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Update app.py
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app.py
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from smolagents import CodeAgent,DuckDuckGoSearchTool,
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import datetime
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import requests
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import pytz
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from Gradio_UI import GradioUI
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#
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@tool
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def
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"""
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Args:
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latitude: float value of latitute 49.4310
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longitude: float value of longitude 18.4843
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"""
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api_url = f"https://api.open-meteo.com/v1/forecast?latitude={latitude}&longitude={longitude}¤t_weather=true"
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response = requests.get(api_url)
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if response.status_code == 200:
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data = response.json()
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return data.get("current_weather", "No weather information available")
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else:
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return "Error: Unable to fetch weather data."
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@tool
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def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
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#Keep this format for the description / args / args description but feel free to modify the tool
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"""A tool that does nothing yet
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Args:
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"""
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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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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final_answer = FinalAnswerTool()
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#
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
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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=[
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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, InferenceClientModel, 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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from Gradio_UI import GradioUI
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# Weather search tool using DuckDuckGo
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@tool
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def get_weather_info(city: str) -> str:
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"""Searches for current weather information for a given city using DuckDuckGo.
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Args:
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city: Name of the city to get weather information for (e.g., 'Warsaw', 'New York')
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Returns:
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A string containing weather information for the specified city
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"""
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try:
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# Initialize DuckDuckGo search tool
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search_tool = DuckDuckGoSearchTool()
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# Create weather-specific search query
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search_query = f"current weather {city} temperature conditions forecast"
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# Perform search
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search_results = search_tool(search_query)
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# Extract weather information from results
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if search_results and len(search_results) > 0:
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# Combine relevant snippets
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weather_info = f"Weather information for {city}:\n"
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for i, result in enumerate(search_results[:3]): # Take top 3 results
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if 'snippet' in result:
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weather_info += f"\n{i+1}. {result['snippet']}"
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return weather_info
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else:
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return f"Could not find weather information for {city}. Please check the city name and try again."
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except Exception as e:
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return f"Error searching for weather in {city}: {str(e)}"
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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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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# Initialize tools
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final_answer = FinalAnswerTool()
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# Initialize model
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model = InferenceClientModel(
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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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# Load system prompt from prompt.yaml file
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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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# Create agent with all tools including weather search
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agent = CodeAgent(
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model=model,
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tools=[get_weather_info, get_current_time_in_timezone, image_generation_tool, 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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# Launch Gradio UI
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GradioUI(agent).launch()
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