Update app.py

app.py

@@ -38,7 +38,8 @@ model.to(device)
 def generate_text(prompt):
     # Prevent gradient calculation to speed up inference
     with torch.no_grad():
-        inputs = tokenizer(f"<|STARTOFTEXT|> <|USER|> {prompt} <|BOT|>", return_tensors="pt").to(device)
+        # inputs = tokenizer(f"<|STARTOFTEXT|> <|USER|> {prompt} <|BOT|>", return_tensors="pt").to(device)
+        inputs = tokenizer(f"{prompt}", return_tensors="pt").to(device)
         outputs = model.generate(inputs['input_ids'], max_length=100, num_return_sequences=1, do_sample=False)
         generated_text = tokenizer.decode(outputs[0], skip_special_tokens=False)
         result2 = generated_text.split("<|ENDOFTEXT|>")