from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
import numpy as np
import tensorflow as tf

app = FastAPI()

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_methods=["*"],
    allow_headers=["*"],
)

class TextInput(BaseModel):
    text: str
    style: int = 0

@app.post("/generate")
async def generate_handwriting(input: TextInput):
    # Load model and generate handwriting
    # Placeholder implementation
    return {"status": "success", "message": "Handwriting generation endpoint"}

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=7860)