Getting [WinError 5] Access is denied error while using browser-use agent in python

Question

I am using a test script given in browser-use examples, but currently I am getting following error from browser-use agent: '[WinError 5] Access is denied'. My code looks like this:

import csv
import os
import re
import sys
from pathlib import Path

from PyPDF2 import PdfReader

from browser_use.browser.browser import Browser, BrowserConfig

sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import asyncio
from typing import List, Optional

from dotenv import load_dotenv
from langchain_google_genai import ChatGoogleGenerativeAI
from pydantic import BaseModel, SecretStr

from browser_use import ActionResult, Agent, Controller
from browser_use.browser.context import BrowserContext

load_dotenv()
import logging

logger = logging.getLogger(__name__)
# full screen mode
controller = Controller()
CV = Path.cwd() / 'AbhayBhardwajResumeV1.pdf'


class Job(BaseModel):
    title: str
    link: str
    company: str
    fit_score: float
    location: Optional[str] = None
    salary: Optional[str] = None


@controller.action(
    'Save jobs to file - with a score how well it fits to my profile', param_model=Job
)
def save_jobs(job: Job):
    with open('jobs.csv', 'a', newline='') as f:
        writer = csv.writer(f)
        writer.writerow([job.title, job.company, job.link, job.salary, job.location])

    return 'Saved job to file'


@controller.action('Read jobs from file')
def read_jobs():
    with open('jobs.csv', 'r') as f:
        return f.read()


@controller.action('Read my cv for context to fill forms')
def read_cv():
    pdf = PdfReader(CV)
    text = ''
    for page in pdf.pages:
        text += page.extract_text() or ''
    logger.info(f'Read cv with {len(text)} characters')
    return ActionResult(extracted_content=text, include_in_memory=True)


@controller.action(
    'Upload cv to element - call this function to upload if element is not found, try with different index of the same upload element',
    requires_browser=True,
)
async def upload_cv(index: int, browser: BrowserContext):
    path = str(CV.absolute())
    dom_el = await browser.get_dom_element_by_index(index)

    if dom_el is None:
        return ActionResult(error=f'No element found at index {index}')

    file_upload_dom_el = dom_el.get_file_upload_element()

    if file_upload_dom_el is None:
        logger.info(f'No file upload element found at index {index}')
        return ActionResult(error=f'No file upload element found at index {index}')

    file_upload_el = await browser.get_locate_element(file_upload_dom_el)

    if file_upload_el is None:
        logger.info(f'No file upload element found at index {index}')
        return ActionResult(error=f'No file upload element found at index {index}')

    try:
        await file_upload_el.set_input_files(path)
        msg = f'Successfully uploaded file to index {index}'
        logger.info(msg)
        return ActionResult(extracted_content=msg)
    except Exception as e:
        logger.debug(f'Error in set_input_files: {str(e)}')
        return ActionResult(error=f'Failed to upload file to index {index}')


browser = Browser(
    config=BrowserConfig(
        chrome_instance_path='C:\\Program Files (x86)\\Google\\Chrome\\Application',
        disable_security=True
    )
)


async def main():
    # ground_task = (
    #   'You are a professional job finder. '
    #   '1. Read my cv with read_cv'
    #   '2. Read the saved jobs file '
    #   '3. start applying to the first link of Amazon '
    #   'You can navigate through pages e.g. by scrolling '
    #   'Make sure to be on the english version of the page'
    # )
    ground_task = (
        'You are a professional job finder. '
        '1. Read my cv with read_cv'
        'find ml internships in and save them to a file'
        'search at company:'
    )
    tasks = [
        ground_task + '\n' + 'Google',
        # ground_task + '\n' + 'Amazon',
        # ground_task + '\n' + 'Apple',
        # ground_task + '\n' + 'Microsoft',
        # ground_task
        # + '\n'
        # + 'go to https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Taiwan%2C-Remote/Fulfillment-Analyst---New-College-Graduate-2025_JR1988949/apply/autofillWithResume?workerSubType=0c40f6bd1d8f10adf6dae42e46d44a17&workerSubType=ab40a98049581037a3ada55b087049b7 NVIDIA',
        # ground_task + '\n' + 'Meta',
    ]
    model = ChatGoogleGenerativeAI(
    model="gemini-1.5-pro",
    api_key="AIzaSyDD_j88wnUiW90o-pTld0hoAGTiMhTafQY"
)

    agents = []
    for task in tasks:
        agent = Agent(task=task, llm=model, controller=controller, browser=browser)
        agents.append(agent)

    await asyncio.gather(*[agent.run() for agent in agents])


if __name__ == '__main__':
    asyncio.run(main())

And I am getting error output like:

INFO     [browser_use] BrowserUse logging setup complete with level info
INFO     [root] Anonymized telemetry enabled. See https://github.com/gregpr07/browser-use for more information.
INFO     [agent] 🚀 Starting task: You are a professional job finder. 1. Read my cv with read_cvfind ml internships in and save them to a filesearch at company:
Google
INFO     [agent]
📍 Step 1
WARNING  [browser] Page load failed, continuing...
ERROR    [agent] ❌ Result failed 1/3 times:
 [WinError 5] Access is denied
INFO     [agent]
📍 Step 1
WARNING  [browser] Page load failed, continuing...
ERROR    [agent] ❌ Result failed 2/3 times:
 [WinError 5] Access is denied
INFO     [agent]
📍 Step 1
WARNING  [browser] Page load failed, continuing...
ERROR    [agent] ❌ Result failed 3/3 times:
 [WinError 5] Access is denied
ERROR    [agent] ❌ Stopping due to 3 consecutive failures
WARNING  [agent] No history to create GIF from

Please help in finding what's the issue here?

I was expecting, the browser would open and do te task I passed it in the task variable