docker container deployed on local host

Author: simR122

.github/workflows/docker-deploy.yml

@@ -0,0 +1,27 @@
+name: Docker Build and Push
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v3
+
+    - name: Log in to Docker Hub
+      uses: docker/login-action@v2
+      with:
+        username: ${{ secrets.DOCKER_USERNAME }}
+        password: ${{ secrets.DOCKER_PASSWORD }}
+
+    - name: Build and push Docker image
+      uses: docker/build-push-action@v4
+      with:
+        context: .
+        push: true
+        tags: ${{ secrets.DOCKER_USERNAME }}/mlops1_hotel:latest

Dockerfile

@@ -1,5 +1,5 @@
-# Use a lightweight Python image
-FROM python:slim
+# Use an official Python runtime as a parent image
+FROM python:3.9-slim
 
 # Set environment variables to prevent Python from writing .pyc files & Ensure Python output is not buffered
 ENV PYTHONDONTWRITEBYTECODE=1 \
@@ -8,26 +8,34 @@ ENV PYTHONDONTWRITEBYTECODE=1 \
 # Set the working directory
 WORKDIR /app
 
-# Install system dependencies required by LightGBM
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    libgomp1 \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/*
+# Copy the current directory contents into the container
+COPY . /app
 
-# Copy the application code
-COPY . .
+# Add the required library for LightGBM
+RUN apt-get update && apt-get install -y libgomp1 && rm -rf /var/lib/apt/lists/*
 
-# Install the package in editable mode
-RUN pip install --no-cache-dir -e .
-
-# Train the model before running the application
-RUN python pipeline/training_pipeline.py
+# Install any needed packages specified in requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
 
 # Expose the port that Flask will run on
 EXPOSE 5000
 
 # Command to run the app
 CMD ["python", "application.py"]
 
+from flask import Flask
+
+app = Flask(__name__)
+
+@app.route('/')
+def home():
+    return "Hello, AWS Lambda!"
+
+from application import app
+
+def handler(event, context):
+    from serverless_wsgi import handle_request
+    return handle_request(app, event, context)
+