Updated versions

README.md

@@ -1,15 +1,38 @@
 # Docker DeepSpeech Server
-
 This is a dockerfile to serve a [deepspeech server](https://github.com/MainRo/deepspeech-server).
 
 # How to use this image
+Create a deepspeech server configuration file as specified in config.example.yaml. Download and copy
+a model tflite and a scorer file and run the following command:
 
-    docker run -dt --name deepspeech -p 0.0.0.0:8080:8080 -v [host-model-path]:/opt/deepspeech romainsah/deepspeech-server:latest
+    docker run -dt --name deepspeech \
+    -p 0.0.0.0:8080:8080 \
+    -v [host-model-path]:/opt/deepspeech \
+    romainsah/deepspeech-server:latest
 
 where [host-model-path] is a host directory that contains the deepspeech server
-configuration file, the model file, and the scorer file.
+configuration file (e.g. config.yaml), the model file (e.g. model.tflite), and the scorer file (e.g. huge-vocabulary.scorer).
 
 ## Running on GPU
+Change the tag of the docker image in above command to latest-gpu, like this:
+
+    docker run -dt --name deepspeech \
+    -p 0.0.0.0:8080:8080 \
+    -v [host-model-path]:/opt/deepspeech \
+    romainsah/deepspeech-server:latest-gpu
+
+## How to get the models
+
+The latest docker image was tested with the following model and scorer files:
+
+https://github.com/coqui-ai/STT-models/releases/download/english/coqui/v1.0.0-huge-vocab/model.tflite
+
+https://github.com/coqui-ai/STT-models/releases/download/english/coqui/v1.0.0-huge-vocab/huge-vocabulary.scorer
+
+## How to build this image
 
-    docker run -dt --gpus all --name deepspeech -p 0.0.0.0:8080:8080 -v [host-model-path]:/opt/deepspeech romainsah/deepspeech-server:latest-gpu
+    cd cpu && \
+    docker build -t deepspeech-server:latest .
 
+    cd gpu && \
+    docker build -t deepspeech-server:latest-gpu .

config.example.yaml

@@ -0,0 +1,15 @@
+coqui:
+  model: model.tflite
+  scorer: huge-vocabulary.scorer
+  beam_width: 500
+  lm_alpha: 0.931289039105002
+  lm_beta: 1.1834137581510284
+server:
+  http:
+    host: "0.0.0.0"
+    port: 8080
+    request_max_size: 1048576
+log:
+  level:
+    - logger: deepspeech_server
+      level: DEBUG

cpu/Dockerfile

@@ -1,8 +1,11 @@
-FROM tensorflow/tensorflow:1.15.2-py3
+FROM tensorflow/tensorflow:2.17.0
 
-RUN pip3 install --upgrade pip
+COPY requirements.txt /tmp
 
-COPY cpu/requirements.txt /tmp
-RUN pip3 install --no-cache-dir -r /tmp/requirements.txt
+RUN apt update && apt install python3-pip -y
 
-ENTRYPOINT deepspeech-server --config /opt/deepspeech/config.json
+RUN python3 -m pip install --upgrade pip
+
+RUN python3 -m pip install --no-cache-dir -r /tmp/requirements.txt
+
+ENTRYPOINT ["deepspeech-server", "--config", "/opt/deepspeech/config.yaml"]

cpu/requirements.txt

@@ -1,2 +1,5 @@
-deepspeech==0.8.2
-deepspeech-server==2.1.0
+deepspeech-server>=3.0.1
+numpy<2
+cyclotron~=1.2
+cyclotron-aiohttp~=1.0
+cyclotron-std~=1.0

gpu/Dockerfile

@@ -1,8 +1,11 @@
-FROM tensorflow/tensorflow:1.15.2-gpu-py3
+FROM tensorflow/tensorflow:2.17.0-gpu
 
-RUN pip3 install --upgrade pip
+COPY requirements.txt /tmp
 
-COPY gpu/requirements.txt /tmp
-RUN pip3 install --no-cache-dir -r /tmp/requirements.txt
+RUN apt update && apt install python3-pip -y
 
-ENTRYPOINT deepspeech-server --config /opt/deepspeech/config.json
+RUN python3 -m pip install --upgrade pip
+
+RUN python3 -m pip install --no-cache-dir -r /tmp/requirements.txt
+
+ENTRYPOINT ["deepspeech-server", "--config", "/opt/deepspeech/config.yaml"]

gpu/requirements.txt

@@ -1,2 +1,5 @@
-deepspeech-gpu==0.8.2
-deepspeech-server==2.1.0
+deepspeech-server>=3.0.1
+numpy<2
+cyclotron~=1.2
+cyclotron-aiohttp~=1.0
+cyclotron-std~=1.0