Merge pull request #870 from garylin2099/ci_dev

Examples

examples/ci/data_visualization.py

@@ -0,0 +1,14 @@
+import asyncio
+
+from metagpt.roles.ci.code_interpreter import CodeInterpreter
+
+
+async def main(requirement: str = ""):
+    code_interpreter = CodeInterpreter(use_tools=False)
+    await code_interpreter.run(requirement)
+
+
+if __name__ == "__main__":
+    requirement = "Run data analysis on sklearn Iris dataset, include a plot"
+
+    asyncio.run(main(requirement))

examples/ci/imitate_webpage.py

@@ -15,7 +15,7 @@ Firstly, utilize Selenium and WebDriver for rendering.
 Secondly, convert image to a webpage including HTML, CSS and JS in one go. 
 Finally, save webpage in a text file. 
 Note: All required dependencies and environments have been fully installed and configured."""
-    ci = CodeInterpreter(goal=prompt, use_tools=True)
+    ci = CodeInterpreter(use_tools=True)
 
     await ci.run(prompt)
 

examples/ci/ml_engineer_with_tools.py

@@ -9,8 +9,8 @@ async def main(requirement: str, auto_run: bool = True, use_tools: bool = True):
 
 
 if __name__ == "__main__":
-    data_path = "your_path_to_icr/icr-identify-age-related-conditions"  # 替换 'your_path_to_icr' 为实际数据存放的路径
-    train_path = f"{data_path}/your_train_data.csv"  # 替换 'your_train_data.csv' 为你的训练数据文件名
-    eval_path = f"{data_path}/your_eval_data.csv"  # 替换 'your_eval_data.csv' 为你的评估数据文件名
+    data_path = "your_path_to_icr/icr-identify-age-related-conditions"
+    train_path = f"{data_path}/your_train_data.csv"
+    eval_path = f"{data_path}/your_eval_data.csv"
     requirement = f"This is a medical dataset with over fifty anonymized health characteristics linked to three age-related conditions. Your goal is to predict whether a subject has or has not been diagnosed with one of these conditions.The target column is Class. Perform data analysis, data preprocessing, feature engineering, and modeling to predict the target. Report f1 score on the eval data. Train data path: {train_path}, eval data path:{eval_path}."
     asyncio.run(main(requirement))

examples/ci/rm_image_background.py

@@ -0,0 +1,15 @@
+import asyncio
+
+from metagpt.roles.ci.code_interpreter import CodeInterpreter
+
+
+async def main(requirement: str = ""):
+    code_interpreter = CodeInterpreter(use_tools=False)
+    await code_interpreter.run(requirement)
+
+
+if __name__ == "__main__":
+    image_path = "/your/path/to/the/image.jpeg"
+    save_path = "/your/intended/save/path/for/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/ci/solve_math_problems.py

@@ -0,0 +1,13 @@
+import asyncio
+
+from metagpt.roles.ci.code_interpreter import CodeInterpreter
+
+
+async def main(requirement: str = ""):
+    code_interpreter = CodeInterpreter(use_tools=False)
+    await code_interpreter.run(requirement)
+
+
+if __name__ == "__main__":
+    requirement = "Solve this math problem: The greatest common divisor of positive integers m and n is 6. The least common multiple of m and n is 126. What is the least possible value of m + n?"
+    asyncio.run(main(requirement))