app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
import os  # <--- أضف هذا السطر
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI

@tool
def summarize_text(text: str, max_length: int = 130) -> str:
    """تلخيص النصوص باستخدام نموذج BART من Hugging Face
    Args:
        text: النص الأصلي المراد تلخيصه
        max_length: الحد الأقصى لطول الملخص (افتراضي: 130 كلمة)
    """
    try:
        API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
        headers = {"Authorization": f"Bearer {os.environ['HF_TOKEN']}"}  # <--- تصحيح هنا
        data = {
            "inputs": text,
            "parameters": {"max_length": max_length}
        }
        response = requests.post(API_URL, headers=headers, json=data)
        response.raise_for_status()
        summary = response.json()[0]['summary_text']
        return f"الملخص: {summary}"
    except Exception as e:
        return f"خطأ في التلخيص: {str(e)}"

@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """أداة لجلب الوقت الحالي في منطقة زمنية محددة"""
    try:
        tz = pytz.timezone(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()
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions=None,
)

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,
        DuckDuckGoSearchTool(),
        image_generation_tool,
        summarize_text  # <--- الأداة الجديدة هنا
    ],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()