import datetime import json import logging import os import sys # import eventlet import func_timeout from func_timeout import FunctionTimedOut from desktop_env.envs.desktop_env import DesktopEnv from mm_agents.gpt_4v_agent import GPT4v_Agent # eventlet.monkey_patch() # from mm_agents.gemini_pro_agent import GeminiPro_Agent # Logger Configs {{{ # logger = logging.getLogger() logger.setLevel(logging.DEBUG) datetime_str: str = datetime.datetime.now().strftime("%Y%m%d@%H%M%S") file_handler = logging.FileHandler(os.path.join("logs", "normal-{:}.log".format(datetime_str)), encoding="utf-8") debug_handler = logging.FileHandler(os.path.join("logs", "debug-{:}.log".format(datetime_str)), encoding="utf-8") stdout_handler = logging.StreamHandler(sys.stdout) sdebug_handler = logging.FileHandler(os.path.join("logs", "sdebug-{:}.log".format(datetime_str)), encoding="utf-8") file_handler.setLevel(logging.INFO) debug_handler.setLevel(logging.DEBUG) stdout_handler.setLevel(logging.INFO) sdebug_handler.setLevel(logging.DEBUG) formatter = logging.Formatter( fmt="\x1b[1;33m[%(asctime)s \x1b[31m%(levelname)s \x1b[32m%(module)s/%(lineno)d-%(processName)s\x1b[1;33m] \x1b[0m%(message)s") file_handler.setFormatter(formatter) debug_handler.setFormatter(formatter) stdout_handler.setFormatter(formatter) sdebug_handler.setFormatter(formatter) stdout_handler.addFilter(logging.Filter("desktopenv")) sdebug_handler.addFilter(logging.Filter("desktopenv")) logger.addHandler(file_handler) logger.addHandler(debug_handler) logger.addHandler(stdout_handler) logger.addHandler(sdebug_handler) # }}} Logger Configs # logger = logging.getLogger("desktopenv.experiment") PATH_TO_VM = r"C:\Users\tianbaox\Documents\Virtual Machines\Ubuntu\Ubuntu.vmx" def run_one_example(example, agent, max_steps=10, example_trajectory_dir="exp_trajectory", recording=True, max_time=600): trajectory_recording_path = os.path.join(example_trajectory_dir, "trajectory.json") env = DesktopEnv( path_to_vm=PATH_TO_VM, action_space=agent.action_space, task_config=example, headless=True ) # reset the environment to certain snapshot observation = env.reset() done = False step_num = 0 if recording: # send a request to the server to start recording env.controller.start_recording() while not done and step_num < max_steps: actions = agent.predict(observation) step_num += 1 for action in actions: # Capture the timestamp before executing the action action_timestamp = datetime.datetime.now().strftime("%Y%m%d@%H%M%S") logger.info("Step %d: %s", step_num, action) observation, reward, done, info = env.step(action) logger.info("Reward: %.2f", reward) logger.info("Done: %s", done) logger.info("Info: %s", info) # Save screenshot and trajectory information with open(os.path.join(example_trajectory_dir, f"step_{step_num}_{action_timestamp}.png"), "wb") as _f: with