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Update app.py
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app.py
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@@ -22,25 +22,11 @@ model = LiteLLMModel(
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temperature=0.2,
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api_key=os.environ["API_KEY"]
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)
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#model = InferenceClientModel("deepseek-ai/DeepSeek-R1",max_tokens=500, token=HF_TOKEN)
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#headers = {
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# "Authorization": f"Bearer {HF_TOKEN}"
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#}
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# Initialize the weather tool
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evaluate_consumption = evaluate_consumption()
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evaluate_consumption_example = evaluate_consumption_example()
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FrugalAI_methods=FrugalAI_methods()
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modified_prompt = (
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"\nYou are an AI agent that receives Python code from a manager. "
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"Your task is to test its resource consumption using a custom tool. "
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"Then, propose frugal alternatives, such as pruning, using your dedicated tool — always use it. "
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"Additionally, feel free to search the internet for frugal methods and present them to the manager. "
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"Examples include Knowledge Distillation, Transfer Learning, and others."
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)
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# Create agent with all the tools
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fruggy = CodeAgent(
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tools=[evaluate_consumption, evaluate_consumption_example, FrugalAI_methods],
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temperature=0.2,
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api_key=os.environ["API_KEY"]
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)
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evaluate_consumption = evaluate_consumption()
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evaluate_consumption_example = evaluate_consumption_example()
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FrugalAI_methods=FrugalAI_methods()
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# Create agent with all the tools
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fruggy = CodeAgent(
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tools=[evaluate_consumption, evaluate_consumption_example, FrugalAI_methods],
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