Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+model_name = "ramsrigouthamg/t5_paraphraser"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+def paraphrase_text(text):
+    input_text = "paraphrase: " + text + " </s>"
+    encoding = tokenizer.encode_plus(
+        input_text, padding="max_length", return_tensors="pt", max_length=256, truncation=True
+    )
+    outputs = model.generate(
+        input_ids=encoding["input_ids"],
+        attention_mask=encoding["attention_mask"],
+        max_length=256,
+        num_return_sequences=1,
+        temperature=1.5,
+    )
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+demo = gr.Interface(fn=paraphrase_text, inputs="text", outputs="text", title="Free Paraphraser")
+demo.launch()