Update app.py

app.py

@@ -1,4 +1,10 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import (
+    CodeAgent,
+    DuckDuckGoSearchTool,
+    HfApiModel,
+    load_tool,
+    tool,
+)
 import datetime
 import requests
 import pytz
@@ -7,67 +13,167 @@ from tools.final_answer import FinalAnswerTool
 
 from Gradio_UI import GradioUI
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
-@tool
-def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
-    #Keep this format for the description / args / args description but feel free to modify the tool
-    """A tool that does nothing yet 
-    Args:
-        arg1: the first argument
-        arg2: the second argument
-    """
-    return "What magic will you build ?"
+
+# ======================================================
+# 🛠️ TOOLS
+# ======================================================
+
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+    """Fetch the current local time in a specified timezone.
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        timezone: Valid timezone like 'Asia/Tokyo', 'Europe/Paris'
     """
     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()
+# ------------------------------------------------------
+
+
+@tool
+def get_bitcoin_price() -> str:
+    """Fetches the current Bitcoin price in USD using CoinGecko public API."""
+    try:
+        url = "https://api.coingecko.com/api/v3/simple/price"
+        params = {"ids": "bitcoin", "vs_currencies": "usd"}
+        r = requests.get(url, params=params, timeout=10)
+        data = r.json()
+        price = data["bitcoin"]["usd"]
+        return f"Bitcoin price right now: ${price:,} USD"
+    except Exception as e:
+        return f"Error fetching Bitcoin price: {e}"
+
+
+# ------------------------------------------------------
+
+
+@tool
+def get_weather_city(city: str) -> str:
+    """Gets current weather for a city using Open-Meteo public API.
+    Args:
+        city: Name of the city like Tokyo, London, Paris
+    """
+    try:
+        geo_url = "https://geocoding-api.open-meteo.com/v1/search"
+        geo = requests.get(geo_url, params={"name": city, "count": 1}).json()
+
+        if "results" not in geo:
+            return f"Could not find coordinates for {city}"
+
+        lat = geo["results"][0]["latitude"]
+        lon = geo["results"][0]["longitude"]
+
+        weather_url = "https://api.open-meteo.com/v1/forecast"
+        weather = requests.get(
+            weather_url,
+            params={
+                "latitude": lat,
+                "longitude": lon,
+                "current_weather": True,
+            },
+        ).json()
+
+        current = weather["current_weather"]
+
+        return (
+            f"Weather in {city}: {current['temperature']}°C, "
+            f"windspeed {current['windspeed']} km/h"
+        )
+
+    except Exception as e:
+        return f"Weather lookup failed: {e}"
 
-# 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' 
+
+# ------------------------------------------------------
+
+
+@tool
+def summarize_neural_networks() -> str:
+    """Fetches and summarizes the history of neural networks from Wikipedia."""
+    try:
+        url = "https://en.wikipedia.org/api/rest_v1/page/summary/Artificial_neural_network"
+        r = requests.get(url, timeout=10)
+        data = r.json()
+
+        extract = data.get("extract", "")
+        return extract[:1500]
+
+    except Exception as e:
+        return f"Failed to fetch history: {e}"
+
+
+# ======================================================
+# 🧠 MODEL + FINAL ANSWER TOOL
+# ======================================================
+
+
+final_answer = FinalAnswerTool()
 
 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,
+    max_tokens=2096,
+    temperature=0.5,
+    model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
+    custom_role_conversions=None,
 )
 
 
-# Import tool from Hub
-image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
+# ======================================================
+# 🌍 LOAD HUB TOOLS
+# ======================================================
 
-with open("prompts.yaml", 'r') as stream:
+
+image_generation_tool = load_tool(
+    "agents-course/text-to-image",
+    trust_remote_code=True,
+)
+
+search_tool = DuckDuckGoSearchTool()
+
+
+# ======================================================
+# 📜 LOAD SYSTEM PROMPT
+# ======================================================
+
+
+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,
         image_generation_tool,
+        search_tool,
     ],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
-    name=None,
-    description=None,
-    prompt_templates=prompt_templates
+    name="MultiSkill-Agent",
+    description="News, crypto, weather, history and timezone assistant",
+    prompt_templates=prompt_templates,
 )
 
 
+# ======================================================
+# 🖥️ UI
+# ======================================================
+
+
 GradioUI(agent).launch()