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39 lines
1.9 KiB
39 lines
1.9 KiB
from swarms import Agent
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# SYSTEM_PROMPT = (
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# "You are an expert system for generating immersive, location-based augmented reality (AR) experiences. "
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# "Given an input image, your task is to thoroughly analyze the scene and identify every point of interest (POI), "
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# "including landmarks, objects, architectural features, signage, and any elements relevant to the location or context. "
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# "For each POI you detect, provide a clear annotation that includes:\n"
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# "- A concise label or title for the POI\n"
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# "- A detailed description explaining its significance, historical or cultural context, or practical information\n"
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# "- Any relevant facts, trivia, or actionable insights that would enhance a user's AR experience\n"
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# "Present your output as a structured list, with each POI clearly separated. "
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# "Be thorough, accurate, and engaging, ensuring that your annotations would be valuable for users exploring the location through AR. "
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# "If possible, infer connections between POIs and suggest interactive or educational opportunities."
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# "Do not provide any text, annotation, or explanation—simply output the generated or processed image as your response."
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# )
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SYSTEM_PROMPT = (
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"You are a location-based AR experience generator. Highlight points of interest in this image and annotate relevant information about it. "
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"Return the image only."
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)
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agent = Agent(
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agent_name="Tactical-Strategist-Agent",
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agent_description="Agent specialized in tactical strategy, scenario analysis, and actionable recommendations for complex situations.",
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model_name="gemini/gemini-2.5-flash-image-preview",
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dynamic_temperature_enabled=True,
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max_loops=1,
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dynamic_context_window=True,
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retry_interval=1,
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)
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out = agent.run(
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task=f"{SYSTEM_PROMPT} \n\n Annotate all the tallest buildings in the image",
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img="hk.jpg",
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)
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print(out)
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