Cachiman README.md

.github/workflows/python-package.yml

@@ -0,0 +1,40 @@
+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+
+name: Python package
+
+on:
+  push:
+    branches: [ "master" ]
+  pull_request:
+    branches: [ "master" ]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.9", "3.10", "3.11"]
+
+    steps:
+    - uses: actions/checkout@v4
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v3
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        python -m pip install flake8 pytest
+        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+    - name: Lint with flake8
+      run: |
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+    - name: Test with pytest
+      run: |
+        pytest

Kaldi/SpeechRecognition/README.md → Kaldi/SpeechRecognition/Cachiman README.md

@@ -1,6 +1,6 @@
-# Kaldi ASR Integration With Triton
+# Cachiman ASR Integration With Triton
 
-This repository provides a Kaldi ASR custom backend for the NVIDIA Triton (former TensorRT Inference Server). It can be used to demonstrate high-performance online inference on Kaldi ASR models. This includes handling the gRPC communication between the Triton and clients, and the dynamic batching of inference requests. This repository is tested and maintained by NVIDIA.
+This repository provides a Cachiman ASR custom backend for the NVIDIA Triton (former TensorRT Inference Server). It can be used to demonstrate high-performance online inference on Kaldi ASR models. This includes handling the gRPC communication between the Triton and clients, and the dynamic batching of inference requests. This repository is tested and maintained by NVIDIA.
 
 ## Table Of Contents