Spaces:
Sleeping
Sleeping
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
import datetime | |
import requests | |
import pytz | |
import yaml | |
from tools.final_answer import FinalAnswerTool | |
from Gradio_UI import GradioUI | |
import sqlite3 | |
from datetime import datetime | |
# Connect to SQLite database. It will be created if it doesn't exist | |
conn = sqlite3.connect('employee_database.db') | |
cursor = conn.cursor() | |
# Create employees table with basic columns | |
cursor.execute(''' | |
CREATE TABLE IF NOT EXISTS employees ( | |
id INTEGER PRIMARY KEY AUTOINCREMENT, | |
first_name TEXT NOT NULL, | |
last_name TEXT NOT NULL, | |
job_title TEXT NOT NULL | |
) | |
''') | |
# Commit the transaction | |
conn.commit() | |
# Sample data for employees | |
employees_data = [ | |
('John', 'Smith', 'Software Engineer'), | |
('Sarah', 'Johnson', 'Marketing Manager'), | |
('Michael', 'Brown', 'Data Scientist'), | |
('Emma', 'Wilson', 'Product Designer'), | |
('William', 'Davis', 'DevOps Engineer'), | |
('Olivia', 'Miller', 'UX Researcher'), | |
('James', 'Wilson', 'Backend Developer'), | |
('Jessica', 'Moore', 'Project Manager'), | |
('Robert', 'Taylor', 'Frontend Developer'), | |
('Lisa', 'Anderson', 'Quality Assurance'), | |
('Richard', 'Thomas', 'Technical Writer'), | |
('Amy', 'Jackson', 'Business Analyst'), | |
('Charles', 'White', 'Database Administrator'), | |
('Elizabeth', 'Harris', 'Customer Support'), | |
('Thomas', 'Martin', 'Network Engineer'), | |
('Jennifer', 'Thompson', 'HR Specialist'), | |
('Donald', 'Walker', 'Security Specialist'), | |
('Margaret', 'Young', 'Content Manager'), | |
('Ronald', 'Allen', 'Sales Representative'), | |
('Susan', 'Scott', 'Financial Analyst') | |
] | |
# Insert multiple records efficiently using executemany | |
cursor.executemany(''' | |
INSERT INTO employees (first_name, last_name, job_title) | |
VALUES (?, ?, ?) | |
''', employees_data) | |
# Commit the transaction | |
conn.commit() | |
# Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
def get_employee_job_title(first_name:str, last_name:str)-> str: #it's import to specify the return type | |
"""A tool that allows to do a sqlite sql query based on first_name and last_name | |
Args: | |
first_name: the first argument | |
last_name: the second argument | |
""" | |
conn = sqlite3.connect('employee_database.db') | |
cursor = conn.cursor() | |
cursor.execute(f"SELECT job_title FROM employees WHERE first_name='{first_name}' AND last_name='{last_name}'") | |
rows = cursor.fetchall() | |
if len(rows) > 1: | |
return "Many employees with that name" | |
elif len(rows) == 0: | |
return "No employee with that name" | |
else: | |
row = rows[0][0] | |
return row | |
final_answer = FinalAnswerTool() | |
# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder: | |
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' | |
model = HfApiModel( | |
max_tokens=2096, | |
temperature=0.5, | |
model_id="https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud/", | |
custom_role_conversions=None, | |
) | |
with open("prompts.yaml", 'r') as stream: | |
prompt_templates = yaml.safe_load(stream) | |
agent = CodeAgent( | |
model=model, | |
tools=[final_answer, get_employee_job_title], ## add your tools here (don't remove final answer) | |
max_steps=6, | |
verbosity_level=1, | |
grammar=None, | |
planning_interval=None, | |
name=None, | |
description=None, | |
prompt_templates=prompt_templates | |
) | |
GradioUI(agent).launch() |