app.py

from smolagents import (
    CodeAgent,
    HfApiModel,
    load_tool,
    tool,
)

import datetime
import requests
import pytz
import yaml

from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI


# ======================================================
# 🛠️ TOOLS
# ======================================================


@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """Get the current local time in a timezone.

    Args:
        timezone: Timezone string like 'Asia/Tokyo', 'UTC', 'Europe/London'
    """
    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}: {e}"


# ------------------------------------------------------


@tool
def get_bitcoin_price() -> str:
    """Fetch the current Bitcoin price in USD.

    Args:
        None
    """
    try:
        r = requests.get(
            "https://api.coingecko.com/api/v3/simple/price",
            params={"ids": "bitcoin", "vs_currencies": "usd"},
            timeout=10,
        )
        r.raise_for_status()
        return f"Bitcoin price: ${r.json()['bitcoin']['usd']:,} USD"
    except Exception as e:
        return f"Bitcoin fetch failed: {e}"


# ------------------------------------------------------


@tool
def get_weather_city(city: str) -> str:
    """Get current weather for a city.

    Args:
        city: City name like Tokyo, London, Paris
    """
    try:
        geo = requests.get(
            "https://geocoding-api.open-meteo.com/v1/search",
            params={"name": city, "count": 1},
            timeout=10,
        ).json()

        if "results" not in geo:
            return f"City not found: {city}"

        lat = geo["results"][0]["latitude"]
        lon = geo["results"][0]["longitude"]

        weather = requests.get(
            "https://api.open-meteo.com/v1/forecast",
            params={
                "latitude": lat,
                "longitude": lon,
                "current_weather": True,
            },
            timeout=10,
        ).json()

        current = weather["current_weather"]

        return (
            f"Weather in {city}: {current['temperature']}°C, "
            f"wind {current['windspeed']} km/h"
        )

    except Exception as e:
        return f"Weather lookup failed: {e}"


# ------------------------------------------------------


@tool
def summarize_neural_networks() -> str:
    """Summarize history of neural networks.

    Args:
        None
    """
    try:
        r = requests.get(
            "https://en.wikipedia.org/api/rest_v1/page/summary/Artificial_neural_network",
            timeout=10,
        )
        r.raise_for_status()
        return r.json().get("extract", "")[:1500]
    except Exception as e:
        return f"Wikipedia fetch failed: {e}"


# ------------------------------------------------------


@tool
def search_ai_news(_: str = "") -> str:
    """Fetch latest AI news from RSS + HackerNews.

    Args:
        _: Dummy parameter required by tool interface.
    """
    try:
        articles = []

        # RSS feeds
        feeds = [
            "https://venturebeat.com/category/ai/feed/",
            "https://www.technologyreview.com/feed/",
            "https://www.artificialintelligence-news.com/feed/",
        ]

        for url in feeds:
            r = requests.get(url, timeout=10)
            if r.status_code != 200:
                continue

            from xml.etree import ElementTree as ET

            root = ET.fromstring(r.text)

            for item in root.findall(".//item")[:3]:
                title = item.findtext("title")
                link = item.findtext("link")
                if title and link:
                    articles.append(f"- {title} — {link}")

        # Fallback: HackerNews API
        if not articles:
            hn = requests.get(
                "https://hn.algolia.com/api/v1/search_by_date",
                params={"query": "artificial intelligence", "tags": "story"},
                timeout=10,
            ).json()

            for hit in hn.get("hits", [])[:6]:
                articles.append(
                    f"- {hit['title']} — {hit.get('url','https://news.ycombinator.com')}"
                )

        if not articles:
            return "No AI news found today."

        return "\n".join(articles[:10])

    except Exception as e:
        return f"News fetch failed: {e}"


# ======================================================
# 🧠 MODEL
# ======================================================


final_answer = FinalAnswerTool()

model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id="meta-llama/Llama-3.1-8B-Instruct",
)


# ======================================================
# 🌍 IMAGE TOOL
# ======================================================


image_generation_tool = load_tool(
    "agents-course/text-to-image",
    trust_remote_code=True,
)


# ======================================================
# 📜 PROMPTS
# ======================================================


with open("prompts.yaml", "r") as stream:
    prompt_templates = yaml.safe_load(stream)


# ======================================================
# 🤖 AGENT
# ======================================================


agent = CodeAgent(
    model=model,
    tools=[
        final_answer,
        get_current_time_in_timezone,
        get_bitcoin_price,
        get_weather_city,
        summarize_neural_networks,
        search_ai_news,
        image_generation_tool,
    ],
    max_steps=6,
    verbosity_level=1,
    name="MultiSkillAgent",
    description="AI news, crypto, weather, history, timezone and image assistant",
    prompt_templates=prompt_templates,
)


# ======================================================
# 🖥️ UI
# ======================================================


GradioUI(agent).launch()