create tools.py with some basic tools, and 2 placeholder tools

tools.py

@@ -0,0 +1,171 @@
+import requests
+import json
+from smolagents import InferenceClientModel, tool
+from typing import Any, Dict
+
+
+@tool
+def get_weather(city: str) -> Dict[str, Any]:
+    """
+    Get the weather based on the city name
+    Args:
+        city (str): The name of the city
+    Returns:
+        Dict[str, Any]: The weather information as a dictionary with the following keys:
+            - City: The name of the city
+            - Temperature (°C): The temperature in Celsius
+            - Weather: The weather description
+            - Humidity (%): The humidity percentage
+            - Wind (km/h): The wind speed in kilometers per hour
+            - Feels Like (°C): The temperature that feels like
+            - Min temperature (°C): The minimum temperature
+            - Max temperature (°C): The maximum temperature
+            - Chance of rain: The chance of rain
+            - Chance of snow: The chance of snow
+    """
+
+    try:
+        url = f"https://wttr.in/{city}?format=j1"
+        response = requests.get(url)
+        data = response.json()
+
+        current = data['current_condition'][0]
+        day_weather = data['weather'][0]
+        chance_of_rain = max([int(hour["chanceofrain"])/100 for hour in day_weather['hourly']])
+        chance_of_snow = max([int(hour["chanceofsnow"])/100 for hour in day_weather['hourly']])
+        weather = {
+            "City": city,
+            "Temperature (°C)": current["temp_C"],
+            "Weather": current["weatherDesc"][0]["value"],
+            "Humidity (%)": current["humidity"],
+            "Wind (km/h)": current["windspeedKmph"],
+            "Feels Like (°C)": current["FeelsLikeC"],
+            "Min temperature (°C)": day_weather["mintempC"],
+            "Max temperature (°C)": day_weather["maxtempC"],
+            "Chance of rain": chance_of_rain,
+            "Chance of snow": chance_of_snow,
+        }
+
+        return weather
+
+    except Exception as e:
+        return {"Error": str(e)}
+
+
+@tool
+def get_current_city() -> str:
+    """
+    Get the location based on the IP address
+    Args:
+    Returns:
+        str: the city where the person is currently in based on the IP
+    """
+    try:
+        response = requests.get("https://ipinfo.io/json")
+        data = response.json()
+        return data.get("city")
+
+    except Exception as e:
+        return e
+
+
+@tool
+def infer_event_style_from_text(user_input: str) -> str:
+    """
+    Infers the style of an event based on natural language input using an LLM.
+    Returns one of: casual, formal, beachwear, dress-up, business casual, athletic, outdoor, unspecified.
+
+    Args:
+        user_input: A sentence or phrase describing what the user is doing, e.g., "I'm going to a beach party"
+    Returns:
+        A lowercase string representing the event style. One of:
+        - casual
+        - formal
+        - beachwear
+        - dress-up
+        - business casual
+        - athletic
+        - outdoor
+        - unspecified
+
+    """
+
+    messages = [
+        Message(role= "system",
+            content=
+                "You are an event style classifier. Your job is to take natural language user input "
+                "and respond with exactly one of the following event style labels:\n"
+                "- casual\n- formal\n- beachwear\n- dress-up\n- business casual\n- athletic\n- outdoor\n- unspecified"),
+        Message(role=  "user",
+            content= f"Classify this: {user_input}\nEvent style:")
+    ]
+    model = InferenceClientModel()
+    response = model(messages, stop_sequences=["END"])
+    print(f"Response: {response.content}")
+    return response.content.lower()
+
+
+@tool
+def get_vogue(city: str, season: str) -> str:
+    """
+    Get all the clothes in the wardrobe, together with their colors, and descriptions
+    Args:
+        city (str): The name of the city
+        season (str): The name of the season:
+            - "winter": clothes for winter
+            - "spring": clothes for spring
+            - "summer": clothes for summer
+            - "fall": clothes for fall
+    Returns:
+        str: text of what items are on trend for a given weather and occasion
+    """
+    return """
+    Activity	Clothing	Accessories	Style Tip
+Brunch at a café	Linen shirt or chic blouse, tailored trousers or midi skirt	Crossbody bag, sunglasses	Parisians love neutral tones – try beige, white, navy
