Add dockerfile and requirements

Dockerfile

@@ -0,0 +1,11 @@
+FROM python:3.11-slim
+
+ENV PORT 8000
+
+COPY requirements.txt /
+RUN pip install -r requirements.txt
+
+COPY ./src /src
+#COPY .env /.env
+
+CMD uvicorn src.main:app --host 0.0.0.0 --port ${PORT}

README.md

@@ -1,2 +1,11 @@
 # project-template-generator
 template generator for final projects
+
+## run with docker
+
+build: `docker build -t llm_service .`
+run: `docker run --rm -p 8000:8000 --env-file .env llm_service`
+
+## run with docker compose
+
+build and run: `docker compose up`

docker-compose.yaml

@@ -0,0 +1,8 @@
+version: "3.9"
+services:
+  llm-backend:
+    build: .
+    ports:
+      - "8000:8000"
+    env_file:
+      - .env

requirements.txt

@@ -0,0 +1,7 @@
+fastapi
+uvicorn
+pydantic-settings
+openai
+langchain
+python-dotenv
+ruff

src/config.py

@@ -1,6 +1,6 @@
 from enum import Enum
 from functools import lru_cache
-from pydantic import BaseSettings, BaseModel
+from pydantic_settings import BaseSettings
 
 
 class GPTModel(str, Enum):

src/main.py

@@ -1,10 +1,20 @@
 from fastapi import FastAPI, Depends
+from starlette.middleware.cors import CORSMiddleware
 from src.llm_service import TemplateLLM
 from src.prompts import ProjectParams
 from src.parsers import ProjectIdeas
 
+
 app = FastAPI()
 
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
 
 def get_llm_service():
     return TemplateLLM()

src/prompts.py

@@ -1,6 +1,5 @@
 from enum import Enum
 from pydantic import BaseModel
-from langchain import PromptTemplate
 
 PROJECT_TEMPLATE = """You are an {major} senior student looking for a final project.
     In order to classify for your dissertation you need to present a project proposal with the following