Error Message can’t get the text itself, because the cmd window closes instantly

I’ve seen two other solutions to this problem where I should use either:
pyinstaller -F --collect-all pyfiglet python.py
or
pyinstaller --add-data "venvLibsite-packagespyfiglet;./pyfiglet" python.py

In the first one everything compiles fine but when I open the .exe it gives me the same error and the second one doesn’t even compile giving me this error:

743 INFO: PyInstaller: 6.6.0, contrib hooks: 2024.5
743 INFO: Python: 3.10.11
772 INFO: Platform: Windows-10-10.0.22631-SP0
774 INFO: wrote C:UsersmaaikOneDriveРабочий столupwork projectssalary scrapersalary_scraper.spec
794 INFO: Extending PYTHONPATH with paths
['C:\Users\maaik\OneDrive\Рабочий стол\upwork projects\salary scraper']
1411 INFO: Appending 'datas' from .spec
Unable to find 'C:\Users\maaik\OneDrive\Рабочий стол\upwork projects\salary scraper\venv\Lib\site-packages\pyfiglet' when adding binary and data files. 

I suppose it has something to do with my venv, maybe I installed something wrong or something, but in any case here’s my venv screenshot as well:
venv

import re
import csv
import json
import requests
from time import sleep
from bs4 import BeautifulSoup
from pyfiglet import Figlet, figlet_format
import os


def extract_salary_info(job_title, job_city):

    template = 'https://www.salary.com/research/salary/alternate/{}-salary/{}'
 
    # build the url based on search criteria
    url = template.format(job_title.lower().replace(' ', '-'), job_city.lower().replace(' ', '-'))

    # request the raw html .. check for valid request
    try:
        response = requests.get(url)
        if response.status_code != 200:
            return None
    except requests.exceptions.ConnectionError:
        return None
   
    # parse the html and extract json data
    soup = BeautifulSoup(response.text, 'html.parser')
    pattern = re.compile(r'Occupation')
    script = soup.find('script', {'type': 'application/ld+json'}, string=pattern)
    json_raw = script.contents[0]
    json_data = json.loads(json_raw)

    # extract salary data
    job_title = json_data['name']
    location = json_data['occupationLocation'][0]['name']
    description = json_data['description']

    ntile_10 = json_data['estimatedSalary'][0]['percentile10']
    ntile_25 = json_data['estimatedSalary'][0]['percentile25']
    ntile_50 = json_data['estimatedSalary'][0]['median']
    ntile_75 = json_data['estimatedSalary'][0]['percentile75']
    ntile_90 = json_data['estimatedSalary'][0]['percentile90']

    data = (job_title, location, description, ntile_10, ntile_25, ntile_50, ntile_75, ntile_90)
    return data


def main():
    """Extract salary data from top us cities"""
    salary_data = []

    os.system(f"mode con: cols={150} lines={100}")
    f = figlet_format("Salary Scraper", font="slant", justify='center', width=150)
    print(f)

    specific_or_all = int(input('nnnnnnnWould you like to know a salary for a specific city (1) or all largest cities in the US (2): '))

    if specific_or_all == 1:
        city = input('City name: ')
        job_title = input('Job name: ')
        salary_data = extract_salary_info(job_title, city)
        print('Scraping...') 

        print('saving to csv...')
        with open('salary-results.csv', 'w', newline='', encoding='utf-8') as f:
            writer = csv.writer(f)
            writer.writerow(['Title','Location', 'Description', 'nTile10', 'nTile25', 'nTile50', 'nTile75', 'nTile90'])
            writer.writerow(salary_data)
        return

    elif specific_or_all == 2:
        job_title = input('Job name: ')
        print('Scraping...')  

        # get the list of largest us cities  
        with open('largest_cities.csv', newline='') as f:
            reader = csv.reader(f)
            # a reader typically returns each row as a list... so I need to flatten the list to make a single list
            cities = [city for row in reader for city in row]

        # extract salary data for each city
        for city in cities:
            result = extract_salary_info(job_title, city)
            if result:
                salary_data.append(result)
                print(f'scraped for {city}')
                sleep(0.5)
            print('saving data to csv') 
        # save data to csv file

        with open('salary-results.csv', 'w', newline='', encoding='utf-8') as f:
            writer = csv.writer(f)
            writer.writerow(['Title','Location', 'Description', 'nTile10', 'nTile25', 'nTile50', 'nTile75', 'nTile90'])
            writer.writerows(salary_data)
        return

if __name__ == '__main__':
    main()

here’s the code I’m trying to run. Thanks in advance:)