diff --git a/.github/workflows/cla.yml b/.github/workflows/cla.yml
new file mode 100644
index 0000000..85b191c
--- /dev/null
+++ b/.github/workflows/cla.yml
@@ -0,0 +1,43 @@
+name: "CLA Assistant"
+on:
+  issue_comment:
+    types: [created]
+  pull_request_target:
+    types: [opened,closed,synchronize]
+
+# explicitly configure permissions, in case your GITHUB_TOKEN workflow permissions are set to read-only in repository settings
+permissions:
+  actions: write
+  contents: write
+  pull-requests: write
+  statuses: write
+
+jobs:
+  CLAAssistant:
+    runs-on: ubuntu-latest
+    steps:
+      - name: "CLA Assistant"
+        if: (github.event.comment.body == 'recheck' || github.event.comment.body == 'I have read the CLA Document and I hereby sign the CLA') || github.event_name == 'pull_request_target'
+        uses: contributor-assistant/github-action@v2.3.0
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          # the below token should have repo scope and must be manually added by you in the repository's secret
+          # This token is required only if you have configured to store the signatures in a remote repository/organization
+          PERSONAL_ACCESS_TOKEN: ${{ secrets.PERSONAL_ACCESS_TOKEN }}
+        with:
+          path-to-signatures: '.github/signatures/version1/cla.json'
+          path-to-document: '.github/nowlab_cla.md' # e.g. a CLA or a DCO document
+          # branch should not be protected
+          branch: 'main'
+          allowlist: user1,bot*
+
+         # the followings are the optional inputs - If the optional inputs are not given, then default values will be taken
+          #remote-organization-name: enter the remote organization name where the signatures should be stored (Default is storing the signatures in the same repository)
+          #remote-repository-name: enter the  remote repository name where the signatures should be stored (Default is storing the signatures in the same repository)
+          #create-file-commit-message: 'For example: Creating file for storing CLA Signatures'
+          #signed-commit-message: 'For example: $contributorName has signed the CLA in $owner/$repo#$pullRequestNo'
+          #custom-notsigned-prcomment: 'pull request comment with Introductory message to ask new contributors to sign'
+          #custom-pr-sign-comment: 'The signature to be committed in order to sign the CLA'
+          #custom-allsigned-prcomment: 'pull request comment when all contributors has signed, defaults to **CLA Assistant Lite bot** All Contributors have signed the CLA.'
+          #lock-pullrequest-aftermerge: false - if you don't want this bot to automatically lock the pull request after merging (default - true)
+          #use-dco-flag: true - If you are using DCO instead of CLA
\ No newline at end of file
diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml
new file mode 100644
index 0000000..e3affdb
--- /dev/null
+++ b/.github/workflows/pre-commit.yml
@@ -0,0 +1,13 @@
+name: pre-commit
+
+on:
+  pull_request:
+  push: { branches: [main] }
+
+jobs:
+  pre-commit:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+      - uses: actions/setup-python@v3
+      - uses: pre-commit/action@v3.0.0
\ No newline at end of file
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
new file mode 100644
index 0000000..fd92bb7
--- /dev/null
+++ b/.pre-commit-config.yaml
@@ -0,0 +1,13 @@
+repos:
+- repo: https://github.com/psf/black
+  rev: 23.3.0
+  hooks:
+  - id: black
+    name: black-format-test
+
+- repo: https://github.com/pycqa/flake8
+  rev: 5.0.4
+  hooks:
+  - id: flake8
+    args: ['--ignore=E,F403,F405,F541,F841,W', '--select=E9,F,W6', '--per-file-ignores=__init__.py:F401']
+    name: flake8-test
\ No newline at end of file
diff --git a/benchmarks/single_gpu_inference/benchmark_resnet_inference.py b/benchmarks/single_gpu_inference/benchmark_resnet_inference.py
index aa249b5..4a2ad7a 100644
--- a/benchmarks/single_gpu_inference/benchmark_resnet_inference.py
+++ b/benchmarks/single_gpu_inference/benchmark_resnet_inference.py
@@ -109,7 +109,6 @@ def load_dataset(app, batch_size, image_size):
         return load_fake_dataset(batch_size, image_size)
 
 
-
 def int8_quantization_with_tensorRT(
     model, device, batch_size, image_size, num_classes, precision
 ):