, it fails from the same reason.. |
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Thanks @mbaxamb3333 can you run the following and see what happens, in a fresh empty directory: I'd be interested to see if that compiles. If it doesn't work, can you send me the output? |
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On OSX, following those steps, I get |
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I encountered the same error, and it seems that the Go bindings are no longer being maintained. |
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When running the command from the makefile everything works fine. github.com/ggerganov/whisper.cpp/bindings/go/var/folders/y0/dbsx2zd55lz31wt__nmdgm840000gn/T/go-build1048629891/b084/params.cover.go:11:10: fatal error: 'whisper.h' file not found |
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Great. In that case, I would take a look at the Makefile in the bindings/go directory and see what it is doing differently to make it work. The most important part of the makefile is as follows: It's really just important that INCLUDE_PATH contains the file whisper.h and the LIBRARY_PATH contains the file libwhisper.a - these should be on the same line as the "go build" command. |
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Golang bindings are 45 times slower than the C++ binary when transcoding
C++ and Golang examples are compiled following the readme. I haven't profiled the Golang bindings yet. Raw resultsC++ binarytime ./main -m ./models/ggml-tiny.en.bin -f ./samples/jfk.wav
whisper_init_from_file: loading model from './models/ggml-tiny.en.bin'
whisper_model_load: loading model
whisper_model_load: n_vocab = 51864
whisper_model_load: n_audio_ctx = 1500
whisper_model_load: n_audio_state = 384
whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: f16 = 1
whisper_model_load: type = 1
whisper_model_load: mem required = 387.00 MB (+ 3.00 MB per decoder)
whisper_model_load: kv self size = 2.62 MB
whisper_model_load: kv cross size = 8.79 MB
whisper_model_load: adding 1607 extra tokens
whisper_model_load: model ctx = 73.58 MB
whisper_model_load: model size = 73.54 MB
system_info: n_threads = 4 / 16 | AVX = 1 | AVX2 = 1 | AVX512 = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | VSX = 0 |
main: processing './samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 processors, lang = en, task = transcribe, timestamps = 1 ...
[00:00:00.000 --> 00:00:07.740] And so my fellow Americans ask not what your country can do for you
[00:00:07.740 --> 00:00:10.740] ask what you can do for your country
whisper_print_timings: load time = 186.77 ms
whisper_print_timings: mel time = 83.82 ms
whisper_print_timings: sample time = 16.98 ms
whisper_print_timings: encode time = 791.23 ms / 197.81 ms per layer
whisper_print_timings: decode time = 289.46 ms / 72.36 ms per layer
whisper_print_timings: total time = 1374.19 ms
real 0m1.428s
user 0m4.208s
sys 0m0.280sGolang bindingstime ./build/go-whisper -model ./models/ggml-tiny.en.bin samples/jfk.wav
whisper_init_from_file: loading model from './models/ggml-tiny.en.bin'
whisper_model_load: loading model
whisper_model_load: n_vocab = 51864
whisper_model_load: n_audio_ctx = 1500
whisper_model_load: n_audio_state = 384
whisper_model_load: n_audio_head = 6
whisper_model_load: n_audio_layer = 4
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 384
whisper_model_load: n_text_head = 6
whisper_model_load: n_text_layer = 4
whisper_model_load: n_mels = 80
whisper_model_load: f16 = 1
whisper_model_load: type = 1
whisper_model_load: mem required = 387.00 MB (+ 3.00 MB per decoder)
whisper_model_load: kv self size = 2.62 MB
whisper_model_load: kv cross size = 8.79 MB
whisper_model_load: adding 1607 extra tokens
whisper_model_load: model ctx = 73.58 MB
whisper_model_load: model size = 73.54 MB
Loading "./samples/jfk.wav"
...processing "./samples/jfk.wav"
[ 0s-> 7.74s] And so my fellow Americans ask not what your country can do for you
[ 7.74s->10.74s] ask what you can do for your country
real 1m3.919s
user 4m7.851s
sys 0m6.771sRelated issue: #421 |
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Could this hard coded
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I made three samples and tested their performance on MLK's full "I have a dream" speech:
So there's a significant cost to using either of the official bindings. I'm not sure where the cost comes in on the low-level bindings, because my cgo looks extremely similar to what it's doing, but it's repeatably much faster. All programs are available here (I've linked directly to the version I used for these tests) The default example program gives 27s (!) when run with |
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@jaybinks on a 53 minute gil strang lecture, with the whisper-cpp main (4-thread default): 14:15 system_info from
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For kicks, I edited the bindings to remove the progress callbacks on the theory that that caused frequent calls across the go -> C boundary, and that dropped the time for the low-level bindings to 14:19 from 62:28 - pretty conclusive evidence that they are a major issue. Here's the diff: --- whisper.go 2023-06-26 08:49:04
+++ whisper.2.go 2023-06-29 15:43:00
@@ -326,10 +326,10 @@
// It seems this approach can offer some speedup in some cases.
