app.py

from flask import Flask, request
from transformers import GPT2Tokenizer, GPT2LMHeadModel

app = Flask(__name__)

# Load the GPT-2 model and tokenizer
tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
model = GPT2LMHeadModel.from_pretrained('gpt2')

@app.route('/paraphrase', methods=['POST'])
def paraphrase():
    # Get the input text from the request
    input_text = request.form.get('input_text')

    # Encode the input text using the tokenizer
    input_ids = tokenizer.encode(input_text, return_tensors='pt')

    # Generate the paraphrased text using the model
    output = model.generate(input_ids, max_length=1024, top_k=5, top_p=0.95, num_return_sequences=1)
    output_text = tokenizer.decode(output[0], skip_special_tokens=True)

    # Return the paraphrased text
    return output_text

if __name__ == '__main__':
    app.run()