example fix

examples/android_assistant/run_assistant.py

@@ -9,7 +9,7 @@ from pathlib import Path
 
 import typer
 
-from metagpt.config2 import config
+from metagpt.config2 import Config
 from metagpt.environment.android.android_env import AndroidEnv
 from metagpt.ext.android_assistant.roles.android_assistant import AndroidAssistant
 from metagpt.team import Team
@@ -41,6 +41,7 @@ def startup(
     ),
     device_id: str = typer.Option(default="emulator-5554", help="The Android device_id"),
 ):
+    config = Config.default()
     config.extra = {
         "stage": stage,
         "mode": mode,

examples/di/ocr_receipt.py

@@ -1,17 +1,18 @@
+from metagpt.const import EXAMPLE_DATA_PATH
 from metagpt.roles.di.data_interpreter import DataInterpreter
 
 
 async def main():
     # Notice: pip install metagpt[ocr] before using this example
-    image_path = "image.jpg"
+    image_path = EXAMPLE_DATA_PATH / "di/receipt_shopping.jpg"
     language = "English"
     requirement = f"""This is a {language} receipt image.
     Your goal is to perform OCR on images using PaddleOCR, output text content from the OCR results and discard 
-    coordinates and confidence levels, then recognize the total amount from ocr text content, and finally save as table. 
+    coordinates and confidence levels, then recognize the total amount from ocr text content, and finally save as csv table. 
     Image path: {image_path}.
     NOTE: The environments for Paddle and PaddleOCR are all ready and has been fully installed."""
-    di = DataInterpreter()
-
+    di = DataInterpreter(react_mode="react")
+    print(requirement)
     await di.run(requirement)
 
 

examples/di/rm_image_background.py

@@ -1,5 +1,6 @@
 import asyncio
 
+from metagpt.const import DEFAULT_WORKSPACE_ROOT, EXAMPLE_DATA_PATH
 from metagpt.roles.di.data_interpreter import DataInterpreter
 
 
@@ -9,7 +10,7 @@ async def main(requirement: str = ""):
 
 
 if __name__ == "__main__":
-    image_path = "/your/path/to/the/image.jpeg"
-    save_path = "/your/intended/save/path/for/image_rm_bg.png"
+    image_path = EXAMPLE_DATA_PATH / "di/dog.jpg"
+    save_path = DEFAULT_WORKSPACE_ROOT / "image_rm_bg.png"
     requirement = f"This is a image, you need to use python toolkit rembg to remove the background of the image and save the result. image path:{image_path}; save path:{save_path}."
     asyncio.run(main(requirement))

examples/rag/omniparse.py

@@ -1,6 +1,6 @@
 import asyncio
 
-from metagpt.config2 import config
+from metagpt.config2 import Config
 from metagpt.const import EXAMPLE_DATA_PATH
 from metagpt.logs import logger
 from metagpt.rag.parsers import OmniParse
@@ -12,6 +12,8 @@ TEST_PDF = EXAMPLE_DATA_PATH / "omniparse/test02.pdf"
 TEST_VIDEO = EXAMPLE_DATA_PATH / "omniparse/test03.mp4"
 TEST_AUDIO = EXAMPLE_DATA_PATH / "omniparse/test04.mp3"
 
+config = Config.default()
+
 
 async def omniparse_client_example():
     client = OmniParseClient(base_url=config.omniparse.base_url)

metagpt/environment/werewolf/env_space.py

@@ -5,7 +5,7 @@
 from gymnasium import spaces
 from pydantic import ConfigDict, Field
 
-from metagpt.environment.base_env_space import BaseEnvAction, BaseEnvActionType
+from metagpt.base.base_env_space import BaseEnvAction, BaseEnvActionType
 from metagpt.environment.werewolf.const import STEP_INSTRUCTIONS