Open premkhumar opened 2 months ago
If you'd like to explore an alternative approach for paraphrasing text without relying on OpenAI's API, you can use the transformers
library by Hugging Face. This library provides access to a variety of pre-trained language models that can perform tasks like text paraphrasing.
Ensure you have the transformers
and torch
libraries installed. You can install them using pip if you haven't already:
pip install transformers torch
Here's a sample Python program that uses a T5 model from Hugging Face to rephrase a paragraph:
from transformers import T5ForConditionalGeneration, T5Tokenizer
# Load pre-trained model and tokenizer
model_name = "t5-base"
model = T5ForConditionalGeneration.from_pretrained(model_name)
tokenizer = T5Tokenizer.from_pretrained(model_name)
# Function to rephrase a paragraph
def rephrase_paragraph(paragraph):
# Preprocess the input text
input_text = f"paraphrase: {paragraph} </s>"
encoding = tokenizer.encode_plus(input_text, max_length=512, pad_to_max_length=True, return_tensors="pt")
# Generate paraphrase
input_ids = encoding['input_ids']
attention_mask = encoding['attention_mask']
outputs = model.generate(input_ids=input_ids, attention_mask=attention_mask, max_length=512, num_beams=5, early_stopping=True)
# Decode the output text
rephrased_paragraph = tokenizer.decode(outputs[0], skip_special_tokens=True)
return rephrased_paragraph
# Example usage
paragraph = """
The quick brown fox jumps over the lazy dog. This phrase is commonly used to demonstrate font rendering and keyboard layouts because it contains every letter of the English alphabet. The sentence is easy to understand and widely recognized.
"""
rephrased = rephrase_paragraph(paragraph)
print("Original Paragraph:\n", paragraph)
print("\nRephrased Paragraph:\n", rephrased)
transformers
and torch
libraries are installed.transformers
library.rephrase_paragraph
function takes a paragraph as input, preprocesses it for the T5 model, generates a paraphrase, and decodes the output text.Save the script to a Python file and then run the script. The output will display the original and rephrased paragraphs.
t5-base
) is used for paraphrasing, but you can explore other models like t5-small
or t5-large
depending on your requirements and computational resources.max_length
and num_beams
parameters based on your specific needs and the complexity of the input text.
import openai
Function to rephrase a paragraph
def rephrase_paragraph(paragraph, api_key): openai.api_key = api_key
Example usage
api_key = "your_openai_api_key_here" # Replace with your actual OpenAI API key paragraph = """ The quick brown fox jumps over the lazy dog. This phrase is commonly used to demonstrate font rendering and keyboard layouts because it contains every letter of the English alphabet. The sentence is easy to understand and widely recognized. """
rephrased = rephrase_paragraph(paragraph, api_key) print("Original Paragraph:\n", paragraph) print("\nRephrased Paragraph:\n", rephrased)