app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import json
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

import json
@tool
def text_to_json(text: str, json_schema: dict) -> str:
    """
    Uses an LLM to transform the information of plain text into structured data using a JSON schema.
    
    Args:
        text (str): The desired text to be transformed into JSON.
        json_schema (dict): The JSON schema that defines the structure of the valid JSON.
    
    Returns:
        str: A valid JSON string.
    
    Example:
        >>> text = "John Doe, 30 years old, lives in New York and works as a software engineer."
        >>> json_schema = {
        ...     "type": "object",
        ...     "properties": {
        ...         "name": {"type": "string"},
        ...         "age": {"type": "integer"},
        ...         "city": {"type": "string"},
        ...         "occupation": {"type": "string"}
        ...     },
        ...     "required": ["name", "age", "city", "occupation"]
        ... }
        >>> result = text_to_json(text, json_schema)
        >>> print(result)
        {'name': 'John Doe', 'age': 30, 'city': 'New York', 'occupation': 'software engineer'}
    """
    model = HfApiModel(
        max_tokens=2096,
        temperature=0.5,
        model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
        custom_role_conversions=None,
    )
    messages = [
        {"role": "system", "content": "You are an assistant that converts text into JSON. Convert the provided text into a JSON object based on the provided schema. JSON_SCHEMA:\n```json " + json.dumps(json_schema) + "```"},
        {"role": "user", "content": text},
    ]
    data = model(messages, response_format={"type": "json_object", "schema": json_schema}).content
    return data


@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """A tool that fetches the current local time in a specified timezone.
    Args:
        timezone: A string representing a valid timezone (e.g., 'America/New_York').
    """
    try:
        # Create timezone object
        tz = pytz.timezone(timezone)
        # Get current time in that timezone
        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
        return f"The current local time in {timezone} is: {local_time}"
    except Exception as e:
        return f"Error fetching time for timezone '{timezone}': {str(e)}"


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='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
custom_role_conversions=None,
)


# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer,text_to_json], ## 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()