import gradio as gr from huggingface_hub import InferenceClient import os from smolagents import tool, CodeAgent, HfApiModel, GradioUI @tool def sql_engine(query: str) -> 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: Columns: - receipt_id: INTEGER - customer_name: VARCHAR(16) - price: FLOAT - tip: FLOAT Args: query: The query to perform. This should be correct SQL. """ output = "" with engine.connect() as con: rows = con.execute(text(query)) for row in rows: output += "\n" + str(row) return output def init_db(): from sqlalchemy import ( create_engine, MetaData, Table, Column, String, Integer, Float, insert, inspect, text, ) engine = create_engine("sqlite:///:memory:") metadata_obj = MetaData() def insert_rows_into_table(rows, table, engine=engine): for row in rows: stmt = insert(table).values(**row) with engine.begin() as connection: connection.execute(stmt) table_name = "receipts" receipts = Table( table_name, metadata_obj, Column("receipt_id", Integer, primary_key=True), Column("customer_name", String(16), primary_key=True), Column("price", Float), Column("tip", Float), ) metadata_obj.create_all(engine) rows = [ {"receipt_id": 1, "customer_name": "Alan Payne", "price": 12.06, "tip": 1.20}, {"receipt_id": 2, "customer_name": "Alex Mason", "price": 23.86, "tip": 0.24}, { "receipt_id": 3, "customer_name": "Woodrow Wilson", "price": 53.43, "tip": 5.43, }, { "receipt_id": 4, "customer_name": "Margaret James", "price": 21.11, "tip": 1.00, }, ] insert_rows_into_table(rows, receipts) if __name__ == "__main__": agent = CodeAgent( tools=[sql_engine], model=HfApiModel( model_id="meta-llama/Meta-Llama-3.1-8B-Instruct", token=os.getenv("my_first_agents_hf_tokens"), ), ) GradioUI(agent).launch()