Updated build process

.gitignore

@@ -1,2 +1,3 @@
 spchcat
-build
+build
+audio*

README.md

@@ -137,6 +137,17 @@ You should replace `../STT_download` with the path to the Coqui library folder.
 LD_LIBRARY_PATH=../STT_download ./spchcat
 ```
 
+```
+sudo docker run -it -v`pwd`:/spchcat ubuntu:xenial bash
+apt-get update && apt-get install -y sox libsox-dev libpulse-dev make gcc g++ wget
+cd /spchcat
+make clean && make spchcat LINK_PATH_STT=-Lbuild/lib EXTRA_CFLAGS_STT=-Ibuild/lib
+
+wget --quiet https://github.com/coqui-ai/STT/releases/download/v1.1.0/audio-1.1.0.tar.gz
+tar -xzf audio-1.1.0.tar.gz
+LD_LIBRARY_PATH=./build/lib ./spchcat --languages_dir=build/models/ ./audio/4507-16021-0012.wav
+```
+
 ### Models
 
 The previous step only built the executable binary itself, but for the complete tool you also need data files for each language. If you have the [`gh` GitHub command line tool](https://cli.github.com/) you can run the `download_releases.py` script to fetch [Coqui's releases](https://github.com/coqui-ai/STT-models/releases) into the `build/models` folder in your local repo. You can then run your locally-built tool against these models using the `--languages_dir` option:

definitions.mk

@@ -21,6 +21,9 @@ endif
 
 SPCHCAT_BIN   := spchcat$(PLATFORM_EXE_SUFFIX)
 CFLAGS_STT    := -std=c++11 -o $(SPCHCAT_BIN) -Os
+# Allow user-supplied flags (like include paths) from the command line.
+EXTRA_CFLAGS_STT :=
+CFLAGS_STT    += ${EXTRA_CFLAGS_STT}
 LINK_STT      := -lstt -lkenlm -ltflitedelegates -ltensorflowlite -lpulse -l pulse-simple
 LINK_PATH_STT := -L${TFDIR}/bazel-bin/native_client -L${TFDIR}/bazel-bin/tensorflow/lite
 

scripts/create_deb_package.sh

@@ -1,7 +1,7 @@
 #!/bin/bash -xe
 
 NAME=spchcat
-VERSION=0.0-1
+VERSION=0.0-2
 ARCH=amd64
 MAINTAINER=pete@petewarden.com
 DESCRIPTION="Speech recognition tool to convert audio to text transcripts."
@@ -30,12 +30,8 @@ find ${DEB_MODELS_DIR} -type f -name "*.pb*" -delete
 # Some scorers are also very large, so for convenience remove them too.
 find ${DEB_MODELS_DIR} -iname "*.scorer" -size +150M -delete
 
-# Extract and copy the libraries from Coqui's binary release.
-rm -rf ${LIB_TMP_DIR} && mkdir -p ${LIB_TMP_DIR}
-wget -q ${LIB_URL} -O ${LIB_TMP_DIR}native_client.tflite.Linux.tar.xz
-unxz ${LIB_TMP_DIR}native_client.tflite.Linux.tar.xz
-rm -rf ${LIB_DIR}  && mkdir -p ${LIB_DIR}
-tar -xf ${LIB_TMP_DIR}native_client.tflite.Linux.tar --directory ${LIB_DIR}
+# Fetch the binary library release.
+scripts/download_libs.sh
 mkdir -p ${DEB_LIB_DIR}
 cp -r  --verbose ${LIB_DIR}*.so ${DEB_LIB_DIR}
 

scripts/download_libs.sh

@@ -0,0 +1,13 @@
+#!/bin/bash -xe
+
+BUILD_DIR=build/
+LIB_URL="https://github.com/coqui-ai/STT/releases/download/v1.1.0/native_client.tflite.Linux.tar.xz"
+LIB_TMP_DIR=${BUILD_DIR}lib_tmp/
+LIB_DIR=${BUILD_DIR}lib/
+
+# Download, extract and copy the libraries from Coqui's binary release.
+rm -rf ${LIB_TMP_DIR} && mkdir -p ${LIB_TMP_DIR}
+wget -q ${LIB_URL} -O ${LIB_TMP_DIR}native_client.tflite.Linux.tar.xz
+unxz ${LIB_TMP_DIR}native_client.tflite.Linux.tar.xz
+rm -rf ${LIB_DIR}  && mkdir -p ${LIB_DIR}
+tar -xf ${LIB_TMP_DIR}native_client.tflite.Linux.tar --directory ${LIB_DIR}

scripts/download_models.py

@@ -4,7 +4,7 @@
 
 os.system("mkdir -p build/models")
 
-with open('coqui_releases.csv') as csvfile:
+with open('scripts/coqui_releases.csv') as csvfile:
     reader = csv.reader(csvfile)
     for line_index, row in enumerate(reader):
         if line_index == 0: