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September 24, 2024 08:48
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# Refer to https://deeplx.owo.network/integration/python.html | |
# Write by GPT-4o mini 👨💻, scillidan 🤡 | |
# Install | |
# git clone --depth=1 https://github.com/PrithivirajDamodaran/Gramformer | |
# python -m venv venv | |
# venv\Scripts\activate.bat | |
# pip install torch --index-url https://download.pytorch.org/whl/cu121 | |
# pip install -e . | |
# python -m spacy download en | |
# How to use | |
# python this.py "<write>" | |
import sys | |
import warnings | |
from gramformer import Gramformer | |
import torch | |
warnings.filterwarnings("ignore", category=FutureWarning) | |
def set_seed(seed): | |
torch.manual_seed(seed) | |
if torch.cuda.is_available(): | |
torch.cuda.manual_seed_all(seed) | |
def main(input_sentence): | |
set_seed(1212) | |
gf = Gramformer(models=1, use_gpu=torch.cuda.is_available()) # 1=corrector, 2=detector | |
corrected_sentences = gf.correct(input_sentence, max_candidates=1) | |
print("x ", input_sentence) | |
if corrected_sentences: | |
for corrected_sentence in corrected_sentences: | |
print("v ", corrected_sentence) | |
else: | |
print("No corrections found.") | |
print("Device:", "cuda" if torch.cuda.is_available() else "cpu") | |
if __name__ == "__main__": | |
if len(sys.argv) != 2: | |
print("Usage: python cli.py <input>") | |
sys.exit(1) | |
input_sentence = sys.argv[1] | |
main(input_sentence) |
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