modifiquei a estrutura

app.py

@@ -1,12 +1,14 @@
 import streamlit as st
-from transformers import pipeline
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
 
 # Substitua 'seu-nome-de-usuário/nome-do-modelo' pelo caminho correto do seu modelo no Hugging Face Hub
 MODEL_NAME = "exo-is/t5-small-60M-esg-keyword"
 
 @st.cache_resource
 def load_model():
-    return pipeline('text-generation', model=MODEL_NAME)
+    tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, use_fast=False)
+    model = AutoModelForCausalLM.from_pretrained(MODEL_NAME)
+    return pipeline('text-generation', model=model, tokenizer=tokenizer)
 
 st.title('Gerador de Texto')
 

requirements.txt

@@ -1,3 +1,4 @@
 streamlit==1.25.0
-transformers==4.30.2
-torch==2.0.1
+transformers==4.33.2
+torch==2.0.1
+tokenizers==0.13.3