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Create download_missing_booknlp_models.py
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download_missing_booknlp_models.py
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import os
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import requests
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import zipfile
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from pathlib import Path
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from tqdm import tqdm
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def download_and_extract():
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url = "https://huggingface.co/drewThomasson/Booknlp_models_Backup/resolve/main/booknlp_models.zip?download=true"
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file_name = "booknlp_models.zip"
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home_dir = str(Path.home())
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zip_path = os.path.join(home_dir, file_name)
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models_folder = os.path.join(home_dir, "booknlp_models")
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print("Downloading the missing booknlp files...")
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response = requests.get(url, stream=True)
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total_size = int(response.headers.get('content-length', 0))
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with open(zip_path, 'wb') as file, tqdm(
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desc=file_name,
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total=total_size,
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unit='iB',
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unit_scale=True,
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unit_divisor=1024,
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) as progress_bar:
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for data in response.iter_content(chunk_size=1024):
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size = file.write(data)
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progress_bar.update(size)
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print("Extracting required files...")
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with zipfile.ZipFile(zip_path, 'r') as zip_ref:
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for file in zip_ref.namelist():
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if file.startswith('booknlp_models/') and file.split('/')[-1] in required_files:
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zip_ref.extract(file, home_dir)
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print("Deleting the zip file...")
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os.remove(zip_path)
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print("Process completed successfully!")
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# List of required files
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required_files = [
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"coref_google_bert_uncased_L-12_H-768_A-12-v1.0.model",
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"speaker_google_bert_uncased_L-12_H-768_A-12-v1.0.1.model",
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"entities_google_bert_uncased_L-6_H-768_A-12-v1.0.model"
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]
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# Get the user's home directory
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home_dir = str(Path.home())
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models_folder = os.path.join(home_dir, "booknlp_models")
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# Check if the folder exists, if not create it
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if not os.path.exists(models_folder):
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os.makedirs(models_folder)
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# Check for missing files
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missing_files = [file for file in required_files if not os.path.exists(os.path.join(models_folder, file))]
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if missing_files:
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print(f"The following files are missing: {', '.join(missing_files)}")
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print("Downloading and extracting required files...")
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download_and_extract()
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else:
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print("All required booknlp files are present. No action needed.")
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