Deploy handwriting synthesis API

Dockerfile

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+FROM python:3.9-slim
+
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

app/main.py

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+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)

requirements.txt

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+fastapi==0.109.2
+uvicorn==0.27.0
+numpy==1.26.4
+tensorflow==2.15.0