Update app.py

app.py

@@ -4,6 +4,7 @@ from transformers import pipeline
 
 # Load the anomalies data
 df = pd.read_csv('anomalies.csv', sep=',', decimal='.')
+df = df.applymap(str)  # Converte todas as células para strings
 
 # Function to generate a response
 def response(question):
@@ -12,7 +13,7 @@ def response(question):
         raise TypeError(f"Esperado uma string para a pergunta, mas recebeu {type(question)}")
         
     tqa = pipeline(task="table-question-answering", model="google/tapas-large-finetuned-wtq")
-    final_rresposta = tqa(table=df, query=question)['cells'][0]
+    final_response = tqa(table=df, query=question)['cells'][0]
     return final_response
 
 # Streamlit interface