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641b32e afd6ed3 641b32e afd6ed3 641b32e afd6ed3 641b32e afd6ed3 641b32e 49f8ccd afd6ed3 641b32e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | from __future__ import annotations
import os
from typing import Any
from fastapi import FastAPI, File, Form, HTTPException, UploadFile
from fastapi.middleware.cors import CORSMiddleware
from .model import MODEL_ID, DEFAULT_MAX_TOKENS, generate_caption, load_model
app = FastAPI(
title="img3txt - Florence-2 API",
description="Simple image-to-text endpoint powered by Florence-2-base.",
version="1.0.0",
)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@app.on_event("startup")
def warmup_model() -> None:
load_model()
@app.get("/health")
def health() -> dict[str, Any]:
return {"status": "ok", "model": MODEL_ID}
@app.post("/predict")
async def predict(
file: UploadFile = File(...),
text: str | None = Form(None),
max_tokens: int = Form(DEFAULT_MAX_TOKENS),
) -> dict[str, Any]:
image_bytes = await file.read()
if not image_bytes:
raise HTTPException(status_code=400, detail="Empty file uploaded")
try:
result = generate_caption(image_bytes, text, max_tokens)
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
return {"result": result}
if __name__ == "__main__":
import uvicorn
port = int(os.getenv("PORT", "7860"))
uvicorn.run("src.server:app", host="0.0.0.0", port=port)
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