Update app.py

app.py

@@ -40,12 +40,13 @@ from transformers import AutoTokenizer
 
 app = FastAPI()
 
-@app.get("/")
+#@app.get("/")
 # Load dataset and tokenizer
 billsum = load_dataset("billsum", split="ca_test")  # Load a small sample
 tokenizer = AutoTokenizer.from_pretrained("t5-small")
 prefix = "summarize: "  # Example prefix for text generation
 
+@app.get("/")
 def preprocess_function(examples):
     inputs = [prefix + doc for doc in examples["text"]]
     model_inputs = tokenizer(inputs, max_length=1024, truncation=True)