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 | |
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) | |