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Update agent.py
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agent.py
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from
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# define GAIA specific system prompt
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GAIA_SYSTEM_PROMPT = """You are a general AI assistant. I will ask you a question.
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Report your thoughts, and finish your answer with your final response.
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Your final answer should be a number OR as few words as possible OR a comma separated list of numbers and/or strings.
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If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise.
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If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise.
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If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.
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Return ONLY the final answer as the output of your last step."""
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# model
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model = InferenceClientModel(
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model_id="Qwen/Qwen2.5-Coder-1.5B-Instruct"
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# Initialize agent
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agent = CodeAgent(
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model=model,
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tools=
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)
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# run function
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"""
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This function is used to run the agent. Function is called in app.py
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"""
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full_query = f"{GAIA_SYSTEM_PROMPT}\n\nQuestion:{question}"
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result = agent.run(full_query)
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return str(result).strip()
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import yaml
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from smolagents import CodeAgent, InferenceClientModel, final_answer
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from tools import search_tool, visit_webpage, handle_file
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# model
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model = InferenceClientModel(
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model_id="Qwen/Qwen2.5-Coder-1.5B-Instruct"
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)
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# load the prompt template from 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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# Initialize agent
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agent = CodeAgent(
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model=model,
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tools=[search_tool, visit_webpage, handle_file],
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max_steps-12,
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verbosity_level=1,
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additional_authorized_imports=["pandas", "numpy", "re", "math"],
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prompt_templates=prompt_templates
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)
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# run function
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"""
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This function is used to run the agent. Function is called in app.py
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"""
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result = agent.run(full_query)
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return str(result).strip()
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