Implement heuristic cutting on the accessibility tree to get the important nodes; Finish accessibility tree text agent
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@@ -111,17 +111,17 @@ def run_one_example(example, agent, max_steps=10, example_trajectory_dir="exp_tr
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if __name__ == "__main__":
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action_space = "pyautogui"
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example_class = "chrome"
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example_id = "bb5e4c0d-f964-439c-97b6-bdb9747de3f4"
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example_id = "06fe7178-4491-4589-810f-2e2bc9502122"
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with open(f"evaluation_examples/examples/{example_class}/{example_id}.json", "r") as f:
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example = json.load(f)
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example["snapshot"] = "exp_setup2"
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example["snapshot"] = "exp_setup4"
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# api_key = os.environ.get("OPENAI_API_KEY")
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# agent = GPT4v_Agent(api_key=api_key, instruction=example['instruction'], action_space=action_space)
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api_key = os.environ.get("OPENAI_API_KEY")
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agent = GPT4_Agent(api_key=api_key, instruction=example['instruction'], action_space=action_space)
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api_key = os.environ.get("GENAI_API_KEY")
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agent = GeminiPro_Agent(api_key=api_key, instruction=example['instruction'], action_space=action_space)
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# api_key = os.environ.get("GENAI_API_KEY")
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# agent = GeminiPro_Agent(api_key=api_key, instruction=example['instruction'], action_space=action_space)
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root_trajectory_dir = "exp_trajectory"
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