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from fastapi import FastAPI, File
from fastai.vision.all import *
from typing_extensions import Annotated
from huggingface_hub import hf_hub_download
import __main__
app = FastAPI()
REPO_ID = "jsagl/test-fastai"
FILENAME = "model.pkl"
def is_cat(x): return x[0].isupper()
__main__.is_cat = is_cat
learn = load_learner(hf_hub_download(repo_id=REPO_ID, filename=FILENAME))
categories = ('Dog', 'Cat')
def classify_images(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
@app.post("/classify")
def classify_image(file: Annotated[bytes, File()]):
img = PILImage.create(file)
img.thumbnail((192, 192))
return classify_images(img)
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