app.py

import os
from dotenv import load_dotenv
import gradio as gr
from sqlalchemy import text
from smolagents import tool, CodeAgent, HfApiModel

# Import the database setup from database.py
from database import engine, receipts

# Load Hugging Face token from environment variables
load_dotenv(override=True)
hf_token = os.getenv("HF_TOKEN")

# SQL Execution function
@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 = ""
    try:
        with engine.connect() as con:
            rows = con.execute(text(query))
            for row in rows:
                output += "\n" + str(row)
    except Exception as e:
        output = f"Error: {str(e)}"
    return output.strip()

# Set up the Hugging Face agent
agent = CodeAgent(
    tools=[sql_engine],
    model=HfApiModel(model_id="Qwen/Qwen2.5-Coder-32B-Instruct", token=hf_token),
)

# Gradio function
def query_sql(user_query):
    return sql_engine(user_query)

# Define Gradio interface
demo = gr.Interface(
    fn=query_sql,
    inputs=gr.Textbox(label="Enter your SQL Query"),
    outputs=gr.Textbox(label="Query Result"),
    title="SQL Query Executor",
    description="Enter SQL queries to interact with an in-memory SQLite database.",
    flagging_mode="never",
)

# Launch the app
if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860, share=True)