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add tools to find a velib
Browse filesThe different tools can find the Vélib station and then obtain the number of Vélib available.
app.py
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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import datetime
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import requests
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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#
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"""
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return "What magic will you build ?"
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def
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@tool
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def
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"""A tool that fetches the
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Args:
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"""
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# Get current time in that timezone
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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return f"The current local time in {timezone} is: {local_time}"
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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#
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct'
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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agent = CodeAgent(
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model=model,
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tools=[final_answer],
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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import datetime
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import requests
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from geopy.distance import geodesic # Pour le calcul des distances
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from Gradio_UI import GradioUI
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# Fonction pour obtenir les coordonnées GPS d'une adresse
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def geocode_address(address):
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response = requests.get(f"https://api-adresse.data.gouv.fr/search/?q={address}")
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data = response.json()
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if not data['features']:
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return None, None
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coordinates = data['features'][0]['geometry']['coordinates']
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return coordinates[1], coordinates[0] # Retourne latitude, longitude
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# Fonction pour récupérer toutes les stations Vélib'
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def get_stations():
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response = requests.get("https://velib-metropole-opendata.smovengo.cloud/opendata/Velib_Metropole/station_information.json")
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data = response.json()
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return data['data']['stations']
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# Trouver la station Vélib' la plus proche d'une adresse donnée
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def find_nearest_station(address):
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user_lat, user_lon = geocode_address(address)
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if user_lat is None or user_lon is None:
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return None
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stations = get_stations()
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min_distance = float('inf')
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nearest_station = None
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for station in stations:
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station_coords = (station['lat'], station['lon'])
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distance = geodesic((user_lat, user_lon), station_coords).meters
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if distance < min_distance:
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min_distance = distance
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nearest_station = station
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return nearest_station
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# Fonction pour récupérer le statut d'une station
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def get_station_status(station_id):
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response = requests.get("https://velib-metropole-opendata.smovengo.cloud/opendata/Velib_Metropole/station_status.json")
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data = response.json()
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for station in data['data']['stations']:
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if station['station_id'] == station_id:
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return station
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return None
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# Outil final qui donne le nombre de vélos disponibles à une adresse donnée
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@tool
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def get_bike_availability(address: str) -> str:
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"""A tool that fetches the number of available Velib' bikes at the nearest station to a given address.
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Args:
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address: The address where the user wants to find a Velib' station.
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"""
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nearest_station = find_nearest_station(address)
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if not nearest_station:
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return "Aucune station Vélib' trouvée à proximité."
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status = get_station_status(nearest_station['station_id'])
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if not status:
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return "Impossible de récupérer le statut de la station."
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mechanical_bikes = status['num_bikes_available_types'][0].get('mechanical', 0)
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ebikes = status['num_bikes_available_types'][1].get('ebike', 0)
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return (f"🚲 Station la plus proche : {nearest_station['name']}\n"
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f"🔧 Vélos mécaniques disponibles : {mechanical_bikes}\n"
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f"⚡ Vélos électriques disponibles : {ebikes}")
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# Ajout du tool à l'agent
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final_answer = FinalAnswerTool()
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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agent = CodeAgent(
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model=model,
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tools=[final_answer, get_bike_availability], # Ajout du nouvel outil ici
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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