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@app.post("/predict/")
async def predict(file:UploadFile = File(...)):
    bytes_str = io.BytesIO(await file.read())
    img = Image.open(bytes_str)
    img_array = np.array(img.convert('RGB'))
    img_array = cv2.resize(img_array, (1024,1024))
    img_final = np.expand_dims(img_array, axis = 0)
    pred = model.predict(img_final)

This code returns a NumPy array and I need to return it on FastAPI on an endpoint, but what could be the strategy?

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Try a simple pred.tolist() to return a normal list that fastapi understands.

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