Update app.py

app.py

@@ -1,16 +1,15 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import datetime
 import requests
 import pytz
 import yaml
+import os
 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_cutom_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
+def my_cutom_tool(arg1: str, arg2: int) -> str:
     """A tool that does nothing yet 
     Args:
         arg1: the first argument
@@ -25,24 +24,137 @@ def get_current_time_in_timezone(timezone: str) -> str:
         timezone: A string representing a valid timezone (e.g., 'America/New_York').
     """
     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)}"
 
+# --- Helper functions for Spotify and environmental data ---
+
+def fetch_spotify_access_token():
+    url = "https://accounts.spotify.com/api/token"
+    headers = {"Content-Type": "application/x-www-form-urlencoded"}
+    data = {
+        "grant_type": "client_credentials",
+        "client_id": os.getenv("SPOTIFY_CLIENT_ID"),
+        "client_secret": os.getenv("SPOTIFY_CLIENT_SECRET")
+    }
+    response = requests.post(url, headers=headers, data=data)
+    return response.json().get("access_token")
+
+def fetch_user_location_data():
+    url = "http://ip-api.com/json/"
+    response = requests.get(url)
+    if response.status_code == 200:
+        data = response.json()
+        return data.get("city"), data.get("country"), data.get("timezone")
+    return None, None, None
+
+def fetch_weather_for_city(city: str):
+    WEATHER_API_KEY = os.getenv("WEATHER_API_KEY")
+    url = f"https://api.openweathermap.org/data/2.5/weather?q={city}&appid={WEATHER_API_KEY}&units=metric"
+    response = requests.get(url)
+    if response.status_code == 200:
+        data = response.json()
+        return data["weather"][0]["main"]
+    return None
+
+def map_mood_to_params(mood: str, weather_condition: str = None) -> dict:
+    # Base mapping of mood words to Spotify's target parameters and seed genre
+    default_mappings = {
+        "happy": {"target_valence": 0.9, "target_energy": 0.8, "seed_genre": "pop"},
+        "sad": {"target_valence": 0.2, "target_energy": 0.3, "seed_genre": "acoustic"},
+        "energetic": {"target_valence": 0.7, "target_energy": 0.9, "seed_genre": "work-out"},
+        "chill": {"target_valence": 0.6, "target_energy": 0.4, "seed_genre": "chill"}
+    }
+    mapping = default_mappings.get(mood.lower(), {"target_valence": 0.5, "target_energy": 0.5, "seed_genre": "pop"})
+    
+    # Adjust parameters based on weather conditions if provided
+    if weather_condition:
+        weather = weather_condition.lower()
+        if weather in ["rain", "thunderstorm"]:
+            mapping["target_energy"] = max(mapping["target_energy"] - 0.2, 0.0)
+        elif weather in ["clear"]:
+            mapping["target_energy"] = min(mapping["target_energy"] + 0.1, 1.0)
+    return mapping
+
+# --- Environmental Tools ---
+
+@tool
+def get_user_location() -> str:
+    """Fetches the user's location using ip-api.com.
+    Returns a string with city, country, and timezone.
+    """
+    city, country, timezone = fetch_user_location_data()
+    if city and country and timezone:
+        return f"City: {city}, Country: {country}, Timezone: {timezone}"
+    return "Error fetching location."
+
+@tool
+def get_weather(city: str) -> str:
+    """Fetches weather data for a given city using OpenWeatherMap API.
+    Args:
+        city: The city name.
+    """
+    weather = fetch_weather_for_city(city)
+    if weather:
+        return f"Current weather in {city} is {weather}."
+    return "Error fetching weather data."
+
+@tool
+def get_songs_by_mood(mood: str, local: bool = False) -> str:
+    """Fetches a playlist of songs that fits the user's mood using Spotify's Recommendations API.
+    
+    Mood is expressed in terms of target_valence and target_energy (energy replaces arousal).
+    The tool internally maps mood words (e.g., 'happy', 'sad', 'energetic', 'chill') to target parameters:
+      - "happy": target_valence ~ 0.9, target_energy ~ 0.8, seed_genre "pop"
+      - "sad": target_valence ~ 0.2, target_energy ~ 0.3, seed_genre "acoustic"
+      - "energetic": target_valence ~ 0.7, target_energy ~ 0.9, seed_genre "work-out"
+      - "chill": target_valence ~ 0.6, target_energy ~ 0.4, seed_genre "chill"
+    
+    If the optional parameter 'local' is True, the tool also fetches the user's location and current weather,
+    and adjusts the mood mapping accordingly (e.g., reducing energy on rainy days).
+    """
+    weather_condition = None
+    if local:
+        city, country, timezone = fetch_user_location_data()
+        if not city:
+            return "Error: Unable to determine user location."
+        weather_condition = fetch_weather_for_city(city)
+    
+    mapping = map_mood_to_params(mood, weather_condition)
+    
+    access_token = fetch_spotify_access_token()
+    if not access_token:
+        return "Error: Unable to retrieve Spotify access token."
+    
+    params = {
+        "seed_genres": mapping["seed_genre"],
+        "target_valence": mapping["target_valence"],
+        "target_energy": mapping["target_energy"],
+        "limit": 10
+    }
+    url = "https://api.spotify.com/v1/recommendations"
+    headers = {"Authorization": f"Bearer {access_token}"}
+    response = requests.get(url, headers=headers, params=params)
+    
+    if response.status_code == 200:
+        tracks = response.json().get("tracks", [])
+        if not tracks:
+            return "No tracks found for the specified mood."
+        playlist = [f"{track['name']} - {track['artists'][0]['name']}" for track in tracks]
+        return "\n".join(playlist)
+    return f"Error: {response.json()}"
 
 final_answer = FinalAnswerTool()
 model = HfApiModel(
-max_tokens=2096,
-temperature=0.5,
-model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',# it is possible that this model may be overloaded
-custom_role_conversions=None,
+    max_tokens=2096,
+    temperature=0.5,
+    model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',
+    custom_role_conversions=None,
 )
 
-
 # Import tool from Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
@@ -51,7 +163,14 @@ with open("prompts.yaml", 'r') as stream:
     
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[
+        final_answer,
+        my_cutom_tool,
+        get_current_time_in_timezone,
+        get_user_location,
+        get_weather,
+        get_songs_by_mood
+    ],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -61,5 +180,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
 GradioUI(agent).launch()