+Stroll in Montmartre or along the Seine	Lightweight cotton dress or relaxed-fit jeans + striped top	Comfortable leather flats, beret	A Breton stripe is classic Parisian chic
+Museum visit	Midi dress or smart jumpsuit	Small tote, silk scarf	Keep layers easy to remove (some museums can be warm inside)
+Picnic in a park	Flowy sundress or casual skirt + tee	Straw hat, ballet flats	Bring a light cardigan or blazer in case it gets breezy
+Dinner in a bistro	Elegant blouse + culottes or a wrap dress	Clutch bag, statement earrings	A red lip adds effortless sophistication
+Evening walk by the Eiffel Tower	Tailored trousers + fine knit top or maxi dress	Lightweight trench, flat sandals	Trench coats are timeless and very Parisian
+    """
+
+
+@tool
+def get_wardrobe() -> str:
+    """
+    Get all the clothes in the wardrobe, together with their colors, and descriptions
+    Args:
+    Returns:
+        str: list of all the clothes in the wardrobe
+    """
+    return """
+    | Category        | Item                            | Quantity | Notes                                                 |
+| --------------- | ------------------------------- | -------- | ----------------------------------------------------- |
+| **Tops**        | T-shirts                        | 5–7      | Neutral colors for versatility; cotton or quick-dry   |
+|                 | Polo shirts                     | 2–3      | For smart-casual outings                              |
+|                 | Button-down shirts              | 2–4      | Long or short sleeve; wrinkle-resistant options ideal |
+|                 | Lightweight sweater             | 1–2      | Great for layering                                    |
+|                 | Hoodie or sweatshirt            | 1        | Casual comfort and warmth                             |
+|                 | Jacket (lightweight)            | 1        | Windbreaker or packable jacket depending on climate   |
+|                 | Formal jacket/blazer            | 1        | Optional; for work, dining, or events                 |
+| **Bottoms**     | Jeans or casual trousers        | 1–2      | Dark wash preferred                                   |
+|                 | Chinos or dress pants           | 1        | For dressier occasions                                |
+|                 | Shorts                          | 2–3      | Depends on destination climate                        |
+|                 | Joggers or travel pants         | 1        | Great for flights and comfort                         |
+| **Underwear**   | Underwear                       | 7–10     | Breathable and comfortable                            |
+|                 | Socks                           | 7–10     | Mix of athletic and dress                             |
+| **Sleepwear**   | Pajamas or sleepwear            | 1–2      | Lightweight and compact                               |
+| **Outerwear**   | Rain jacket or shell            | 1        | Waterproof for variable weather                       |
+|                 | Warm jacket/coat                | 1        | Only if traveling to a cold region                    |
+| **Footwear**    | Sneakers or casual shoes        | 1–2      | One for walking, one for style                        |
+|                 | Dress shoes or loafers          | 1        | Optional depending on itinerary                       |
+|                 | Sandals or flip-flops           | 1        | For hot weather or showers                            |
+| **Accessories** | Belt                            | 1–2      | Casual and/or dress                                   |
+|                 | Hat or cap                      | 1        | Sun protection                                        |
+|                 | Scarf/gloves/beanie             | 1 set    | Only for cold destinations                            |
+|                 | Swimwear                        | 1–2      | If beach/pool included                                |
+| **Other**       | Workout clothes                 | 1–2 sets | Moisture-wicking; only if planning to exercise        |
+|                 | Compression socks (for flights) | 1–2      | Recommended for long-haul flights                     |
+|                 | Laundry bag                     | 1        | Helps keep clean/dirty separate                       |
+
+    """