main.py

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from gradio_client import Client

# Init FastAPI app
app = FastAPI()

# Initialize the Gradio Client
client = Client("Efficient-Large-Model/SanaSprint")

# Request body schema
class GenerationRequest(BaseModel):
    prompt: str
    model_size: str = "1.6B"
    seed: int = 0
    randomize_seed: bool = True
    width: int = 1024
    height: int = 1024
    guidance_scale: float = 4.5
    num_inference_steps: int = 2

@app.post("/generate")
async def generate_image(request: GenerationRequest):
    try:
        result = client.predict(
            prompt=request.prompt,
            model_size=request.model_size,
            seed=request.seed,
            randomize_seed=request.randomize_seed,
            width=request.width,
            height=request.height,
            guidance_scale=request.guidance_scale,
            num_inference_steps=request.num_inference_steps,
            api_name="/infer"
        )
        return {"result": result}
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))