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Update app.py
Browse filesThe template now includes my additional tools with their respective functionalities. /Michael Cid
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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# 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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Args:
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arg2: the second argument
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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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# 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:
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# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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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=[
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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 Gradio_UI import GradioUI
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@tool
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def weather_forecaster(location: str, date: str) -> str:
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"""
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Provides the weather forecast for a specific location and date.
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Args:
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location: The city or region for which the weather forecast is needed.
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date: The date for which the weather forecast is needed (format: YYYY-MM-DD).
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"""
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# Implementation would involve calling a weather API to get the forecast.
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return f"The weather in {location} on {date} will be..."
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@tool
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def language_translator(text: str, target_language: str) -> str:
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"""
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Translates a given text into the specified target language.
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Args:
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text: The text to be translated.
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target_language: The language code (e.g., 'es' for Spanish) to translate the text into.
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"""
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# Implementation would involve using a translation API to convert the text.
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return f"Translated text: {text} in {target_language}..."
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@tool
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def stock_price_checker(stock_symbol: str) -> str:
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"""
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Retrieves the current stock price for a given stock symbol.
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Args:
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stock_symbol: The stock symbol (e.g., 'AAPL' for Apple Inc.).
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"""
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# Implementation would involve calling a financial API to get the stock price.
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return f"The current price of {stock_symbol} is..."
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@tool
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def news_headlines(topic: str, num_articles: int) -> str:
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"""
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Fetches the latest news headlines for a specific topic.
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Args:
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topic: The topic for which news headlines are needed.
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num_articles: The number of articles to retrieve.
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"""
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# Implementation would involve calling a news API to get the headlines.
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return f"Top {num_articles} headlines for {topic}..."
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@tool
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def recipe_finder(ingredients: list) -> str:
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"""
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Finds recipes based on the provided list of ingredients.
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Args:
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ingredients: A list of ingredients to use in the recipe.
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"""
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# Implementation would involve searching a recipe database or API.
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return f"Recipes using {', '.join(ingredients)}..."
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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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@tool
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def get_latest_tech_news(topic: str, max_results: int = 5) -> str:
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"""Fetches recent news headlines or articles about a specific technology topic. Useful for staying updated on AI, Linux, IT trends, etc.
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Args:
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topic: The specific area of technology to search for (e.g., 'Artificial Intelligence', 'Ubuntu LTS', 'Prompt Engineering breakthroughs').
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max_results: The maximum number of news items to return (default is 5).
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"""
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search_query = f"{topic} site:https://www.futuretools.io/"
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search_results = web_search({"query": search_query})
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news_items = []
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for result in search_results[:max_results]:
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news_items.append(result['title'])
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return "\n".join(news_items)
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final_answer = FinalAnswerTool()
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# 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:
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# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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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', # 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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final_answer,
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weather_forecaster,
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language_translator,
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stock_price_checker,
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news_headlines,
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recipe_finder,
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get_current_time_in_timezone,
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get_latest_tech_news
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], # Add your tools here (don't remove 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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