foundationagents--openmanus
Kaeyoung
31 行
1.0 KiB
Python
31 行
1.0 KiB
Python
import asyncio
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from app.agent.ppt import PPTAgent
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from app.logger import logger
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async def main():
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agent = PPTAgent()
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try:
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prompt = """
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1. Lecture slide:
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I am a lecturer. I am teaching the machine learning coure for research students. Please generate latex code for lecture slide for different reinforcement learning algorithms.
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Note that:
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1). Note that the lecture duration is 2 hour, so we need to generate 30 pages.
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2). for each reinforcement learning algorithms, the slide should include motivation, problem and intuitive solution and detailed math equations.
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3). Please make sure the the lecture have a good self-contain.
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"""
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if not prompt.strip():
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logger.warning("Empty prompt provided.")
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return
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logger.warning("Processing your request...")
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await agent.run(prompt)
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logger.info("Request processing completed.")
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except KeyboardInterrupt:
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logger.warning("Operation interrupted.")
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if __name__ == "__main__":
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asyncio.run(main())
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