feat: add speech-brain-asr-whisper-large-v2-commonvoice-fa #87

	# yaml-language-server: $schema=https://json.schemastore.org/github-workflow.json

	name: Run ASR model benchmark

	on:
	workflow_dispatch:

	pull_request:

	push:
	branches:
	- next

	jobs:
	benchmark:
	runs-on: ubuntu-latest
	strategy:
	matrix:
	include:
	- path: wav2vec2-large-xlsr-persian-v3
	- path: nemo
	- path: whisper-large-v3
	- path: speech-brain-asr-whisper-large-v2-commonvoice-fa

	steps:
	- name: Checkout repository
	uses: actions/checkout@v4

	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: "3.11"

	- name: Cache pip
	uses: actions/cache@v4
	with:
	path: ~/.cache/pip
	key: ${{ runner.os }}-pip-${{ hashFiles('/requirements.txt') }}-${{ hashFiles('/setup.py') }}
	restore-keys: \|
	${{ runner.os }}-pip-

	- name: Install ffmpeg
	run: \|
	sudo apt-get install -y ffmpeg

	- name: Install dependencies
	run: pip3 install -r ${{ matrix.path }}/requirements.txt

	- name: Run Python script to transcript and generate report
	id: benchmark_run
	run: \|
	cd ${{ matrix.path }}
	python main.py

	- name: Generate comment
	run: \|
	cd ${{ matrix.path }}
	report=$(cat result.json \| jq -r '[.transcription, .werBeforeNormalization, .normalizedTranscription, .werAfterNormalization] \| @csv')

	echo "## ASR Benchmark Report for ${{ matrix.path }}" >> $GITHUB_STEP_SUMMARY
	echo "\| Transcription \| WER Before Normalization \| Normalized Transcription \| WER After Normalization \|" >> $GITHUB_STEP_SUMMARY
	echo "\|---\|---\|---\|---\|" >> $GITHUB_STEP_SUMMARY
	echo "$report" \| awk -F, '{print "\| " $1 " \| " $2 " \| " $3 " \| " $4 " \|"}' >> $GITHUB_STEP_SUMMARY

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