Update app.py

app.py

@@ -16,7 +16,7 @@ load_dotenv()
 UPLOAD_DIR = "uploaded_data"
 os.makedirs(UPLOAD_DIR, exist_ok=True)
 
-DEFAULT_CSV_PATH = "anomalia_vendas.csv"
+DEFAULT_CSV_PATH = "tabela.csv"
 UPLOADED_CSV_PATH = os.path.join(UPLOAD_DIR, "tabela.csv")
 SQL_DB_PATH = "data.db"
 
@@ -64,7 +64,7 @@ def create_engine_and_load_db(csv_path, sql_db_path):
     logging.info(f"[ENGINE] Criando engine com CSV: {csv_path}")
     engine = create_engine(f"sqlite:///{sql_db_path}")
     df = pd.read_csv(csv_path, sep=";", on_bad_lines="skip")
-    df.to_sql("anomalia_vendas", engine, index=False, if_exists="replace")
+    df.to_sql("tabela", engine, index=False, if_exists="replace")
     logging.info(f"[ENGINE] Banco criado com sucesso com {len(df)} linhas e {len(df.columns)} colunas")
     return engine
 
@@ -153,7 +153,7 @@ def query_sql_agent(user_query, selected_model_name):
             query_cache[user_query] = greeting_response 
             return greeting_response
 
-        column_data = pd.read_sql_query("SELECT * FROM anomalia_vendas LIMIT 10", engine)
+        column_data = pd.read_sql_query("SELECT * FROM tabela LIMIT 10", engine)
         llama_instruction = query_with_llama(user_query, column_data, selected_model_name)
         
         if not llama_instruction: