greenintellect / app /main.py
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Deploy GreenIntellect Backend API with ML models and scraping
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from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from dotenv import load_dotenv
from .api import endpoints
from .db.session import engine, Base
load_dotenv()
# Create Tables
# Create Tables
Base.metadata.create_all(bind=engine)
app = FastAPI(title="Green Intellect API", version="1.0.0")
# CORS
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.include_router(endpoints.router, prefix="/api")
@app.get("/")
def read_root():
return {"message": "Welcome to Green Intellect API"}
if __name__ == "__main__":
import uvicorn
uvicorn.run("app.main:app", host="0.0.0.0", port=8000, reload=True)