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import os
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from dotenv import load_dotenv
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from swarm_models import Gemini
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from swarms.prompts.visual_cot import VISUAL_CHAIN_OF_THOUGHT
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# Load the environment variables
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load_dotenv()
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# Get the API key from the environment
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api_key = os.environ.get("GEMINI_API_KEY")
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# Initialize the language model
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llm = Gemini(
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gemini_api_key=api_key,
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temperature=0.5,
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max_tokens=1000,
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system_prompt=VISUAL_CHAIN_OF_THOUGHT,
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)
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# Initialize the task
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task = "This is an eye test. What do you see?"
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img = "examples/demos/multi_modal_chain_of_thought/eyetest.jpg"
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# Run the workflow on a task
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out = llm.run(task=task, img=img)
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print(out)
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