Upload app.py

app.py

@@ -3,7 +3,6 @@ os.environ["TF_ENABLE_ONEDNN_OPTS"] = "0"
 import streamlit as st
 from pathlib import Path
 import torch, json, csv, warnings
-from transformers import T5Tokenizer, T5ForConditionalGeneration
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 from pathlib import Path
@@ -48,9 +47,6 @@ def guardar_interaccion_dual(pregunta, respuesta, tipo, user_id):
         }
         f_jsonl.write(json.dumps(registro, ensure_ascii=False) + "\n")
         
-# ✅ Corrige la ruta correctamente desde Scripts hacia Models
-def get_model_path(folder_name):
-    return Path("Models") / folder_name
 
 # Función para cargar modelos
 @st.cache_resource