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File size: 2,327 Bytes
542c765 6c11af5 542c765 6c11af5 542c765 6c11af5 542c765 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 | # main.py — MERGED VERSION
# Source backend routers (analyze, chat, doctor_upload) + scaffold routers (nutrition, exercise)
import os
from dotenv import load_dotenv
load_dotenv() # Load .env file before anything else
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager
from app.routers import analyze, chat, doctor_upload, nutrition, exercise
@asynccontextmanager
async def lifespan(app: FastAPI):
# Load ML models on startup (if available)
print("Starting ReportRaahat backend...")
try:
from app.ml.model import load_model
load_model()
print("Model loading complete.")
except Exception as e:
print(f"Startup info — models not fully loaded: {e}")
print("Mock endpoints will work for testing.")
yield
print("Shutting down ReportRaahat backend.")
app = FastAPI(
title="ReportRaahat API",
description="AI-powered medical report simplifier for rural India",
version="2.0.0",
lifespan=lifespan
)
app.add_middleware(
CORSMiddleware,
allow_origins=[
"http://localhost:3000",
"http://localhost:7860",
"https://reportraahat.vercel.app",
"https://*.vercel.app",
"https://*.hf.space",
"https://huggingface.co",
],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# ML teammate's routes
app.include_router(analyze.router, tags=["Report Analysis"])
app.include_router(chat.router, tags=["Doctor Chat"])
app.include_router(doctor_upload.router, tags=["Human Dialogue"])
# Member 4's routes
app.include_router(nutrition.router, prefix="/nutrition", tags=["Nutrition"])
app.include_router(exercise.router, prefix="/exercise", tags=["Exercise"])
@app.get("/")
async def root():
return {
"name": "ReportRaahat API",
"version": "2.0.0",
"status": "running",
"endpoints": {
"analyze": "POST /analyze",
"upload_and_chat": "POST /upload_and_chat (RECOMMENDED - starts dialogue immediately)",
"chat": "POST /chat",
"nutrition": "POST /nutrition",
"exercise": "POST /exercise",
"docs": "/docs"
}
}
@app.get("/health")
async def health():
return {"status": "healthy"}
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