app.py

# First, ensure the 'transformers' library is installed
try:
    from transformers import pipeline
except ModuleNotFoundError:
    import subprocess
    subprocess.check_call(["pip", "install", "transformers"])
    from transformers import pipeline

# Example: Load a grammar correction pipeline (you can replace this with your preferred task/model)
corrector = pipeline("text2text-generation", model="vennify/t5-base-grammar-correction")

# Sample sentence
sentence = "She don't like going to the gym because it make her tired."

# Run correction
result = corrector(sentence, max_length=100, clean_up_tokenization_spaces=True)
print("Corrected Sentence:", result[0]['generated_text'])