// However, the transcription accuracy can be worse at the beginning and end of each chunk.
func (ctx *Context) Whisper_full_parallel(params Params, samples []float32, processors int, encoderBeginCallback func() bool, newSegmentCallback func(int)) error {
- registerEncoderBeginCallback(ctx, encoderBeginCallback)
- registerNewSegmentCallback(ctx, newSegmentCallback)
- defer registerEncoderBeginCallback(ctx, nil)
- defer registerNewSegmentCallback(ctx, nil)
+ // registerEncoderBeginCallback(ctx, encoderBeginCallback)
+ // registerNewSegmentCallback(ctx, newSegmentCallback)
+ // defer registerEncoderBeginCallback(ctx, nil)
+ // defer registerNewSegmentCallback(ctx, nil)
if C.whisper_full_parallel((*C.struct_whisper_context)(ctx), (C.struct_whisper_full_params)(params), (*C.float)(&samples[0]), C.int(len(samples)), C.int(processors)) == 0 {
return nil |
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Can we reuse the same model instance to process multiple wav files which are in different languages?I have 20 wav files which are in different languages and totally unrelated. I create one model using a multi-lang model, and then create a new Context using So my question is - are we supposedly to reuse one model and just create a new context for each new wav file? My understanding is that the model inference is somewhat stateful - would the first wav file / context influence the second wav file /context in some way? Btw thanks for building such a great project! |
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The C api does not have the concept of model. It only has |
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I haven't looked into the Go API in details, but regarding the C API, you should be able to achieve what you need by simply setting Line 248 in 86ef64a This will tell whisper to ignore any past transcriptions (i.e. clear the state). |
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I'm right that we can't do something like this for i := 0; i < 10; i++{
go func(){ // new goroutine
ctx := whisper.NewContext()
ctx.Process(...)
}()
}I'm having a data race error right now. |
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Any qualms against including pre-compiled static libraries for the go bindings (if not more?). The https://github.com/rogchap/v8go is a nice demonstration of how doing prevents having to worry about the c toolchain and the library can effectively be treated as a native go library. See https://github.com/rogchap/v8go/blob/master/cgo.go and https://github.com/rogchap/v8go/blob/master/.github/workflows/v8build.yml for how they build those static libraries. |
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lol such good sense, I agree |
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does make it a little more platform restricted...I can see why it'd be good to at least make sure the full compile works. |
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I've done similar to what your saying here.
https://github.com/jaybinks/goConstmeWhisper
And yea, I kinda agree.
This allows you to simply download a binary .so of whisper without being
required to build it yourself.
That being said, it's also not super feasible since your going to get a
very unoptimized whisper library
…On Sun, 25 June 2023, 9:00 am Travis Cline, ***@***.***> wrote:
Any qualms against including pre-compiled libraries for the go bindings
(if not more?). The https://github.com/rogchap/v8go is a nice
demonstration of how doing prevents having to worry about the c toolchain
and the library can effectively be treated as a native go library.
See https://github.com/rogchap/v8go/blob/master/cgo.go and
https://github.com/rogchap/v8go/blob/master/.github/workflows/v8build.yml
for how they build those binaries.
—
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<#312 (comment)>,
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That doesn't seem to match my definition of 'infeasible' -- can you elaborate? |
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It would be interesting to see how your performance observations scale with
much longer audio durations.
or, simply looping over the same audio multiple times after loading the
model etc.
My gut says the difference must be memory copies vs pointers or something
like this.
…On Thu, 29 Jun 2023 at 03:11, Bill Mill ***@***.***> wrote:
I made three samples and tested their performance on MLK's full "I have a
dream" speech:
- binding libwhisper.so directly and using cgo: 24s
- using the "low-level" bindings: 31s
- using the "high-level" bindings: 55s
So there's a significant cost to using either of the official bindings.
