My first agent

app.py

@@ -1,61 +1,87 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
-import datetime
+import os
+import urllib.request
+import zipfile
+from pathlib import Path
+import pandas as pd
 import requests
-import pytz
 import yaml
-from tools.final_answer import FinalAnswerTool
 
+from smolagents import CodeAgent, HfApiModel, load_tool, tool
+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 ?"
+def download_and_unzip(download_folder) -> pd.DataFrame:
+    os.makedirs(download_folder, exist_ok=True)
+    csv_path = Path(download_folder) / "worldcities.csv"
+    if csv_path.exists():
+        return pd.read_csv(csv_path, index_col=False)
+    zip_filename = "simplemaps_worldcities_basicv1.77.zip"
+    zip_filepath = os.path.join(download_folder, zip_filename)
+    if not os.path.exists(zip_filepath):
+        url = "https://simplemaps.com/static/data/world-cities/basic/simplemaps_worldcities_basicv1.77.zip"
+        urllib.request.urlretrieve(url, zip_filepath)
+    with zipfile.ZipFile(zip_filepath, 'r') as zip_ref:
+        zip_ref.extractall(download_folder)
+    return pd.read_csv(csv_path, index_col=False)
 
 @tool
-def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+def get_weather_for_city(city: str, country: str) -> str:
+    """Searches for the city in the world cities dataset, obtains its coordinates,
+    and fetches current weather from the Open-Meteo API.
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        city: Name of the city (case insensitive, matches 'city_ascii' in the CSV).
+        country: Name of the country (case insensitive).
+    Returns:
+        A string containing the city's coordinates and current weather details.
     """
+    df = download_and_unzip("downloads")
+    matches = df[(df['city_ascii'].str.lower() == city.lower()) & (df['country'].str.lower() == country.lower())]
+    if matches.empty:
+        return f"No location found for {city}, {country}."
+    
+    row = matches.iloc[0]
+    lat = float(row['lat'])
+    lng = float(row['lng'])
+    
+    url = "https://api.open-meteo.com/v1/forecast"
+    params = {
+        "latitude": lat,
+        "longitude": lng,
+        "current_weather": "true"
+    }
+    
     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}"
+        response = requests.get(url, params=params, timeout=10)
+        if response.status_code != 200:
+            return f"Error fetching weather data: {response.status_code}."
+        data = response.json()
+        if "current_weather" not in data:
+            return "Weather data not available."
+        current = data["current_weather"]
+        temperature = current.get("temperature")
+        windspeed = current.get("windspeed")
+        winddirection = current.get("winddirection")
+        time_str = current.get("time")
+        return (f"Current weather in {row['city_ascii']}, {row['country']} (lat: {lat}, lng: {lng}):\n"
+                f"Temperature: {temperature}°C, Wind Speed: {windspeed} km/h, Wind Direction: {winddirection}° at {time_str}.")
     except Exception as e:
-        return f"Error fetching time for timezone '{timezone}': {str(e)}"
-
+        return f"An error occurred while fetching weather data: {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,
+    max_tokens=2096,
+    temperature=0.4,
+    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)
-
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, get_weather_for_city],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -65,5 +91,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
-GradioUI(agent).launch()
+GradioUI(agent).launch()