fix load image

app.py

@@ -1,6 +1,5 @@
 import streamlit as st
 import torch
-import cv2
 import numpy as np
 from PIL import Image
 from transformers import pipeline, OwlViTProcessor, OwlViTForObjectDetection
@@ -42,10 +41,9 @@ if uploaded_image_zero_file is not None:
     with NamedTemporaryFile() as temp:
         temp.write(uploaded_image_zero_file.getvalue())
         temp.seek(0)
-        file_bytes = np.asarray(bytearray(uploaded_image_zero_file.read()), dtype=np.uint8)
-        opencv_image = cv2.imdecode(file_bytes, 1)
-        st.image(opencv_image, channels="BGR")
-        image = Image.open(temp.name)
+        image = Image.open(uploaded_image_zero_file)
+        outputImage = np.array(image)
+        st.image(outputImage)
         inputs = processor(text=texts, images=image, return_tensors="pt")
         outputs = model(**inputs)
         target_sizes = torch.Tensor([image.size[::-1]])