open(observation['screenshot'], "rb") as __f: screenshot = __f.read() _f.write(screenshot) with open(trajectory_recording_path, "a") as f: f.write(json.dumps({ "step_num": step_num, "action_timestamp": action_timestamp, "action": action, "reward": reward, "done": done, "info": info, "screenshot_file": f"step_{step_num}_{action_timestamp}.png" })) f.write("\n") if done: logger.info("The episode is done.") break def stop_recording(): try: env.controller.end_recording(os.path.join(example_trajectory_dir, "recording.mp4")) except Exception as e: print(f"An error occurred while stopping the recording: {e}") try: func_timeout.func_timeout(120, stop_recording) except func_timeout.exceptions.FunctionTimedOut: logger.info("Recording timed out.") result = env.evaluate() logger.info("Result: %.2f", result) with open(trajectory_recording_path, "a") as f: f.write(json.dumps({ "result": result })) f.write("\n") # env.close() logger.info("Environment closed.") def main(example_class, example_id, gpt4_model="gpt-4-vision-preview"): action_space = "pyautogui" gemini_model = "gemini-pro-vision" logger.info("Running example %s/%s", example_class, example_id) logger.info("Using model %s", gpt4_model) # logger.info("Using model %s", gemini_model) with open(f"evaluation_examples/examples/{example_class}/{example_id}.json", "r", encoding="utf-8") as f: example = json.load(f) example["snapshot"] = "exp_v5" api_key = os.environ.get("OPENAI_API_KEY") agent = GPT4v_Agent(api_key=api_key, model=gpt4_model, instruction=example['instruction'], action_space=action_space, exp="screenshot") # # api_key = os.environ.get("GENAI_API_KEY") # agent = GeminiPro_Agent(api_key=api_key, instruction=example['instruction'], action_space=action_space, exp="screenshot") root_trajectory_dir = "exp_trajectory" example_trajectory_dir = os.path.join(root_trajectory_dir, "screenshot", example_class, gpt4_model, example_id) # example_trajectory_dir = os.path.join(root_trajectory_dir, "screenshot", example_class, gemini_model, example_id) os.makedirs(example_trajectory_dir, exist_ok=True) if os.path.exists(os.path.join(example_trajectory_dir, "trajectory.json")): with open(os.path.join(example_trajectory_dir, "trajectory.json"), "r") as f: lines = f.readlines() # strip the last line if it is empty lines = [line.strip() for line in lines if line.strip() != ""] if len(lines) > 0: last_line = json.loads(lines[-1]) if "result" in last_line: logger.info(f"evaluation_examples/examples/{example_class}/{example_id}.json" + "has been evaluated. Skip.") return try: func_timeout.func_timeout(1200, run_one_example, args=(example, agent, 15, example_trajectory_dir)) except Exception as e: print(f"An error occurred: {e}") with open(os.path.join(example_trajectory_dir, "trajectory.json"), "a") as f: f.write(json.dumps({ "error": str(e) })) if __name__ == '__main__': ####### The