Update app.py

app.py

@@ -33,6 +33,12 @@ html_content = f"""
 # Aplicar o markdown combinado no Streamlit
 st.markdown(html_content, unsafe_allow_html=True)
 
+# Inicialização de variáveis de estado
+if 'all_anomalies' not in st.session_state:
+    st.session_state['all_anomalies'] = pd.DataFrame()
+if 'history' not in st.session_state:
+    st.session_state['history'] = []
+
 # Carregar os modelos de tradução e TAPEX
 pt_en_translator = T5ForConditionalGeneration.from_pretrained("unicamp-dl/translation-pt-en-t5")
 en_pt_translator = T5ForConditionalGeneration.from_pretrained("unicamp-dl/translation-en-pt-t5")
@@ -68,7 +74,7 @@ def preprocess_data(df):
 def apply_prophet(df):
     # Implementar o modelo Prophet aqui
     return df
-
+    
 # Interface para carregar arquivo
 uploaded_file = st.file_uploader("Carregue um arquivo CSV ou XLSX", type=['csv', 'xlsx'])
 if uploaded_file and 'all_anomalies' not in st.session_state: