Create app.py

app.py

@@ -0,0 +1,26 @@
+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()