Merge new features into dev-v1

README.md

@@ -482,7 +482,7 @@ AgentVerse is on a mission to revolutionize the multi-agent environment for larg
 
 
 ## How Can You Contribute?
-- **Issue and Pull-Request**: If you encounter any problems when use AgentVerse, you can propose the issue. Beisdes, you can also autonomously ask us to assign issue to you and send the PR (Please follow the [PULL_REQUEST_TEMPLATE](https://github.com/OpenBMB/AgentVerse/blob/main/PULL_REQUEST_TEMPLATE.md)) after you solve it. 
+- **Issue and Pull-Request**: If you encounter any problems when use AgentVerse, you can propose the issue in English. Beisdes, you can also autonomously ask us to assign issue to you and send the PR (Please follow the [PULL_REQUEST_TEMPLATE](https://github.com/OpenBMB/AgentVerse/blob/main/PULL_REQUEST_TEMPLATE.md)) after you solve it. 
 
 - **Code Development**: If you're an engineer, help us refine, optimize, and expand the current framework. We're always looking for talented developers to enhance our existing features and develop new modules.
 

agentverse/gui.py

@@ -41,7 +41,7 @@ def __init__(self, task: str, tasks_dir: str, ui_kwargs: Dict[str, str]):
         self.messages = []
         self.task = task
         self.ui_kwargs = ui_kwargs
-        if task == "pipeline_brainstorming":
+        if task == "tasksolving/brainstorming":
             self.backend = TaskSolving.from_task(task, tasks_dir)
         else:
             self.backend = Simulation.from_task(task, tasks_dir)
@@ -60,9 +60,9 @@ def __init__(self, task: str, tasks_dir: str, ui_kwargs: Dict[str, str]):
     def get_avatar(self, idx):
         if idx == -1:
             img = cv2.imread(f"{IMG_PATH}/db_diag/-1.png")
-        elif self.task == "prisoner_dilemma":
+        elif self.task == "simulation/prisoner_dilemma":
             img = cv2.imread(f"{IMG_PATH}/prison/{idx}.png")
-        elif self.task == "db_diag":
+        elif self.task == "simulation/db_diag":
             img = cv2.imread(f"{IMG_PATH}/db_diag/{idx}.png")
         elif "sde" in self.task:
             img = cv2.imread(f"{IMG_PATH}/sde/{idx}.png")
@@ -164,9 +164,9 @@ def reset(self, stu_num=0):
         self.backend.reset()
         self.turns_remain = self.backend.environment.max_turns
 
-        if self.task == "prisoner_dilemma":
+        if self.task == "simulation/prisoner_dilemma":
             background = cv2.imread(f"{IMG_PATH}/prison/case_1.png")
-        elif self.task == "db_diag":
+        elif self.task == "simulation/db_diag":
             background = cv2.imread(f"{IMG_PATH}/db_diag/background.png")
         elif "sde" in self.task:
             background = cv2.imread(f"{IMG_PATH}/sde/background.png")
@@ -201,7 +201,7 @@ def gen_img(self, data: List[Dict]):
         # if len(data) != self.stu_num:
         if len(data) != self.stu_num + 1:
             raise gr.Error("data length is not equal to the total number of students.")
-        if self.task == "prisoner_dilemma":
+        if self.task == "simulation/prisoner_dilemma":
             img = cv2.imread(f"{IMG_PATH}/speaking.png", cv2.IMREAD_UNCHANGED)
             if (
                 len(self.messages) < 2
@@ -219,7 +219,7 @@ def gen_img(self, data: List[Dict]):
                 cover_img(background, img, (550, 480))
             if data[2]["message"] != "":
                 cover_img(background, img, (550, 880))
-        elif self.task == "db_diag":
+        elif self.task == "simulation/db_diag":
             background = cv2.imread(f"{IMG_PATH}/db_diag/background.png")
             img = cv2.imread(f"{IMG_PATH}/db_diag/speaking.png", cv2.IMREAD_UNCHANGED)
             if data[0]["message"] != "":
@@ -262,7 +262,9 @@ def gen_img(self, data: List[Dict]):
                         img = cv2.imread(f"{IMG_PATH}/hand.png", cv2.IMREAD_UNCHANGED)
                         cover_img(background, img, (h_begin - 90, w_begin + 10))
                     elif data[stu_cnt]["message"] not in ["", "[RaiseHand]"]:
-                        img = cv2.imread(f"{IMG_PATH}/speaking.png", cv2.IMREAD_UNCHANGED)
+                        img = cv2.imread(
+                            f"{IMG_PATH}/speaking.png", cv2.IMREAD_UNCHANGED
+                        )
                         cover_img(background, img, (h_begin - 90, w_begin + 10))
 
                 else:
@@ -274,7 +276,7 @@ def return_format(self, messages: List[Message]):
         _format = [{"message": "", "sender": idx} for idx in range(len(self.agent_id))]
 
         for message in messages:
-            if self.task == "db_diag":
+            if self.task == "simulation/db_diag":
                 content_json: dict = message.content
                 content_json[
                     "diagnose"
@@ -342,7 +344,7 @@ def gen_message(self):
                 avatar = self.get_avatar(-1)
             else:
                 avatar = self.get_avatar((sender - 1) % 11 + 1)
-            if self.task == "db_diag":
+            if self.task == "simulation/db_diag":
                 msg_json = json.loads(msg)
                 self.solution_status = [False] * self.tot_solutions
                 msg = msg_json["diagnose"]
@@ -421,7 +423,7 @@ def submit(self, message: str):
         return self.gen_img([{"message": ""}] * len(self.agent_id)), self.gen_message()
 
     def launch(self, single_agent=False, discussion_mode=False):
-        if self.task == "pipeline_brainstorming":
+        if self.task == "tasksolving/brainstorming":
             with gr.Blocks() as demo:
                 chatbot = gr.Chatbot(height=800, show_label=False)
                 msg = gr.Textbox(label="Input")
@@ -478,7 +480,7 @@ def respond(message, chat_history):
                 # stu_num = gr.Number(label="Student Number", precision=0)
                 # stu_num = self.stu_num
 
-                if self.task == "db_diag":
+                if self.task == "simulation/db_diag":
                     user_msg = gr.Textbox()
                     submit_btn = gr.Button("Submit", variant="primary")