meteo

app.py

@@ -1,66 +1,94 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
-import datetime
-import requests
-import pytz
-import yaml
+from smolagents import CodeAgent, InferenceClientModel, 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 ?"
+import requests
+import yaml
 
+# ----------------------------
+# 1️⃣ OUTIL : MÉTÉO À PARIS
+# ----------------------------
 @tool
-def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
-    Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+def get_weather_paris() -> str:
+    """Renvoie la météo actuelle à Paris (température + description).
+    Aucun argument nécessaire.
     """
+
     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)}"
+        # API gratuite de Open-Meteo (pas besoin de clé)
+        url = "https://api.open-meteo.com/v1/forecast?latitude=48.8566&longitude=2.3522&current_weather=true"
+        response = requests.get(url).json()
 
+        weather = response["current_weather"]
+        temperature = weather["temperature"]
+        windspeed = weather["windspeed"]
+        weather_code = weather["weathercode"]
 
-final_answer = FinalAnswerTool()
+        # Description simple selon le code météo
+        descriptions = {
+            0: "ciel clair",
+            1: "principalement clair",
+            2: "partiellement nuageux",
+            3: "couvert",
+            45: "brouillard",
+            48: "brouillard givrant",
+            51: "bruine légère",
+            53: "bruine",
+            55: "bruine forte",
+            61: "pluie légère",
+            63: "pluie",
+            65: "pluie forte",
+            71: "neige légère",
+            73: "neige",
+            75: "neige forte",
+        }
 
-# 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' 
+        description = descriptions.get(weather_code, "conditions météo inconnues")
 
-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,
-)
+        return f"À Paris, il fait {temperature}°C avec un {description}."
+
+    except Exception as e:
+        return f"Erreur lors de la récupération de la météo : {str(e)}"
 
 
-# Import tool from Hub
+# ---------------------------------------------------
+# 2️⃣ OUTIL : GÉNÉRATION D’IMAGE À PARTIR D’UN TEXTE
+# ---------------------------------------------------
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
-with open("prompts.yaml", 'r') as stream:
+
+# ---------------------------------
+# 3️⃣ CHARGEMENT DU PROMPT SYSTÈME
+# ---------------------------------
+with open("prompts.yaml", "r") as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
+
+# -------------------------
+# 4️⃣ MODÈLE UTILISÉ
+# -------------------------
+model = InferenceClientModel(
+    max_tokens=2048,
+    temperature=0.5,
+    model_id="Qwen/Qwen2.5-Coder-32B-Instruct"
+)
+
+
+# -------------------------
+# 5️⃣ CRÉATION DE L’AGENT
+# -------------------------
+final_answer = FinalAnswerTool()
+
 agent = CodeAgent(
     model=model,
-    tools=[final_answer, get_current_time_in_timezone, my_custom_tool, image_generation_tool],
+    tools=[final_answer, get_weather_paris, image_generation_tool],
     max_steps=6,
     verbosity_level=1,
     prompt_templates=prompt_templates
 )
 
 
-
-GradioUI(agent).launch()
+# -------------------------
+# 6️⃣ LANCEMENT DE GRADIO
+# -------------------------
+GradioUI(agent).launch()