complete version of the list of examples ####### os_list = [ # "94d95f96-9699-4208-98ba-3c3119edf9c2", # "bedcedc4-4d72-425e-ad62-21960b11fe0d", # "43c2d64c-bab5-4dcb-a30c-b888321c319a", # "7688b85f-87a4-4e4a-b2f8-f3d6c3f29b82", # "ec4e3f68-9ea4-4c18-a5c9-69f89d1178b3", "a462a795-fdc7-4b23-b689-e8b6df786b78", # "f9be0997-4b7c-45c5-b05c-4612b44a6118", # "28cc3b7e-b194-4bc9-8353-d04c0f4d56d2", # "5ea617a3-0e86-4ba6-aab2-dac9aa2e8d57", # "e0df059f-28a6-4169-924f-b9623e7184cc", # "ddc75b62-7311-4af8-bfb3-859558542b36", "b3d4a89c-53f2-4d6b-8b6a-541fb5d205fa", # "b6781586-6346-41cd-935a-a6b1487918fc", # "3ce045a0-877b-42aa-8d2c-b4a863336ab8", "fe41f596-a71b-4c2f-9b2f-9dcd40b568c3", # "a4d98375-215b-4a4d-aee9-3d4370fccc41", # "13584542-872b-42d8-b299-866967b5c3ef", # "23393935-50c7-4a86-aeea-2b78fd089c5c", "5812b315-e7bd-4265-b51f-863c02174c28", "c288e301-e626-4b98-a1ab-159dcb162af5", "cc9d4f34-1ca0-4a1b-8ff2-09302696acb9", "c56de254-a3ec-414e-81a6-83d2ce8c41fa", "4783cc41-c03c-4e1b-89b4-50658f642bd5", "5c1075ca-bb34-46a3-a7a0-029bd7463e79", "5ced85fc-fa1a-4217-95fd-0fb530545ce2", "37887e8c-da15-4192-923c-08fa390a176d", "4127319a-8b79-4410-b58a-7a151e15f3d7", "4d117223-a354-47fb-8b45-62ab1390a95f", "6f56bf42-85b8-4fbb-8e06-6c44960184ba" ] calc_list = [ # "eb03d19a-b88d-4de4-8a64-ca0ac66f426b", # "0bf05a7d-b28b-44d2-955a-50b41e24012a", # "7a4e4bc8-922c-4c84-865c-25ba34136be1", # "a9f325aa-8c05-4e4f-8341-9e4358565f4f", # "ecb0df7a-4e8d-4a03-b162-053391d3afaf", # "7efeb4b1-3d19-4762-b163-63328d66303b", # "4e6fcf72-daf3-439f-a232-c434ce416af6", # "6054afcb-5bab-4702-90a0-b259b5d3217c", # "abed40dc-063f-4598-8ba5-9fe749c0615d", # "01b269ae-2111-4a07-81fd-3fcd711993b0", # "8b1ce5f2-59d2-4dcc-b0b0-666a714b9a14", # "af2b02f7-acee-4be4-8b66-499fab394915", # "da1d63b8-fa12-417b-ba18-f748e5f770f3", # "636380ea-d5f6-4474-b6ca-b2ed578a20f1", # "5ba77536-05c5-4aae-a9ff-6e298d094c3e", # "4bc4eaf4-ca5e-4db2-8138-8d4e65af7c0b", # "672a1b02-c62f-4ae2-acf0-37f5fb3052b0", # "648fe544-16ba-44af-a587-12ccbe280ea6", # "8985d1e4-5b99-4711-add4-88949ebb2308", # "9e606842-2e27-43bf-b1d1-b43289c9589b", # "fcb6e45b-25c4-4087-9483-03d714f473a9", # "68c0c5b7-96f3-4e87-92a7-6c1b967fd2d2", # "fff629ea-046e-4793-8eec-1a5a15c3eb35", # "5c9a206c-bb00-4fb6-bb46-ee675c187df5", # "e975ae74-79bd-4672-8d1c-dc841a85781d", # "34a6938a-58da-4897-8639-9b90d6db5391", # "b5a22759-b4eb-4bf2-aeed-ad14e8615f19", # "2f9913a1-51ed-4db6-bfe0-7e1c95b3139e", # "2558031e-401d-4579-8e00-3ecf540fb492", # "0cecd4f3-74de-457b-ba94-29ad6b5dafb6", # "4188d3a4-077d-46b7-9c86-23e1a036f6c1", # "51b11269-2ca8-4b2a-9163-f21758420e78", # "7e429b8d-a3f0-4ed0-9b58-08957d00b127", # "347ef137-7eeb-4c80-a3bb-0951f26a8aff", # "6e99a1ad-07d2-4b66-a1ce-ece6d99c20a5", # "3aaa4e37-dc91-482e-99af-132a612d40f3", # "37608790-6147-45d0-9f20-1137bb35703d", # "f9584479-3d0d-4c79-affa-9ad7afdd8850", # "d681960f-7bc3-4286-9913-a8812ba3261a", # "21df9241-f8d7-4509-b7f1-37e501a823f7", # "1334ca3e-f9e3-4db8-9ca7-b4c653be7d17", # "357ef137-7eeb-4c80-a3bb-0951f26a8aff", # "aa3a8974-2e85-438b-b29e-a64df44deb4b", # "a01fbce3-2793-461f-ab86-43680ccbae25", # "4f07fbe9-70de-4927-a4d5-bb28bc12c52c" ] sheetcopilot_list = [ # "1e8df695-bd1b-45b3-b557-e7d599cf7597", # "1273e544-688f-496b-8d89-3e0f40aa0606", # "4172ea6e-6b77-4edb-a9cc-c0014bd1603b", # "0326d92d-d218-48a8-9ca1-981cd6d064c7", # "26a8440e-c166-4c50-aef4-bfb77314b46b", # "1954cced-e748-45c4-9c26-9855b97fbc5e", # "535364ea-05bd-46ea-9937-9f55c68507e8", # "4de54231-e4b5-49e3-b2ba-61a0bec721c0", # "1de60575-bb6e-4c3d-9e6a-2fa699f9f197", # "0a2e43bf-b26c-4631-a966-af9dfa12c9e5", # "3a7c8185-25c1-4941-bd7b-96e823c9f21f", # "04d9aeaf-7bed-4024-bedb-e10e6f00eb7f", # "42e0a640-4f19-4b28-973d-729602b5a4a7", # "1d17d234-e39d-4ed7-b46f-4417922a4e7c", "21ab7b40-77c2-4ae6-8321-e00d3a086c73", "30e3e107-1cfb-46ee-a755-2cd080d7ba6a", "12382c62-0cd1-4bf2-bdc8-1d20bf9b2371", "51719eea-10bc-4246-a428-ac7c433dd4b3" ] impress_list = [ # "5d901039-a89c-4bfb-967b-bf66f4df075e", # "550ce7e7-747b-495f-b122-acdc4d0b8e54", # "455d3c66-7dc6-4537-a39a-36d3e9119df7", # "af23762e-2bfd-4a1d-aada-20fa8de9ce07", # "c59742c0-4323-4b9d-8a02-723c251deaa0", # "ef9d12bd-bcee-4ba0-a40e-918400f43ddf", # "9ec204e4-f0a3-42f8-8458-b772a6797cab", # "0f84bef9-9790-432e-92b7-eece357603fb", # "ce88f674-ab7a-43da-9201-468d38539e4a", # "3b27600c-3668-4abd-8f84-7bcdebbccbdb", # "a097acff-6266-4291-9fbd-137af7ecd439", # "bf4e9888-f10f-47af-8dba-76413038b73c", # "21760ecb-8f62-40d2-8d85-0cee5725cb72", # "ac9bb6cb-1888-43ab-81e4-a98a547918cd", # "2cd43775-7085-45d8-89fa-9e35c0a915cf", # "358aa0a7-6677-453f-ae35-e440f004c31e", # "a669ef01-ded5-4099-9ea9-25e99b569840", # # The following examples are from PPTC # "73c99fb9-f828-43ce-b87a-01dc07faa224", # "15aece23-a215-4579-91b4-69eec72e18da", # "986fc832-6af2-417c-8845-9272b3a1528b", # "a434992a-89df-4577-925c-0c58b747f0f4", # "7dbc52a6-11e0-4c9a-a2cb-1e36cfda80d8", # "841b50aa-df53-47bd-a73a-22d3a9f73160", # "8979838c-54a5-4454-a2b8-3d135a1a5c8f", # "b8adbc24-cef2-4b15-99d5-ecbe7ff445eb", # "2b94c692-6abb-48ae-ab0b-b3e8a19cb340", # "9cf05d24-6bd9-4dae-8967-f67d88f5d38a", # "08aced46-45a2-48d7-993b-ed3fb5b32302", # "edb61b14-a854-4bf5-a075-c8075c11293a", # "c82632a4-56b6-4db4-9dd1-3820ee3388e4", # "39be0d19-634d-4475-8768-09c130f5425d", # "ac1b39ff-ee4d-4483-abce-c117e98942f0", # "f23acfd2-c485-4b7c-a1e7-d4303ddfe864", # "70bca0cc-c117-427e-b0be-4df7299ebeb6", # "af2d657a-e6b3-4c6a-9f67-9e3ed015974c", # "57667013-ea97-417c-9dce-2713091e6e2a", # "0a211154-fda0-48d0-9274-eaac4ce5486d", # "a53f80cd-4a90-4490-8310-097b011433f6", # "7ae48c60-f143-4119-b659-15b8f485eb9a", # "5cfb9197-e72b-454b-900e-c06b0c802b40", # "05dd4c1d-c489-4c85-8389-a7836c4f0567", # "5c1a6c3d-c1b3-47cb-9b01-8d1b7544ffa1", # "4ed5abd0-8b5d-47bd-839f-cacfa15ca37a", # "e4ef0baf-4b52-4590-a47e-d4d464cca2d7", # "ed43c15f-00cb-4054-9c95-62c880865d68", "3161d64e-3120-47b4-aaad-6a764a92493b", "04578141-1d42-4146-b9cf-6fab4ce5fd74" ] impress_gpt4_list = [ # "5d901039-a89c-4bfb-967b-bf66f4df075e", # "550ce7e7-747b-495f-b122-acdc4d0b8e54", # "455d3c66-7dc6-4537-a39a-36d3e9119df7", # "af23762e-2bfd-4a1d-aada-20fa8de9ce07", # "c59742c0-4323-4b9d-8a02-723c251deaa0", # "ef9d12bd-bcee-4ba0-a40e-918400f43ddf", # "9ec204e4-f0a3-42f8-8458-b772a6797cab", # "0f84bef9-9790-432e-92b7-eece357603fb", # "ce88f674-ab7a-43da-9201-468d38539e4a", # "3b27600c-3668-4abd-8f84-7bcdebbccbdb", # "a097acff-6266-4291-9fbd-137af7ecd439", # "bf4e9888-f10f-47af-8dba-76413038b73c", # "21760ecb-8f62-40d2-8d85-0cee5725cb72", "ac9bb6cb-1888-43ab-81e4-a98a547918cd", "2cd43775-7085-45d8-89fa-9e35c0a915cf", "358aa0a7-6677-453f-ae35-e440f004c31e", "a669ef01-ded5-4099-9ea9-25e99b569840", # The following examples are from PPTC "73c99fb9-f828-43ce-b87a-01dc07faa224", "15aece23-a215-4579-91b4-69eec72e18da", "986fc832-6af2-417c-8845-9272b3a1528b", "a434992a-89df-4577-925c-0c58b747f0f4", "7dbc52a6-11e0-4c9a-a2cb-1e36cfda80d8", "841b50aa-df53-47bd-a73a-22d3a9f73160", "8979838c-54a5-4454-a2b8-3d135a1a5c8f", "b8adbc24-cef2-4b15-99d5-ecbe7ff445eb", "2b94c692-6abb-48ae-ab0b-b3e8a19cb340", "9cf05d24-6bd9-4dae-8967-f67d88f5d38a", "08aced46-45a2-48d7-993b-ed3fb5b32302", "edb61b14-a854-4bf5-a075-c8075c11293a", "c82632a4-56b6-4db4-9dd1-3820ee3388e4", "39be0d19-634d-4475-8768-09c130f5425d", "ac1b39ff-ee4d-4483-abce-c117e98942f0", "f23acfd2-c485-4b7c-a1e7-d4303ddfe864", "70bca0cc-c117-427e-b0be-4df7299ebeb6", "af2d657a-e6b3-4c6a-9f67-9e3ed015974c", "57667013-ea97-417c-9dce-2713091e6e2a", "0a211154-fda0-48d0-9274-eaac4ce5486d", "a53f80cd-4a90-4490-8310-097b011433f6", "7ae48c60-f143-4119-b659-15b8f485eb9a", "5cfb9197-e72b-454b-900e-c06b0c802b40", "05dd4c1d-c489-4c85-8389-a7836c4f0567", "5c1a6c3d-c1b3-47cb-9b01-8d1b7544ffa1", "4ed5abd0-8b5d-47bd-839f-cacfa15ca37a", "e4ef0baf-4b52-4590-a47e-d4d464cca2d7", "ed43c15f-00cb-4054-9c95-62c880865d68", "3161d64e-3120-47b4-aaad-6a764a92493b", "04578141-1d42-4146-b9cf-6fab4ce5fd74" ] writer_list = [ # "6ada715d-3aae-4a32-a6a7-429b2e43fb93", # "ecc2413d-8a48-416e-a3a2-d30106ca36cb", # "0e47de2a-32e0-456c-a366-8c607ef7a9d2", # "4bcb1253-a636-4df4-8cb0-a35c04dfef31", # "0810415c-bde4-4443-9047-d5f70165a697", # "e528b65e-1107-4b8c-8988-490e4fece599", # "66399b0d-8fda-4618-95c4-bfc6191617e9", "6a33f9b9-0a56-4844-9c3f-96ec3ffb3ba2", # "936321ce-5236-426a-9a20-e0e3c5dc536f", # "3ef2b351-8a84-4ff2-8724-d86eae9b842e", # "0b17a146-2934-46c7-8727-73ff6b6483e8", # "0e763496-b6bb-4508-a427-fad0b6c3e195", # "f178a4a9-d090-4b56-bc4c-4b72a61a035d", # "adf5e2c3-64c7-4644-b7b6-d2f0167927e7", # "0a0faba3-5580-44df-965d-f562a99b291c", # "e246f6d8-78d7-44ac-b668-fcf47946cb50", # "8472fece-c7dd-4241-8d65-9b3cd1a0b568", # "88fe4b2d-3040-4c70-9a70-546a47764b48", # "d53ff5ee-3b1a-431e-b2be-30ed2673079b", # "72b810ef-4156-4d09-8f08-a0cf57e7cefe", # "6f81754e-285d-4ce0-b59e-af7edb02d108", # "b21acd93-60fd-4127-8a43-2f5178f4a830", "bb8ccc78-479f-4a2f-a71e-d565e439436b" ] vlc_list = [ "8ba5ae7a-5ae5-4eab-9fcc-5dd4fe3abf89", "8f080098-ddb1-424c-b438-4e96e5e4786e", "bba3381f-b5eb-4439-bd9e-80c22218d5a7", "fba2c100-79e8-42df-ae74-b592418d54f4", "efcf0d81-0835-4880-b2fd-d866e8bc2294", "8d9fd4e2-6fdb-46b0-b9b9-02f06495c62f", "aa4b5023-aef6-4ed9-bdc9-705f59ab9ad6", "386dbd0e-0241-4a0a-b6a2-6704fba26b1c", "9195653c-f4aa-453d-aa95-787f6ccfaae9", "d06f0d4d-2cd5-4ede-8de9-598629438c6e", "a5bbbcd5-b398-4c91-83d4-55e1e31bbb81", "f3977615-2b45-4ac5-8bba-80c17dbe2a37", "215dfd39-f493-4bc3-a027-8a97d72c61bf", "cb130f0d-d36f-4302-9838-b3baf46139b6", "7882ed6e-bece-4bf0-bada-c32dc1ddae72" ] chrome_list = [ # "bb5e4c0d-f964-439c-97b6-bdb9747de3f4", # "7b6c7e24-c58a-49fc-a5bb-d57b80e5b4c3", # "06fe7178-4491-4589-810f-2e2bc9502122", # "e1e75309-3ddb-4d09-92ec-de869c928143", # "35253b65-1c19-4304-8aa4-6884b8218fc0", # "2ad9387a-65d8-4e33-ad5b-7580065a27ca", # "7a5a7856-f1b6-42a4-ade9-1ca81ca0f263", # "44ee5668-ecd5-4366-a6ce-c1c9b8d4e938", # "2ae9ba84-3a0d-4d4c-8338-3a1478dc5fe3", # "480bcfea-d68f-4aaa-a0a9-2589ef319381", # "af630914-714e-4a24-a7bb-f9af687d3b91" "3720f614-37fd-4d04-8a6b-76f54f8c222d", "99146c54-4f37-4ab8-9327-5f3291665e1e", "12086550-11c0-466b-b367-1d9e75b3910e", "6766f2b8-8a72-417f-a9e5-56fcaa735837", "93eabf48-6a27-4cb6-b963-7d5fe1e0d3a9", "ae78f875-5b98-4907-bbb5-9c737fc68c03", "3299584d-8f11-4457-bf4c-ce98f7600250", "030eeff7-b492-4218-b312-701ec99ee0cc", "9656a811-9b5b-4ddf-99c7-5117bcef0626", "fc6d8143-9452-4171-9459-7f515143419a", "a96b564e-dbe9-42c3-9ccf-b4498073438a", "1704f00f-79e6-43a7-961b-cedd3724d5fd", "f3b19d1e-2d48-44e9-b4e1-defcae1a0197", "82bc8d6a-36eb-4d2d-8801-ef714fb1e55a", "47543840-672a-467d-80df-8f7c3b9788c9", "c1fa57f3-c3db-4596-8f09-020701085416", "da46d875-6b82-4681-9284-653b0c7ae241", "6c4c23a1-42a4-43cc-9db1-2f86ff3738cc", "f79439ad-3ee8-4f99-a518-0eb60e5652b0", "b7895e80-f4d1-4648-bee0-4eb45a6f1fa8", "9f3f70fc-5afc-4958-a7b7-3bb4fcb01805", "7f52cab9-535c-4835-ac8c-391ee64dc930", "82279c77-8fc6-46f6-9622-3ba96f61b477", "2888b4e6-5b47-4b57-8bf5-c73827890774", "b4f95342-463e-4179-8c3f-193cd7241fb2", "f5d96daf-83a8-4c86-9686-bada31fc66ab", "121ba48f-9e17-48ce-9bc6-a4fb17a7ebba", "368d9ba4-203c-40c1-9fa3-da2f1430ce63", "59155008-fe71-45ec-8a8f-dc35497b6aa8", "a728a36e-8bf1-4bb6-9a03-ef039a5233f0", "b070486d-e161-459b-aa2b-ef442d973b92", "0d8b7de3-e8de-4d86-b9fd-dd2dce58a217", "9f935cce-0a9f-435f-8007-817732bfc0a5", "f0b971a1-6831-4b9b-a50e-22a6e47f45ba", "cabb3bae-cccb-41bd-9f5d-0f3a9fecd825" ] vs_code_list = [ "0ed39f63-6049-43d4-ba4d-5fa2fe04a951", "53ad5833-3455-407b-bbc6-45b4c79ab8fb", "eabc805a-bfcf-4460-b250-ac92135819f6", "982d12a5-beab-424f-8d38-d2a48429e511", "4e60007a-f5be-4bfc-9723-c39affa0a6d3", "e2b5e914-ffe1-44d2-8e92-58f8c5d92bb2", "9439a27b-18ae-42d8-9778-5f68f891805e", "ea98c5d7-3cf9-4f9b-8ad3-366b58e0fcae", "930fdb3b-11a8-46fe-9bac-577332e2640e", "276cc624-87ea-4f08-ab93-f770e3790175", "9d425400-e9b2-4424-9a4b-d4c7abac4140", "5e2d93d8-8ad0-4435-b150-1692aacaa994", "6ed0a554-cbee-4b44-84ea-fd6c042f4fe1", "ec71221e-ac43-46f9-89b8-ee7d80f7e1c5", "70745df8-f2f5-42bd-8074-fbc10334fcc5", "57242fad-77ca-454f-b71b-f187181a9f23", "c6bf789c-ba3a-4209-971d-b63abf0ab733", "0512bb38-d531-4acf-9e7e-0add90816068", "847a96b6-df94-4927-97e6-8cc9ea66ced7", "7aeae0e2-70ee-4705-821d-1bba5d5b2ddd", "dcbe20e8-647f-4f1d-8696-f1c5bbb570e3", "7c4cc09e-7a92-40dd-8338-b2286535c4ed", "971cbb5b-3cbf-4ff7-9e24-b5c84fcebfa6" ] gimp_list = [ "7a4deb26-d57d-4ea9-9a73-630f66a7b568", "554785e9-4523-4e7a-b8e1-8016f565f56a", "77b8ab4d-994f-43ac-8930-8ca087d7c4b4", "f4aec372-4fb0-4df5-a52b-79e0e2a5d6ce", "d52d6308-ec58-42b7-a2c9-de80e4837b2b", "2a729ded-3296-423d-aec4-7dd55ed5fbb3", "b148e375-fe0b-4bec-90e7-38632b0d73c2", "a746add2-cab0-4740-ac36-c3769d9bfb46", "7b7617bd-57cc-468e-9c91-40c4ec2bcb3d", "d16c99dc-2a1e-46f2-b350-d97c86c85c15", "06ca5602-62ca-47f6-ad4f-da151cde54cc", "e2dd0213-26db-4349-abe5-d5667bfd725c", "f723c744-e62c-4ae6-98d1-750d3cd7d79d", "72f83cdc-bf76-4531-9a1b-eb893a13f8aa", "7767eef2-56a3-4cea-8c9f-48c070c7d65b", "734d6579-c07d-47a8-9ae2-13339795476b" ] # multiple_list = [ # "f8cfa149-d1c1-4215-8dac-4a0932bad3c2", # "897e3b53-5d4d-444b-85cb-2cdc8a97d903", # "4e9f0faf-2ecc-4ae8-a804-28c9a75d1ddc", # "b52b40a5-ad70-4c53-b5b0-5650a8387052", # "46407397-a7d5-4c6b-92c6-dbe038b1457b", # "2b9493d7-49b8-493a-a71b-56cd1f4d6908", # "51f5801c-18b3-4f25-b0c3-02f85507a078", # "2c9fc0de-3ee7-45e1-a5df-c86206ad78b5", # "510f64c8-9bcc-4be1-8d30-638705850618", # "937087b6-f668-4ba6-9110-60682ee33441", # "ee9a3c83-f437-4879-8918-be5efbb9fac7", # "3680a5ee-6870-426a-a997-eba929a0d25c", # "e135df7c-7687-4ac0-a5f0-76b74438b53e", # "58565672-7bfe-48ab-b828-db349231de6b", # "2fe4b718-3bd7-46ec-bdce-b184f5653624" # ] # # for example_id in calc_list: # try: # with eventlet.Timeout(600, False): # main("libreoffice_calc", example_id, gpt4_model="gemini-pro-vision") # except Exception as e: # logger.error("An error occurred while running the example: %s", e) # continue # for example_id in vs_code_list: # main("vs_code", example_id, gpt4_model="gemini-pro-vision") # # for example_id in gimp_list: # main("gimp", example_id, gpt4_model="gemini-pro-vision") for example_id in chrome_list: main("chrome", example_id, "gemini-pro-vision") for example_id in chrome_list: main("chrome", example_id)