Streamlit is not running on chrome i tried different versions of streamlit but still showing error even streamlit hello is not showing output and giving same error im using Python 3.10.0rc2 version of python

import streamlit as st
from PIL import Image
from keras.preprocessing.image import load_img, img_to_array
import numpy as np
from keras.models import load_model
import requests
from bs4 import BeautifulSoup

model = load_model(‘FV.h5’)
labels = {0: ‘apple’, 1: ‘banana’, 2: ‘beetroot’, 3: ‘bell pepper’, 4: ‘cabbage’, 5: ‘capsicum’, 6: ‘carrot’,
7: ‘cauliflower’, 8: ‘chilli pepper’, 9: ‘corn’, 10: ‘cucumber’, 11: ‘eggplant’, 12: ‘garlic’, 13: ‘ginger’,
14: ‘grapes’, 15: ‘jalepeno’, 16: ‘kiwi’, 17: ‘lemon’, 18: ‘lettuce’,
19: ‘mango’, 20: ‘onion’, 21: ‘orange’, 22: ‘paprika’, 23: ‘pear’, 24: ‘peas’, 25: ‘pineapple’,
26: ‘pomegranate’, 27: ‘potato’, 28: ‘raddish’, 29: ‘soy beans’, 30: ‘spinach’, 31: ‘sweetcorn’,
32: ‘sweetpotato’, 33: ‘tomato’, 34: ‘turnip’, 35: ‘watermelon’}

fruits = [‘Apple’, ‘Banana’, ‘Bello Pepper’, ‘Chilli Pepper’, ‘Grapes’, ‘Jalepeno’, ‘Kiwi’, ‘Lemon’, ‘Mango’, ‘Orange’,
‘Paprika’, ‘Pear’, ‘Pineapple’, ‘Pomegranate’, ‘Watermelon’]
vegetables = [‘Beetroot’, ‘Cabbage’, ‘Capsicum’, ‘Carrot’, ‘Cauliflower’, ‘Corn’, ‘Cucumber’, ‘Eggplant’, ‘Ginger’,
‘Lettuce’, ‘Onion’, ‘Peas’, ‘Potato’, ‘Raddish’, ‘Soy Beans’, ‘Spinach’, ‘Sweetcorn’, ‘Sweetpotato’,
‘Tomato’, ‘Turnip’]

def fetch_calories(prediction):
try:
url = 'calories - Google Search in ’ + prediction
req = requests.get(url).text
scrap = BeautifulSoup(req, ‘html.parser’)
calories = scrap.find(“div”, class_=“BNeawe iBp4i AP7Wnd”).text
return calories
except Exception as e:
st.error(“Can’t able to fetch the Calories”)
print(e)

def processed_img(img_path):
img = load_img(img_path, target_size=(224, 224, 3))
img = img_to_array(img)
img = img / 255
img = np.expand_dims(img, [0])
answer = model.predict(img)
y_class = answer.argmax(axis=-1)
print(y_class)
y = " ".join(str(x) for x in y_class)
y = int(y)
res = labels[y]
print(res)
return res.capitalize()

def run():
st.title(“Fruit and Vegetables Calorie Prediction”)
img_file = st.file_uploader(“Choose an Image”, type=[“jpg”, “png”])
if img_file is not None:
img = Image.open(img_file).resize((250, 250))
st.image(img, use_column_width=False)
save_image_path = ‘./upload_images/’ + img_file.name
with open(save_image_path, “wb”) as f:
f.write(img_file.getbuffer())

    # if st.button("Predict"):
    if img_file is not None:
        result = processed_img(save_image_path)
        print(result)
        if result in vegetables:
            st.info('**Category : Vegetables**')
        else:
            st.info('**Category : Fruit**')
        st.success("**Predicted : " + result + '**')
        cal = fetch_calories(result)
        if cal:
            st.warning('**' + cal + '(100 grams)**')

run()
this is my code im running it locally


the error message is shown in above figure
please help me with this