some docs fix

README.md

@@ -70,7 +70,8 @@ Our vision is to revolutionize how AI agents collaborate to solve real-world tas
   - [**Set up Environment**](#set-up-environment)
   - [**Install Dependencies**](#install-dependencies)
   - [**Setup Environment Variables**](#setup-environment-variables)
-  - [**使用Docker运行**](#使用docker运行)
+  - [**Running with Docker**](#running-with-docker)
+  
 - [🚀 Quick Start](#-quick-start)
 - [🧪 Experiments](#-experiments)
 - [⏱️ Future Plans](#️-future-plans)

README_zh.md

@@ -71,6 +71,7 @@
   - [**设置环境**](#设置环境)
   - [**安装依赖**](#安装依赖)
   - [**设置环境变量**](#设置环境变量)
+  - [**使用Docker运行**](#使用docker运行)
 - [🚀 快速开始](#-快速开始)
 - [🧪 实验](#-实验)
 - [⏱️ 未来计划](#️-未来计划)

owl/run_qwq_demo.py

@@ -1,92 +0,0 @@
-
-from dotenv import load_dotenv
-load_dotenv()
-
-from camel.models import ModelFactory
-from camel.toolkits import *
-from camel.types import ModelPlatformType, ModelType
-from camel.configs import ChatGPTConfig
-
-from typing import List, Dict
-
-from retry import retry
-from loguru import logger
-
-from utils import OwlRolePlaying, run_society
-import os
-
-
-
-
-def construct_society(question: str) -> OwlRolePlaying:
-    r"""Construct the society based on the question."""
-
-    user_role_name = "user"
-    assistant_role_name = "assistant"
-    
-    user_model = ModelFactory.create(
-        model_platform=ModelPlatformType.OPENAI_COMPATIBLE_MODEL,
-        model_type="qwq-32b",
-        api_key=os.getenv("QWEN_API_KEY"),
-        url="https://dashscope.aliyuncs.com/compatible-mode/v1",
-        model_config_dict={"temperature": 0.4, "max_tokens": 4096},
-    )
-
-    assistant_model = ModelFactory.create(
-        model_platform=ModelPlatformType.OPENAI_COMPATIBLE_MODEL,
-        model_type="qwq-32b",
-        api_key=os.getenv("QWEN_API_KEY"),
-        url="https://dashscope.aliyuncs.com/compatible-mode/v1",
-        model_config_dict={"temperature": 0.4, "max_tokens": 4096},
-    )
-
-
-    tools_list = [
-        *WebToolkit(
-            headless=False, 
-            web_agent_model=assistant_model, 
-            planning_agent_model=assistant_model
-        ).get_tools(),
-        *DocumentProcessingToolkit().get_tools(),
-        *VideoAnalysisToolkit(model=assistant_model).get_tools(),  # This requires OpenAI Key
-        *AudioAnalysisToolkit().get_tools(),  # This requires OpenAI Key
-        *CodeExecutionToolkit().get_tools(),
-        *ImageAnalysisToolkit(model=assistant_model).get_tools(),
-        *SearchToolkit(model=assistant_model).get_tools(),
-        *ExcelToolkit().get_tools()
-    ]
-
-    user_role_name = 'user'
-    user_agent_kwargs = dict(model=user_model)
-    assistant_role_name = 'assistant'
-    assistant_agent_kwargs = dict(model=assistant_model,
-    tools=tools_list)
-    
-    task_kwargs = {
-        'task_prompt': question,
-        'with_task_specify': False,
-    }
-
-    society = OwlRolePlaying(
-        **task_kwargs,
-        user_role_name=user_role_name,
-        user_agent_kwargs=user_agent_kwargs,
-        assistant_role_name=assistant_role_name,
-        assistant_agent_kwargs=assistant_agent_kwargs,
-    )
-    
-    return society
-
-
-# Example case
-question = "What was the volume in m^3 of the fish bag that was calculated in the University of Leicester paper `Can Hiccup Supply Enough Fish to Maintain a Dragon’s Diet?` "
-
-society = construct_society(question)
-answer, chat_history, token_count = run_society(society)
-
-logger.success(f"Answer: {answer}")
-
-
-
-
-