release: v0.1.5.4 and update dependency (#688)

README.md

@@ -110,7 +110,7 @@ conda create --name camel python=3.9
 conda activate camel
 
 # Clone github repo
-git clone -b v0.1.5.3 https://github.com/camel-ai/camel.git
+git clone -b v0.1.5.4 https://github.com/camel-ai/camel.git
 
 # Change directory into project directory
 cd camel

docs/conf.py

@@ -27,7 +27,7 @@
 project = 'CAMEL'
 copyright = '2023, CAMEL-AI.org'
 author = 'CAMEL-AI.org'
-release = '0.1.5.3'
+release = '0.1.5.4'
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration

docs/get_started/setup.md

@@ -61,7 +61,7 @@ conda create --name camel python=3.10
 conda activate camel
 
 # Clone github repo
-git clone -b v0.1.5.3 https://github.com/camel-ai/camel.git
+git clone -b v0.1.5.4 https://github.com/camel-ai/camel.git
 
 # Change directory into project directory
 cd camel

examples/bots/discord_bot.py

@@ -186,10 +186,12 @@ async def on_message(self, message: 'Message') -> None:
     )
     # Uncommented the folowing code and offer storage information
     # for RAG functionality
+
     # auto_retriever = AutoRetriever(
-    #     url_and_api_key=("Your QDRANT URI", "Your QDRANT Token"),
+    #     vector_storage_local_path="examples/bots",
     #     storage_type=StorageType.QDRANT,
     # )
+
     bot = DiscordBot(
         agent,
         # auto_retriever=auto_retriever,

examples/function_call/github_examples.py

@@ -60,14 +60,19 @@ def write_weekly_pr_summary(repo_name, model=None):
         of an open source project {repo_name} on the project's blog.
         """,
     )
-    assistant_model_config = ChatGPTConfig(
-        tools=[OpenAIFunction(toolkit.retrieve_pull_requests)],
-        temperature=0.0,
+    assistant_model_config_dict = ChatGPTConfig(
+        tools=[OpenAIFunction(toolkit.retrieve_pull_requests)], temperature=0.0
+    ).__dict__
+
+    assistant_model = ModelFactory.create(
+        model_platform=ModelPlatformType.OPENAI,
+        model_type=ModelType.GPT_4O,
+        model_config_dict=assistant_model_config_dict,
     )
+
     agent = ChatAgent(
         assistant_sys_msg,
-        model_type=model,
-        model_config=assistant_model_config,
+        model=assistant_model,
         tools=[OpenAIFunction(toolkit.retrieve_pull_requests)],
     )
     agent.reset()
@@ -109,15 +114,17 @@ def solve_issue(
         content="""You are an experienced software engineer who 
         specializes on data structures and algorithms tasks.""",
     )
-    assistant_model_config = ChatGPTConfig(
+    assistant_model_config_dict = ChatGPTConfig(
         tools=toolkit.get_tools(),
         temperature=0.0,
-    )
+    ).__dict__
+
     model = ModelFactory.create(
         model_platform=ModelPlatformType.OpenAI,
         model_type=ModelType.GPT_3_5_TURBO,
-        model_config=assistant_model_config,
+        model_config_dict=assistant_model_config_dict,
     )
+
     agent = ChatAgent(
         assistant_sys_msg,
         model=model,

examples/function_call/openapi_function.py

@@ -15,6 +15,8 @@
 from camel.configs.openai_config import ChatGPTConfig
 from camel.functions import OPENAPI_FUNCS
 from camel.messages import BaseMessage
+from camel.models import ModelFactory
+from camel.types import ModelPlatformType, ModelType
 
 # Define system message
 sys_msg = BaseMessage.make_assistant_message(
@@ -23,14 +25,21 @@
 
 # Set model config
 tools = [*OPENAPI_FUNCS]
-model_config = ChatGPTConfig(
+model_config_dict = ChatGPTConfig(
     tools=tools,
     temperature=0.0,
+).__dict__
+
+model = ModelFactory.create(
+    model_platform=ModelPlatformType.OPENAI,
+    model_type=ModelType.GPT_4O,
+    model_config_dict=model_config_dict,
 )
 
 # Set agent
 camel_agent = ChatAgent(
     system_message=sys_msg,
+    model=model,
     tools=OPENAPI_FUNCS,
 )
 camel_agent.reset()

examples/vision/video_description.py

@@ -15,8 +15,9 @@
 from camel.agents import ChatAgent
 from camel.configs.openai_config import ChatGPTConfig
 from camel.messages import BaseMessage
+from camel.models import ModelFactory
 from camel.prompts.prompt_templates import PromptTemplateGenerator
-from camel.types import ModelType
+from camel.types import ModelPlatformType, ModelType
 from camel.types.enums import RoleType, TaskType
 
 # Define system message
@@ -28,17 +29,14 @@
     content=sys_msg_prompt,
 )
 
-# Set model config
-model_config = ChatGPTConfig(
-    temperature=0.0,
+model = ModelFactory.create(
+    model_platform=ModelPlatformType.OPENAI,
+    model_type=ModelType.GPT_4O,
+    model_config_dict=ChatGPTConfig().__dict__,
 )
 
 # Set agent
-camel_agent = ChatAgent(
-    sys_msg,
-    model_config=model_config,
-    model_type=ModelType.GPT_4O,
-)
+camel_agent = ChatAgent(sys_msg, model=model)
 
 # The video from YouTube can be found at the following link:
 # https://www.youtube.com/watch?v=kQ_7GtE529M

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "camel-ai"
-version = "0.1.5.3"
+version = "0.1.5.4"
 authors = ["CAMEL-AI.org"]
 description = "Communicative Agents for AI Society Study"
 readme = "README.md"
@@ -71,7 +71,7 @@ unstructured = { extras = ["all-docs"], version = "^0.10.30", optional = true }
 slack-sdk = { version = "^3.27.2", optional = true }
 pydub = { version = "^0.25.1", optional = true }
 pygithub = { version = "^2.3.0", optional = true }
-imageio = { version = "^2.34.1", optional = true }
+imageio = {extras = ["pyav"], version = "^2.34.2"}
 pyTelegramBotAPI = { version = "^4.18.0", optional = true }
 "discord.py" = { version = "^2.3.2", optional = true }