dockerized the backend

Dockerfile

@@ -0,0 +1,15 @@
+FROM python:3.10-slim
+
+WORKDIR /backend
+
+COPY . /backend
+
+RUN pip install --no-cache-dir poetry && \
+    poetry config virtualenvs.create false && \
+    poetry install --no-interaction --no-ansi
+
+EXPOSE 80
+
+ENV NAME LLM_Prompt_Engine
+
+CMD ["python", "app.py"]

Makefile

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+.PHONY: install test docker-build docker-run clean
+
+install:
+    poetry install
+
+test:
+    poetry run pytest
+
+docker-build:
+    docker build -t llm_prompt_engine .
+
+docker-run:
+    docker run -p 80:80 llm_prompt_engine
+
+clean:
+    rm -rf __pycache__

pyproject.toml

@@ -0,0 +1,16 @@
+[tool.poetry]
+name = "llm_prompt_engine"
+version = "0.1.0"
+description = "A prompt engine for large language models"
+authors = ["Mistir Nigusse <mistirnigusse0@gmail.com>"]
+
+[tool.poetry.dependencies]
+python = "^3.10"
+# Add your other dependencies here
+
+[tool.poetry.dev-dependencies]
+pytest = "^7.0"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"