app.py

import warnings

import requests
from fastapi import FastAPI, Request
from fastapi.responses import FileResponse, JSONResponse
from fastapi.staticfiles import StaticFiles
from slowapi import Limiter, _rate_limit_exceeded_handler
from slowapi.errors import RateLimitExceeded
from slowapi.middleware import SlowAPIMiddleware
from slowapi.util import get_remote_address

from config import ACCESS_RATE
from features.image_classifier.routes import router as image_classifier_router
from features.image_edit_detector.routes import router as image_edit_detector_router
from features.nepali_text_classifier.routes import (
    router as nepali_text_classifier_router,
)
from features.text_classifier.routes import router as text_classifier_router

warnings.filterwarnings("ignore")
limiter = Limiter(key_func=get_remote_address, default_limits=[ACCESS_RATE])

openapi_tags = [
    {"name": "English Text Classifier", "description": "Endpoints for English AI-vs-human text analysis."},
    {"name": "Nepali Text Classifier", "description": "Endpoints for Nepali AI-vs-human text analysis."},
    {"name": "AI Image Classifier", "description": "Endpoints for AI-vs-human image classification."},
    {"name": "Image Edit Detection", "description": "Endpoints for edited/forged image detection."},
    {"name": "System", "description": "Health and root endpoints."},
]

app = FastAPI(openapi_tags=openapi_tags)
# added the robots.txt
# Set up SlowAPI
app.state.limiter = limiter
app.add_exception_handler(
    RateLimitExceeded,
    lambda request, exc: JSONResponse(
        status_code=429,
        content={
            "status_code": 429,
            "error": "Rate limit exceeded",
            "message": "Too many requests. Chill for a bit and try again",
        },
    ),
)
app.add_middleware(SlowAPIMiddleware)

# Include your routes
app.include_router(text_classifier_router, prefix="/text", tags=["English Text Classifier"])
app.include_router(nepali_text_classifier_router, prefix="/NP", tags=["Nepali Text Classifier"])
app.include_router(image_classifier_router, prefix="/AI-image", tags=["AI Image Classifier"])
app.include_router(image_edit_detector_router, prefix="/detect", tags=["Image Edit Detection"])


@app.get("/", tags=["System"])
@limiter.limit(ACCESS_RATE)
async def root(request: Request):
    return {
        "message": "API is working",
        "endpoints": [
            "/text/analyse",
            "/text/upload",
            "/text/analyse-sentences",
            "/text/analyse-sentance-file",
            "/NP/analyse",
            "/NP/upload",
            "/NP/analyse-sentences",
            "/NP/file-sentences-analyse",
            "/AI-image/analyse",
        ],
    }