[Feat] add dockerfile

.github/workflows/cd-dev.yml

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+name: CD - Dev
+
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - dev
+
+jobs:
+  build:
+    name: Build & Push Docker Image
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Discord Notification
+        env:
+          DISCORD_WEBHOOK: ${{ secrets.DISCORD_WEBHOOK_URL }}
+        uses: Ilshidur/action-discord@master
+        with:
+          args:
+            '📈 AI predict 서버 배포 시작'
+
+      # 코드 체크아웃
+      - name: Checkout repository
+        uses: actions/checkout@v2
+        with:
+          fetch-depth: 0
+
+      - name: SSH to EC2 and deploy
+        uses: appleboy/ssh-action@v1.2.0
+        with:
+          host: ${{ secrets.EC2_HOST }}
+          username: ${{ secrets.EC2_USER }}
+          key: ${{ secrets.EC2_SSH_KEY }}
+          script: |
+            cd ai-predict-server
+            git pull
+            sudo docker stop weathertago-ai-server || true
+            sudo docker rm -f weathertago-ai-server || true
+            sudo docker build -t ${{ secrets.DOCKER_HUB_USERNAME }}/weathertago-ai-server:latest .
+            sudo docker run -d --name weathertago-ai-server -p 8000:8000 ${{ secrets.DOCKER_HUB_USERNAME }}/weathertago-ai-server:latest
+        env:
+          ACTIONS_RUNNER_DEBUG: true
+
+
+      - name: Discord Notification
+        env:
+          DISCORD_WEBHOOK: ${{ secrets.DISCORD_WEBHOOK_URL }}
+        uses: Ilshidur/action-discord@master
+        with:
+          args:
+            '😎 AI predict 서버 배포 완료됨'
+

Dockerfile

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+FROM python:3.10-slim
+
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip install -r requirements.txt
+
+COPY ai_server.py .
+
+CMD ["uvicorn", "ai_server:app", "--host", "0.0.0.0", "--port", "8000"]