some docs fix

README.md

@@ -232,8 +232,8 @@ If you find this repo useful, please cite:
 # 🔥 Community
 Join us for further discussions!
 <!-- ![](./assets/community.png) -->
-![](./assets/community_4.jpg)
-![](./assets/meetup.jpg)
+![](./assets/community_5.jpg)
+<!-- ![](./assets/meetup.jpg) -->
 
 # ❓ FAQ
 

README_zh.md

@@ -226,8 +226,8 @@ python run_gaia_roleplaying.py
 # 🔥 社区
 加入我们，参与更多讨论！
 <!-- ![](./assets/community.png) -->
-![](./assets/community_4.jpg)
-![](./assets/meetup.jpg)
+![](./assets/community_5.jpg)
+<!-- ![](./assets/meetup.jpg) -->
 
 # ❓ 常见问题
 

owl/run_deepseek_example.py

@@ -35,15 +35,15 @@ def construct_society(question: str) -> OwlRolePlaying:
 
     tools_list = [
         *WebToolkit(
-            headless=False, 
+            headless=False,  # Set to True if you want to run in headless mode (e.g. on a remote server)
             web_agent_model=assistant_model, 
             planning_agent_model=assistant_model
         ).get_tools(),
         *DocumentProcessingToolkit().get_tools(),
-        *VideoAnalysisToolkit().get_tools(),  # This requires OpenAI and Qwen Key
+        # *VideoAnalysisToolkit().get_tools(),  # This requires OpenAI and Qwen Key
         *CodeExecutionToolkit(sandbox="subprocess", verbose=True).get_tools(),
         *ImageAnalysisToolkit(model=assistant_model).get_tools(),
-        *AudioAnalysisToolkit().get_tools(),  # This requires OpenAI Key
+        # *AudioAnalysisToolkit().get_tools(),  # This requires OpenAI Key
         *SearchToolkit(model=assistant_model).get_tools(),
         *ExcelToolkit().get_tools()
     ]

owl/run_qwq_demo.py

@@ -0,0 +1,93 @@
+
+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,  # Set to True if you want to run in headless mode (e.g. on a remote server)
+            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}")
+
+
+
+
+
+