app.py

import gradio as gr
from huggingface_hub import InferenceClient
import os
from smolagents import tool, CodeAgent, HfApiModel, GradioUI
from sqlalchemy import (
    create_engine,
    MetaData,
    Table,
    Column,
    String,
    Integer,
    Float,
    insert,
    inspect,
    text,
)
import spaces

from dotenv import load_dotenv

engine = create_engine("sqlite:///:memory:")
load_dotenv()

# What is the average each customer paid? Create a sql statement and invoke your sql_engine tool


@spaces.GPU
def dummy():
    pass


@tool
def sql_engine_tool(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():

    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)
    with engine.begin() as conn:
        print("SELECT test", conn.execute("SELECT * FROM receipts"))


if __name__ == "__main__":
    init_db()
    model = HfApiModel(
        model_id="HuggingFaceH4/zephyr-7b-beta",
        token=os.getenv("my_first_agents_hf_tokens"),
    )

    agent = CodeAgent(
        tools=[sql_engine_tool],
        #         system_prompt="""
        # You are a text to sql converter
        # """,
        model=model,
        max_steps=7,
        verbosity_level=3,
    )
    GradioUI(agent).launch()