Fix some errors found in thunderbird examples

experiment_screenshot_seeact.py

@@ -1,10 +1,10 @@
+import ctypes
 import datetime
 import json
 import logging
 import os
 import sys
-import threading
-import time
+import func_timeout
 
 from desktop_env.envs.desktop_env import DesktopEnv
 from mm_agents.gpt_4v_agent import GPT4v_Agent
@@ -104,28 +104,10 @@ def run_one_example(example, agent, max_steps=10, example_trajectory_dir="exp_tr
         except Exception as e:
             print(f"An error occurred while stopping the recording: {e}")
 
-    # Run the `record` function in a separate thread
-    recording_thread = threading.Thread(target=stop_recording())
-    recording_thread.start()
-
-    # Start a timer for your timeout length (in this case, 60 seconds)
-    timeout = 60  # seconds
-    start_time = time.time()
-
-    # The main thread will wait for the set timeout period or until the recording is done
-    while recording_thread.is_alive():
-        elapsed_time = time.time() - start_time
-        if elapsed_time >= timeout:
-            print("Timeout reached. Stopping recording.")
-            break
-        time.sleep(0.1)  # Sleep for a short time to prevent this loop from using too much CPU
-
-    # kill the recording thread if it is still alive
-    if recording_thread.is_alive():
-        recording_thread.kill()
-
-    # Wait for the recording thread to finish before exiting
-    recording_thread.join()
+    try:
+        func_timeout.func_timeout(30, stop_recording)
+    except func_timeout.exceptions.FunctionTimedOut:
+        logger.info("Recording timed out.")
 
     result = env.evaluate()
     logger.info("Result: %.2f", result)
@@ -147,7 +129,7 @@ def main(example_class, example_id):
 
     with open(f"evaluation_examples/examples/{example_class}/{example_id}.json", "r", encoding="utf-8") as f:
         example = json.load(f)
-    example["snapshot"] = "exp_chrome"
+    example["snapshot"] = "exp_v1"
 
     api_key = os.environ.get("OPENAI_API_KEY")
     agent = GPT4v_Agent(api_key=api_key, model=gpt4_model, instruction=example['instruction'],