Update app.py

app.py

@@ -48,15 +48,15 @@ def generate_paraphrase(text: str, style: str = "standard", num_variations: int
         }.get(style, {"temperature": 1.0, "top_k": 50})
         
         # Tokenize the input text
-        inputs = tokenizer(text, truncation=True, padding=True, return_tensors="pt").to(device)
+        inputs = tokenizer(text, truncation=False, padding='longest', return_tensors="pt").to(device)
         
         # Generate paraphrases
         with torch.no_grad():
             outputs = model.generate(
                 **inputs,
-                max_length=200,
+                max_length=10000,
                 num_return_sequences=num_variations,
-                num_beams=num_variations * 2,
+                num_beams=10,
                 temperature=params["temperature"],
                 top_k=params["top_k"],
                 do_sample=True,