features/ai_human_image_classifier/main.py

from fastapi import FastAPI
from routes import router as api_router

# Initialize the FastAPI app
app = FastAPI(
    title="Real vs. Fake Image Classification API",
    description="An API to classify images as real or fake using OpenAI's CLIP and an SVM model.",
    version="1.0.0"
)

# Include the API router
# All routes defined in routes.py will be available under the /api prefix
app.include_router(api_router, prefix="/api", tags=["Classification"])

@app.get("/", tags=["Root"])
async def read_root():
    """
    A simple root endpoint to confirm the API is running.
    """
    return {"message": "Welcome to the Image Classification API. Go to /docs for the API documentation."}


# To run this application:
# 1. Make sure you have all dependencies from requirements.txt installed.
# 2. Make sure the 'svm_model.joblib' file is in the same directory.
# 3. Run the following command in your terminal:
#    uvicorn main:app --reload