ci cd pipeline added

.github/main.yaml

@@ -0,0 +1,20 @@
+name: Sync to Hugging Face hub
+
+on:
+  push:
+    branches: [main]
+
+  # to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+jobs:
+  sync-to-hub:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+        with:
+          fetch-depth: 0
+      - name: Push to hub
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: git push --force https://Md-Hakim:[email protected]/spaces/Md-Hakim/image-colorization-mlops main

Dockerfile

@@ -0,0 +1,12 @@
+FROM python:3.11-slim
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+
+COPY . /code/
+
+CMD ["streamlit", "run", "app.py"]

README.md

@@ -1 +1,63 @@
-# image-colorization-mlops
+---
+title: Image Colorization using Mlops
+emoji: 📉
+colorFrom: red
+colorTo: yellow
+sdk: streamlit
+sdk_version: 1.37.1
+app_file: app.py
+pinned: false
+license: mit
+---
+
+
+
+# image-colorization-mlops
+
+
+## Workflows
+
+1. Update config.yaml
+2. Update secrets.yaml [Optional]
+3. Update params.yaml
+4. Update the entity
+5. Update the configuration manager in src config
+6. Update the components
+7. Update the pipeline 
+8. Update the main.py
+9. Update the dvc.yaml
+10. app.py
+
+# How to run?
+### STEPS:
+
+Clone the repository
+
+```bash
+https://github.com/HAKIM-ML/
+image-colorization-mlops
+
+### STEP 01- Create a conda environment after opening the repository
+
+```bash
+conda create -n cnncls python=3.8 -y
+```
+
+```bash
+conda activate cnncls
+```
+
+
+### STEP 02- install the requirements
+```bash
+pip install -r requirements.txt
+```
+
+```bash
+# Finally run the following command
+python app.py
+```
+
+Now,
+```bash
+open up you local host and port