switch to llama llm 2

app.py

@@ -31,7 +31,7 @@ def dummy():
 
 
 @tool
-def sql_engine_tool(query: str, engine=engine) -> str:
+def sql_engine_tool(query: str, engine: any = engine) -> str:
     """
     Allows you to perform SQL queries on the table. Returns a string representation of the result.
     The table is named 'receipts'. Its description is as follows:
@@ -56,7 +56,7 @@ def init_db():
 
     metadata_obj = MetaData()
 
-    def insert_rows_into_table(rows, table, engine: any = engine):
+    def insert_rows_into_table(rows, table, engine=engine):
         for row in rows:
             stmt = insert(table).values(**row)
             with engine.begin() as connection:
@@ -97,7 +97,7 @@ def init_db():
 if __name__ == "__main__":
     init_db()
     model = HfApiModel(
-        model_id="meta-llama/Meta-Llama-3.1-8B-Instruct",
+        model_id="",
         token=os.getenv("my_first_agents_hf_tokens"),
     )