Update app.py

app.py

@@ -1,19 +1,28 @@
 # 🔄 Text Paraphraser | CPU-only HF Space
 
 import gradio as gr
-from transformers import pipeline
+from transformers import (
+    AutoTokenizer,
+    AutoModelForSeq2SeqLM,
+    pipeline,
+)
+
+# 1️⃣ Load model + slow tokenizer explicitly
+MODEL_ID = "Vamsi/T5_Paraphrase_Paws"
+tokenizer = AutoTokenizer.from_pretrained(MODEL_ID, use_fast=False)
+model     = AutoModelForSeq2SeqLM.from_pretrained(MODEL_ID)
 
-# Load the paraphrase pipeline once at startup
+# 2️⃣ Create paraphrase pipeline with our slow tokenizer
 paraphraser = pipeline(
     "text2text-generation",
-    model="Vamsi/T5_Paraphrase_Paws",
+    model=model,
+    tokenizer=tokenizer,
     device=-1,                # CPU
 )
 
 def paraphrase(text: str, num_variations: int):
     if not text.strip():
         return []
-    # T5 paraphrase prompt
     prompt = "paraphrase: " + text.strip()
     outputs = paraphraser(
         prompt,
@@ -23,7 +32,6 @@ def paraphrase(text: str, num_variations: int):
         top_k=120,
         top_p=0.95
     )
-    # Extract generated_text
     return [out["generated_text"].strip() for out in outputs]
 
 with gr.Blocks(title="🔄 Text Paraphraser") as demo: