Update app.py
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app.py
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from smolagents import CodeAgent,
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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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# Below is an example of a tool that does nothing. Amaze us with your creativity !
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@tool
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def
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""
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arg2: the second argument
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"""
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return "What magic will you build ?"
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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Args:
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timezone: A string representing a valid timezone (e.g., 'America/New_York').
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"""
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try:
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except Exception as e:
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return f"Error fetching
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final_answer = FinalAnswerTool()
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model = HfApiModel(
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custom_role_conversions=None,
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)
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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=
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name=None,
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description=None,
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prompt_templates=prompt_templates
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)
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from smolagents import CodeAgent, HfApiModel, tool
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import requests
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import yaml
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# Define a research tool using EXA API
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@tool
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def search_cape_town_weather() -> str:
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"""Searches for the latest weather in Cape Town using EXA search API."""
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api_key = "fe5ee653-7f0d-493c-99ae-8e63d46133d9" # Replace with your free EXA API key
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query = "current weather in Cape Town site:bbc.com OR site:cnn.com OR site:news24.com"
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url = f"https://api.exa.ai/v1/search?q={query}&api_key={api_key}"
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try:
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response = requests.get(url)
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data = response.json()
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if "results" in data and len(data["results"]) > 0:
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top_result = data["results"][0] # Get the first search result
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title = top_result["title"]
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snippet = top_result["snippet"]
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link = top_result["url"]
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return f"Latest Cape Town weather report:\n{title}\n{snippet}\nMore info: {link}"
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else:
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return "No weather updates found. Try again later."
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except Exception as e:
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return f"Error fetching data: {str(e)}"
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# Load model from Hugging Face
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model = HfApiModel(
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model_id='mistralai/Mistral-7B-Instruct', # Change to your preferred model
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max_tokens=200,
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temperature=0.5
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)
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# Load prompt templates
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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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# Define the AI Agent
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agent = CodeAgent(
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model=model,
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tools=[search_cape_town_weather], # Add the EXA search tool
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max_steps=3,
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verbosity_level=1,
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prompt_templates=prompt_templates
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)
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# Test the agent (Optional)
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if __name__ == "__main__":
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print(agent.run("Find the latest weather update for Cape Town."))
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