Create app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
+
+# Load PEGASUS model
+model_name = "tuner007/pegasus_paraphrase"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+# Initialize pipeline
+paraphrase_pipeline = pipeline("text2text-generation", model=model, tokenizer=tokenizer, truncation=True)
+
+# Paraphrase function
+def paraphrase_text(text):
+    sentences = text.split(". ")  # Simple sentence split
+    paraphrased_sentences = [paraphrase_pipeline(sentence, max_length=60, do_sample=False)[0]['generated_text'] for sentence in sentences]
+    return " ".join(paraphrased_sentences)
+
+# Gradio interface
+demo = gr.Interface(fn=paraphrase_text, inputs="text", outputs="text", title="Text Paraphraser")
+
+# Launch app
+demo.launch()