I'm not sure where the cost comes in on the low-level bindings, because my
cgo looks extremely similar to what it's doing, but it's repeatably much
faster.
All programs are available here
<https://github.com/llimllib/blisper/tree/abad02796b6edd51fb01a9e529a46fd4420b6d85>
(I've linked directly to the version I used for these tests)
—
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Sincerely
Jay
|
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I had read that the go > boundary was a choke point , but never in my
wildest dreams did I ever consider it was THIS bad.
WOW .
Just for kicks, how does your sotest / lltest compare against the native C
CLI app on the same file / system / settings ??
…On Fri, 30 Jun 2023 at 05:44, Bill Mill ***@***.***> wrote:
For kicks, I edited the bindings to remove the progress callbacks on the
theory that that caused frequent calls across the go -> C boundary, and
that dropped the time for the low-level bindings to 14:19 from 62:28 -
pretty conclusive evidence that they are a major issue.
Here's the diff:
--- whisper.go 2023-06-26 08:49:04+++ whisper.2.go 2023-06-29 15:43:00@@ -326,10 +326,10 @@
// It seems this approach can offer some speedup in some cases.
// However, the transcription accuracy can be worse at the beginning and end of each chunk.
func (ctx *Context) Whisper_full_parallel(params Params, samples []float32, processors int, encoderBeginCallback func() bool, newSegmentCallback func(int)) error {- registerEncoderBeginCallback(ctx, encoderBeginCallback)- registerNewSegmentCallback(ctx, newSegmentCallback)- defer registerEncoderBeginCallback(ctx, nil)- defer registerNewSegmentCallback(ctx, nil)+ // registerEncoderBeginCallback(ctx, encoderBeginCallback)+ // registerNewSegmentCallback(ctx, newSegmentCallback)+ // defer registerEncoderBeginCallback(ctx, nil)+ // defer registerNewSegmentCallback(ctx, nil)
if C.whisper_full_parallel((*C.struct_whisper_context)(ctx), (C.struct_whisper_full_params)(params), (*C.float)(&samples[0]), C.int(len(samples)), C.int(processors)) == 0 {
return nil
—
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Sincerely
Jay
|
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Sorry I missed this message, github discussions doesn't thread correctly via email it seems, so I got no notification about it. Using |
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When I use I have seen the same query raised by someone. issue#597. I also tried removing Can you please tell me how I should resolve this issue as I want to bind in my own Golang package. It asks me to compile Could this error be due to the low version of my Mac system? I'm using an Intel Core i7 processor and version 12.6.3. If so, I'll update my system (it's slow to update and I want to make sure it's not the system version first) |
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When I run
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I'm not an expert, but it seems like that's just a warning and the build is working |
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Thanks for the reply, but |
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The execution of Then in the parent directory, it should generate a target file called |
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Could you please tell me how to use flags?
`Loading "--language" system_info: n_threads = 8 / 8 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | METAL = 0 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 | COREML = 0 | OPENVINO = 0 | Loading "ru" |
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Try
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Hi, I am trying to execute |
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I'm getting the same error in different scenario, I used the bindings and I'm running this command: LIBRARY_PATH=./whisper.cpp C_INCLUDE_PATH=./whisper.cpp go build .And I get this output: /opt/homebrew/Cellar/go/1.21.0/libexec/pkg/tool/darwin_arm64/link: running cc failed: exit status 1
ld: Undefined symbols:
_MTLCopyAllDevices, referenced from:
_ggml_metal_init in libwhisper.a[7](ggml-metal.o)
_MTLCreateSystemDefaultDevice, referenced from:
_ggml_backend_metal_buffer_type_alloc_buffer in libwhisper.a[7](ggml-metal.o)
_ggml_backend_metal_buffer_type_get_max_size in libwhisper.a[7](ggml-metal.o)
_ggml_backend_metal_buffer_from_ptr in libwhisper.a[7](ggml-metal.o)
_ggml_metal_init in libwhisper.a[7](ggml-metal.o)
_OBJC_CLASS_$_MTLCaptureDescriptor, referenced from:
in libwhisper.a[7](ggml-metal.o)
_OBJC_CLASS_$_MTLCaptureManager, referenced from:
in libwhisper.a[7](ggml-metal.o)
_OBJC_CLASS_$_MTLCompileOptions, referenced from:
in libwhisper.a[7](ggml-metal.o)
_OBJC_CLASS_$_MTLComputePassDescriptor, referenced from:
in libwhisper.a[7](ggml-metal.o)
_OBJC_CLASS_$_NSBundle, referenced from:
in libwhisper.a[7](ggml-metal.o)
_OBJC_CLASS_$_NSProcessInfo, referenced from:
in libwhisper.a[7](ggml-metal.o)
_OBJC_CLASS_$_NSString, referenced from:
in libwhisper.a[7](ggml-metal.o)
clang: error: linker command failed with exit code 1 (use -v to see invocation)
make: *** [build] Error 1 |
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#1899 Related issue. |
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I've created a PR to setup Makefile env vars properly and got my binding running. #1530 |
