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from smolagents import CodeAgent, HfApiModel, load_tool, tool |
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from tools.final_answer import FinalAnswerTool |
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from Gradio_UI import GradioUI |
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import requests |
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import yaml |
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@tool |
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def get_weather_paris() -> str: |
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"""Renvoie la météo actuelle à Paris (température + description).""" |
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try: |
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url = "https://api.open-meteo.com/v1/forecast?latitude=48.8566&longitude=2.3522¤t_weather=true" |
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response = requests.get(url).json() |
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weather = response["current_weather"] |
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temperature = weather["temperature"] |
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weather_code = weather["weathercode"] |
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descriptions = { |
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0: "ciel clair", |
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1: "principalement clair", |
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2: "partiellement nuageux", |
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3: "couvert", |
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45: "brouillard", |
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48: "brouillard givrant", |
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51: "bruine légère", |
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53: "bruine", |
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55: "bruine forte", |
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61: "pluie légère", |
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63: "pluie", |
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65: "pluie forte", |
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71: "neige légère", |
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73: "neige", |
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75: "neige forte", |
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} |
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description = descriptions.get(weather_code, "conditions météo inconnues") |
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return f"À Paris, il fait {temperature}°C avec un {description}." |
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except Exception as e: |
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return f"Erreur lors de la récupération de la météo : {str(e)}" |
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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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model = HfApiModel( |
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model_id="Qwen/Qwen2.5-Coder-32B-Instruct", |
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max_tokens=2048, |
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temperature=0.5, |
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) |
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final_answer = FinalAnswerTool() |
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agent = CodeAgent( |
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model=model, |
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tools=[final_answer, get_weather_paris, image_generation_tool], |
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max_steps=6, |
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verbosity_level=1, |
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prompt_templates=prompt_templates |
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) |
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GradioUI(agent).launch() |
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