Нужна помощь в доработке парсера резюме на базе Python — pyresparser

Ошибка такая:  
ValueError: [E993] The config for the nlp object needs to include a key `lang` specifying the code of the language to initialize it with (for example 'en' for English) – this can't be None.

import os
import csv
import spacy
import en_core_web_sm
from pyresparser import ResumeParser
from pyresparser import utils
from tqdm import tqdm

nlp = spacy.load("en_core_web_sm")

def parse_resumes(resume_folder, output_csv):
    total_files = len([filename for filename in os.listdir(resume_folder) if filename.endswith((".docx", ".pdf"))])
    processed_files = 0

    with open(output_csv, mode='w', newline='', encoding='utf-8') as csvfile:
        fieldnames = ['Name', 'Email', 'Phone', 'State']
        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
        writer.writeheader()

        # Process each resume in the folder using tqdm to show the progress bar
        for filename in tqdm(os.listdir(resume_folder), desc="Processing resumes", unit="file"):
            if filename.endswith((".docx", ".pdf")):
                file_path = os.path.join(resume_folder, filename)

                # Parse the resume using pyresparser
                data = ResumeParser(file_path, skills_file=None, custom_regex=None).get_extracted_data()

                # Get the relevant information
                name = data.get('name', '')
                email = data.get('email', '')
                phone = data.get('mobile_number', '')
                state = ''  # We don't get the state from pyresparser

                # Get the language of the resume
                language = langid.classify(text)[0]

                # Get the confidence score of the language detection
                confidence = langid.classify(text)[1]

                # Only process the resume if it is in English
                if language == "en" and confidence > 0.9:
                    writer.writerow({'Name': name, 'Email': email, 'Phone': phone, 'State': state})

                processed_files += 1

                # Update the progress bar
                progress = (processed_files / total_files) * 100
                tqdm.write(f"Progress: [{int(progress)}%] {'=' * int(progress // 5)} – {filename}")

    print("\nProcessing completed!")

if __name__ == "__main__":
    resume_folder = "resumes"
    output_csv = "resume_info.csv"
    parse_resumes(resume_folder, output_csv)