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Has anyone had success building the whisper.cpp library using CUBLAS, OPENBLAS, etc and then using that from a go app? When I use I opened #1553 to ask about this but thought I should drop a comment here as well. |
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Hi , does someone has similar issue? I got it run as a container in Kubernetes cluster (intel CPU) but it's very slow. I suspect no hardware acceleration enabled but not sure how to do that. below is my dockerfile. Thanks |
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Hey, that's a different thing - and very related to your OS and docker setup, not with metal and mac os + arm. In any case look at docker capabilities to enable gpu access - that's very dependent on drivers and so on: https://docs.docker.com/compose/gpu-support/ |
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no GPU, just Intel CPU for the inference. I suspect the AVX or F16C capacity is not leveraged by the golang binary. |
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from the log, it looks like the AVX is already enabled when building libwhisper.a |
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I have some questions about this golang binding implementation. I made it so far, that I can use the if on the demo files that come with it. Also one other wav-file gets analysed properly, another wav-file is getting analysed as "Musik" :D even tho it i a normal speech. So in general I have some questions:
Does it benefit the tools performance, if this is getting run on an Intel CPU with an iGPU? Thanks in advance! |
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It would also be awesome if it could take all common audio codecs/formats (AC3, DTS, DTS-HD MA, TrueHD, TrueHD Atmos, OGG/OGA, MP4/M4A, ASF/WMA, MP3, FLAC, ALAC, DST, OPUS) of another process, that would be able to take in anything and convert it to WAV, so it can process it :) At least it would be cool on the long run. So this can be used for analysing every Video/Playbook and eighter create subtitles, or just to index the words it contains. |
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I'm not the author but based on my usage, live streaming would be possible if you buffered chunks (as in each 10s streaming you run the model on a goroutine). Converting from stream to chunks would be on your own. I think that even Context.Process taking a full buffer and its segment/progress callbacks can be wrapped with an io.Reader. |
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You make your Go code read float32 from standard input which is what the whisper model reads Then feed it from use large-v3-turbo model of 2024-12: it’s 100× better With Core ML on M, you be 2×25× at 20% CPU load On Linux Intel cpu whisper will eat all cores 0%id, 2 GiB RAM and still only do 1.1× Core ML is 45× and 80% of the cpu better |
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Question: C++/C noobie here. Can we also expose the basic stream implementation in the bindings? Or is that not possible for some reason? I saw djthorpe has his own Go implementation that's a bit buggy and hard to get running relative to this. Wondering if we can do without another implementation and only maintain this one stream here! |
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Hello trying to follow the Readme but getting this error when I run Any ideas? |
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This didn't help, unfortunately. |
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Sorry to hear that. I do have an example of buiding with CUDA enabled libggml / libwhisper / go bindings in my project here, if that's at all useful? https://github.com/mutablelogic/go-whisper I use pkgconfig to bind to all the libraries needed and I start by generating all the pkgconfig files first. |
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Thanks David, appreciate your taking the time to reply. Will check out your project to see if I can get some pointers. |
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Hey! If anyone is still interested: |
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Definitely still interested! Thank you very much! Will take a look. |
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It seems that go bindings cannot be build using apple clang, but if I use brew version of llvm, I get errors as it is not able to use apple frameworks named in bindings. its M1 mac on macOS 14.4 |
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Here are commands for macOS 15.2: Core ML and OpenMP |
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Hello, I am trying to use the Go bindings for Whisper.cpp, after following the documentation I am having an error with the Anyone having this issue on Linux and have a fix? I also tried with Docker like this, and I still have the error: FROM golang:alpine AS libBuilder
RUN apk add git build-base
WORKDIR /
RUN git clone https://github.com/ggerganov/whisper.cpp.git
WORKDIR /whisper.cpp/bindings/go
RUN make whisper |
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Looked into it a bit and you need to replace the following in But now if I run |
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I also took a look at this. Version 1.7.3 of whisper.cpp has deprecated building via Makefile, so the new way to do it is to update the Makefile targets is: On my system, this places some libraries in the
