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import os
import subprocess
import sys
import requests
def download_model(url, save_path):
# Send a GET request to the URL
response = requests.get(url, stream=True)
# Check if the request was successful (status code 200)
if response.status_code == 200:
# Open a file in binary write mode to save the downloaded content
with open(save_path, 'wb') as f:
# Iterate over the response content in chunks and write to the file
for chunk in response.iter_content(chunk_size=1024):
f.write(chunk)
print("Model downloaded successfully!")
else:
# Print an error message if the request was not successful
print(f"Failed to download model. Status code: {response.status_code}")
def set_tokenizers_parallelism(value):
"""Set the TOKENIZERS_PARALLELISM environment variable."""
os.environ['TOKENIZERS_PARALLELISM'] = 'true' if value else 'false'
print(f"TOKENIZERS_PARALLELISM set to {os.environ['TOKENIZERS_PARALLELISM']}")
def install_requirements():
"""Install packages listed in requirements.txt"""
try:
subprocess.check_call([sys.executable, "-m", "pip", "install", "-r", "requirements.txt"])
print("All packages from requirements.txt installed successfully.")
except subprocess.CalledProcessError as e:
print(f"Failed to install packages from requirements.txt: {e}")
sys.exit(1)
def install_spacy_model(model_name):
"""Install a specific spaCy model"""
try:
subprocess.check_call([sys.executable, "-m", "spacy", "download", model_name])
print(f"spaCy model '{model_name}' installed successfully.")
except subprocess.CalledProcessError as e:
print(f"Failed to install spaCy model '{model_name}': {e}")
sys.exit(1)
if __name__ == "__main__":
install_requirements()
install_spacy_model("de_core_news_lg")
install_spacy_model("fr_core_news_lg")
install_spacy_model("it_core_news_lg")
set_tokenizers_parallelism(True)
download_model('https://dl.fbaipublicfiles.com/fasttext/supervised-models/lid.176.bin', 'lid.176.bin')
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