Update Visualisation/app.py

Visualisation/app.py

@@ -8,11 +8,10 @@ import torch
 app = FastAPI()
 
 table_analyzer = pipeline("table-question-answering", model="google/tapas-base")
-
 user_input_processor = pipeline("text-generation", model="tiiuae/falcon-7b-instruct",torch_dtype=torch.float16)
 
 # ✅ Load T5 Model (ensure correct architecture)
-model_name = "google/t5-small"  # Change to the correct T5 model if needed
+model_name = "google-t5/t5-small"  # Change to the correct T5 model if needed
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSeq2SeqLM.from_pretrained(model_name)