I know from also compiling with CUDA that there are other libraries created when GPU-specific features are also included. The whisper process creates a file The bigger issue is that the go bindings are out-of-date as the whisper API has changed. I have written some new bindings here but didn't test them enough to merge them back into the whisper.ccp repo. |
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With a bit more testing, a modified version of the Not sure yet how you'd like to create this pkgconfig file. I have some examples in my own repo on using |
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Help with Setting Up whisper.cpp in a Wails2 Project Hello, I’m a beginner with both C++ and Go, and I am trying to integrate whisper.cpp into my application built using the Wails2 framework to recognize text from audio data. I followed the instructions in the Go bindings but encountered an issue while building the project. Initially, I tried to compile the project using make whisper as instructed, expecting to generate the libwhisper.a file. However, I received the following error: Then, based on the main README, I proceeded with the cmake build process: This successfully generated the libwhisper.a file in the build directory. I then copied both libwhisper.a and whisper.h into my project, but when I tried to run wails dev to debug, I encountered the following error: From the error message, I understand that it’s looking for the ggml.h file. However, I could not find this file anywhere in the entire whisper.cpp repository, nor is there any mention of how to build it. Could someone kindly help me? My goal is to use whisper.cpp in my Wails2 project, and any advice or guidance would be greatly appreciated! My environment: Windows 11 Wishing everyone a happy and prosperous New Year! May 2025 bring you success and happiness! |
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The include directory flags are as follows, replacing ${prefix} with the repository path (whisper.cpp) |
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Thank you for your reply. I executed the following command:
With this setup, the error about missing ggml.h was resolved. However, now I am encountering a new issue: undefined references to various ggml methods. The error messages are as follows (there are many similar errors, so I am only providing a snippet): I have also tried copying all ggml-related files into my project's lib directory and linking them, but I encountered the same errors. Do you have any suggestions on how I can resolve this issue? Thank you in advance for your help! |
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Yes, you'll also need to link the GGML libraries. The library flags (CGO_ LDFLAGS) will be something like: but it depends on the version of whisper.cpp (you can see the discussion above about the recent changes to building) |
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Thanks for your willingness to help, even though it didn’t quite solve my issue. For me, looking into the Makefile is still a bit challenging, but I’ll try with ChatGPT’s assistance. By the way, why is this Go building tool in such a nearly unmaintained state? I thought Go was supposed to be a pretty popular language! |
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It's popular, but known to have a "difficult" time binding with third party libraries :-( Good luck and let me know if you need some more help. |
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large-v3-turbo whisper.cpp 1.7.4 Go Bindings macOS 15.2 Core ML sustained transcription throughput: M1 Max: 2×23× or 38× after 10+ hours, instances converge towards 23–24× GPU load 40% per instance macOS compile commands: #2696 (comment) |
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go build macOS: go run macOS: Go executable macOS: |
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Hello @resolutecacke, do you have something for Maybe? I running on M1 Pro and I run using: C_INCLUDE_PATH="/.../projects/whisper.cpp/include" LIBRARY_PATH="/.../projects/whisper.cpp/bindings/go/build/src" CGO_CFLAGS="-I /.../projects/whisper.cpp/include -I /.../projects/whisper.cpp/ggml/include" go run ./cmd/serve |
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I'm stupid, I'm using default clang, you need to use llvm ^ |
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after 5+ days of transcribing, macOS may slow down to around 10×. Possibly macOS restart may be required to regain capabilities. If there is a period of high memory pressure or GPU load, macOS may not recover. It is unclear whether transcription quality is affected It is necessary to constantly measure and monitor throughput per context-process method invocation, per audio file and per executable invocation. We know macOS is garbage and this is how that shows. It’s the processor that’s great The speed multiple is fairly constant, but higher for non-speech noise or silence, or longer files If it’s not 20×+, restart the executable or reboot macOS. Should be done to secure transcription quality |
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and others
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General discussion about the
gobindings forwhisper.cppCurrent state: bindings/go
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