AttributeError:模块“numpy”没有属性“object”。安装升级版本的numpy和tensorflow后未解决

import tensorflow as tf
from tensorflow.keras.models import load_model
from fastapi import FastAPI, File, UploadFile
from io import BytesIO
from PIL import Image
import numpy as np
import uvicorn

app = FastAPI()

MODEL = load_model("../models/1")
CLASS_NAMES = ["Early Blight", "Late Blight", "Healthy"]

@app.get("/ping")
async def ping():
    return "Hello, I am alive"

def read_file_as_image(data) -> np.ndarray:
    image = np.array(Image.open(BytesIO(data)))
    return image

@app.post("/predict")
async def predict(file: UploadFile = File(...)):
    image = read_file_as_image(await file.read())
    image_batch = np.expand_dims(image, axis=0)
    predictions = MODEL.predict(image_batch)
    predicted_class = CLASS_NAMES[np.argmax(predictions[0])]
    confidence = np.max(predictions[0])
    return {
        'class': predicted_class,
        'confidence': float(confidence)
    }

if __name__ == "__main__":
    uvicorn.run(app, host='localhost', port=8000)

AttributeError: module 'numpy' has no attribute 'object'.
`np.object` was a deprecated alias for the builtin `object`. To avoid this error in existing code, use `object` by itself. Doing this will not modify any behavior and is safe. 
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

我升级到了的最新版本 numpy 和 tensorflow ,但问题依然存在。

如何解决此问题?