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Update app.py
Browse files
app.py
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@@ -36,6 +36,36 @@ 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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generate_recipe = RecipeGeneratorTool()
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@@ -60,7 +90,7 @@ with open("prompts.yaml", 'r') as stream:
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agent = CodeAgent(
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model=model,
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tools=[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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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 recommend_diet_brunch(diet_type: str) -> str:
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"""A tool that recommends a brunch based on the type of diet.
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Args:
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diet_type: A description of the type of diet (e.g., vegan, keto, etc.).
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Returns:
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A string with a brunch recommendation.
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"""
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# Normalize input to lowercase for matching.
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diet_type_lower = diet_type.lower()
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# Map diet types to brunch suggestions.
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diet_to_brunch = {
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"vegan": "Tofu scramble with avocado toast, fruit salad, and a green smoothie.",
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"keto": "Avocado and egg breakfast bowl with bacon and spinach.",
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"vegetarian": "Vegetable frittata with a side of roasted potatoes and fresh fruit.",
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"paleo": "Grilled chicken with roasted sweet potatoes, sautéed spinach, and avocado.",
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"gluten-free": "Gluten-free pancakes with berries and almond butter.",
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"low-carb": "Egg muffins with spinach, cheese, and bacon, served with a side of avocado.",
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"intermittent fasting": "A light salad with lean protein like grilled chicken, nuts, and avocado.",
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"mediterranean": "Greek yogurt with honey, walnuts, and a side of olives and cucumber."
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}
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# Default to a vegetarian brunch if diet type is unknown.
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recommended_brunch = diet_to_brunch.get(diet_type_lower, "Vegetable frittata with a side of roasted potatoes and fresh fruit.")
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return f"Based on your diet type ('{diet_type}'), I recommend this brunch: {recommended_brunch}"
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final_answer = FinalAnswerTool()
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generate_recipe = RecipeGeneratorTool()
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agent = CodeAgent(
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model=model,
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tools=[final_answer, recommend_diet_brunch], ## 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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