add docker litongjava/whisper-cpp-server:1.0.0

distribute/docker/pure/Dockerfile

@@ -6,4 +6,4 @@ COPY ggml-metal.metal /app/
 COPY cmake-build-release/simplest /app/
 COPY cmake-build-release/whisper_http_server_base_httplib /app/
 COPY cmake-build-release/whisper_server_base_on_uwebsockets /app/
-copy cmake-build-release/libwhisper.so /app
+COPY cmake-build-release/libwhisper.so /lib

distribute/docker/pure/readme.md

@@ -4,5 +4,60 @@ docker build -t litongjava/whisper-cpp-server:1.0.0 -f distribute/docker/pure/Do
 
 test
 ```
-docker run --rm -v models:/models -v jfk.wav:/jfk.wav litongjava/whisper-cpp-server:1.0.0 simplest -m /models/ggml-base.en.bin /jfk.wav
-```
+docker run --rm \
+  -v "$(pwd)/models":/models \
+  -v "$(pwd)/jfk.wav":/jfk.wav \
+  litongjava/whisper-cpp-server:1.0.0 /app/simplest -m /models/ggml-base.en.bin /jfk.wav
+```
+log
+```
+root@ping-Inspiron-3458:~/code/whisper-cpp-server# docker run --rm \
+>   -v "$(pwd)/models":/models \
+>   -v "$(pwd)/jfk.wav":/jfk.wav \
+>   litongjava/whisper-cpp-server:1.0.0 /app/simplest -m /models/ggml-base.en.bin /jfk.wav
+whisper_init_from_file_with_params_no_state: loading model from '/models/ggml-base.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 = 512
+whisper_model_load: n_audio_head  = 8
+whisper_model_load: n_audio_layer = 6
+whisper_model_load: n_text_ctx    = 448
+whisper_model_load: n_text_state  = 512
+whisper_model_load: n_text_head   = 8
+whisper_model_load: n_text_layer  = 6
+whisper_model_load: n_mels        = 80
+whisper_model_load: ftype         = 1
+whisper_model_load: qntvr         = 0
+whisper_model_load: type          = 2 (base)
+whisper_model_load: adding 1607 extra tokens
+whisper_model_load: n_langs       = 99
+whisper_model_load:      CPU total size =   147.37 MB
+
+whisper_model_load: model size    =  147.37 MB
+whisper_init_state: kv self size  =   16.52 MB
+whisper_init_state: kv cross size =   18.43 MB
+whisper_init_state: compute buffer (conv)   =   16.39 MB
+whisper_init_state: compute buffer (encode) =  132.07 MB
+whisper_init_state: compute buffer (cross)  =    4.78 MB
+whisper_init_state: compute buffer (decode) =   96.48 MB
+
+system_info: n_threads = 4 / 4 | AVX = 1 | AVX2 = 1 | AVX512 = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | METAL = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | CUDA = 0 | COREML = 0 | OPENVINO = 0 | 
+
+main: WARNING: model is not multilingual, ignoring language and translation options
+main: processing '/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 processors, lang = en, task = transcribe, timestamps = 1 ...
+
+
+whisper_print_timings:     load time =   169.51 ms
+whisper_print_timings:     fallbacks =   0 p /   0 h
+whisper_print_timings:      mel time =    59.75 ms
+whisper_print_timings:   sample time =    25.05 ms /     1 runs (   25.05 ms per run)
+whisper_print_timings:   encode time =  6384.86 ms /     1 runs ( 6384.86 ms per run)
+whisper_print_timings:   decode time =   236.91 ms /    27 runs (    8.77 ms per run)
+whisper_print_timings:   batchd time =     0.00 ms /     1 runs (    0.00 ms per run)
+whisper_print_timings:   prompt time =     0.00 ms /     1 runs (    0.00 ms per run)
+whisper_print_timings:    total time =  6885.22 ms
+start
+
+[00:00:00.000 --> 00:00:11.000]   And so my fellow Americans, ask not what your country can do for you, ask what you can do for your country.
+```