Fix mypy errors

apps/agents/agents.py

@@ -214,8 +214,8 @@ def role_playing_chat_init(state) -> \
     session: RolePlaying = state.session
 
     try:
-        init_assistant_msg, _ = session.init_chat()
         init_assistant_msg: BaseMessage
+        init_assistant_msg, _ = session.init_chat()
     except (openai.error.RateLimitError, tenacity.RetryError,
             RuntimeError) as ex:
         print("OpenAI API exception 1 " + str(ex))

apps/data_explorer/data_explorer.py

@@ -52,7 +52,8 @@ def parse_arguments():
     return args
 
 
-def construct_ui(blocks, datasets: Datasets, default_dataset: str = None):
+def construct_ui(blocks, datasets: Datasets,
+                 default_dataset: Optional[str] = None):
     """ Build Gradio UI and populate with chat data from JSONs.
 
     Args:
@@ -226,7 +227,7 @@ def build_chat_history(messages: Dict[int, Dict]) -> List[Tuple]:
         Returns:
             List[Tuple]: Chat history in chatbot UI element format.
         """
-        history = []
+        history: List[Tuple] = []
         curr_qa = (None, None)
         for k in sorted(messages.keys()):
             msg = messages[k]

apps/data_explorer/loader.py

@@ -18,7 +18,7 @@
 import glob
 import os
 import re
-from typing import Any, Dict, List, Optional, Tuple, Union
+from typing import Any, Dict, Optional, Tuple, Union
 
 from tqdm import tqdm
 
@@ -111,17 +111,17 @@ def load_zip(zip_path: str) -> AllChats:
             continue
         parsed_list.append(parsed)
 
-    assistant_roles = set()
-    user_roles = set()
+    assistant_roles_set = set()
+    user_roles_set = set()
     for parsed in parsed_list:
-        assistant_roles.add(parsed['assistant_role'])
-        user_roles.add(parsed['user_role'])
-    assistant_roles = list(sorted(assistant_roles))
-    user_roles = list(sorted(user_roles))
-    matrix: Dict[Tuple[str, str], List[Dict]] = dict()
+        assistant_roles_set.add(parsed['assistant_role'])
+        user_roles_set.add(parsed['user_role'])
+    assistant_roles = list(sorted(assistant_roles_set))
+    user_roles = list(sorted(user_roles_set))
+    matrix: Dict[Tuple[str, str], Dict[str, Dict]] = dict()
     for parsed in parsed_list:
         key = (parsed['assistant_role'], parsed['user_role'])
-        original_task = parsed['original_task']
+        original_task: str = parsed['original_task']
         new_item = {
             k: v
             for k, v in parsed.items()

camel/societies/role_playing.py

@@ -11,7 +11,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
-from typing import Dict, List, Optional, Sequence, Tuple
+from typing import Dict, List, Optional, Sequence, Tuple, Union
 
 from camel.agents import (
     ChatAgent,
@@ -23,6 +23,7 @@
 from camel.generators import SystemMessageGenerator
 from camel.human import Human
 from camel.messages import BaseMessage
+from camel.prompts import TextPrompt
 from camel.typing import ModelType, RoleType, TaskType
 
 
@@ -95,6 +96,7 @@ def __init__(
         self.model_type = model_type
         self.task_type = task_type
 
+        self.specified_task_prompt: Optional[TextPrompt]
         if with_task_specify:
             task_specify_meta_dict = dict()
             if self.task_type in [TaskType.AI_SOCIETY, TaskType.MISALIGNMENT]:
@@ -118,6 +120,7 @@ def __init__(
         else:
             self.specified_task_prompt = None
 
+        self.planned_task_prompt: Optional[TextPrompt]
         if with_task_planner:
             task_planner_agent = TaskPlannerAgent(
                 self.model_type,
@@ -173,6 +176,7 @@ def __init__(
         )
         self.user_sys_msg = self.user_agent.system_message
 
+        self.critic: Union[CriticAgent, Human, None]
         if with_critic_in_the_loop:
             if critic_role_name.lower() == "human":
                 self.critic = Human(**(critic_kwargs or {}))

examples/misalignment/role_playing_with_human.py

@@ -29,7 +29,7 @@ def main() -> None:
         "CAMEL AGI",
         task_prompt=task_prompt,
         with_task_specify=True,
-        with_human_in_the_loop=True,
+        with_critic_in_the_loop=True,
         task_type=TaskType.MISALIGNMENT,
         task_specify_agent_kwargs=dict(model_config=ChatGPTConfig(
             temperature=1.4)),

examples/summarization/gpt_solution_extraction.py

@@ -102,10 +102,10 @@ def flatten_conversation(conversation: Dict) -> str:
 
 def format_combination(combination: Tuple[int, int, int]):
     assistant_role, user_role, task = combination
-    assistant_role = str(assistant_role).zfill(3)
-    user_role = str(user_role).zfill(3)
-    task = str(task).zfill(3)
-    return f"{assistant_role}_{user_role}_{task}"
+    assistant_role_str = str(assistant_role).zfill(3)
+    user_role_str = str(user_role).zfill(3)
+    task_str = str(task).zfill(3)
+    return f"{assistant_role_str}_{user_role_str}_{task_str}"
 
 
 def solution_extraction(conversation: Dict, flattened_conversation: str,