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.codespellrc

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[DEFAULT]
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skip = *.png,*.jpg,*.jpeg,*.gif,*.bmp,*.tiff,*.ico,*ipynb
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skip = *.png,*.jpg,*.jpeg,*.gif,*.bmp,*.tiff,*.ico,*.ipynb

amadeusgpt/app_utils.py

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@@ -178,7 +178,7 @@ def render(self, debug = False):
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if qa_message["error_message"] is not None:
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# make the error message more visible with different color
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st.markdown(f"Error: {qa_message['error_message']}\n ")
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# Remind users we are fixing the error by self debuging
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# Remind users we are fixing the error by self debugging
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st.markdown(f"Let me try to fix the error by self-debugging\n ")
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if not debug:
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sandbox.llms["self_debug"].speak(sandbox)

amadeusgpt/implementation.py

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INTEGRATION_API_REGISTRY)
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"""
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write a class called FuncObj that inhertis from pydantic BaseModel that takes a function string,
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write a class called FuncObj that inherits from pydantic BaseModel that takes a function string,
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use AST to parse the function string to input and output types, function name, args, kwargs, and function body
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"""
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@@ -48,7 +48,7 @@ def __init__(self, config, use_cache=False):
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self.relationship_manager = RelationshipManager(
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config, self.animal_manager, self.object_manager, use_cache=use_cache
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)
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# event manager needs refernce to object_manager, animal_manager, and relationship_manager
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# event manager needs reference to object_manager, animal_manager, and relationship_manager
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self.event_manager = EventManager(
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config,
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self.object_manager,

amadeusgpt/main.py

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@@ -39,7 +39,7 @@ def __init__(self, config: Dict[str, Any]):
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self.smart_loading = False
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self.load_module_top_k = 3
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self.module_threshold = 0.3
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### fileds that serve as important storage
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### fields that serve as important storage
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# for long-term memory
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self.integration_module_hub = IntegrationModuleHub(config)
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#### sanbox that actually takes query and executes the code

amadeusgpt/managers/visual_manager.py

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@@ -312,7 +312,7 @@ def get_ethogram_visualization(
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axs: Optional[plt.Axes] = None,
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):
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"""
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By default, it show just diplays the ethogram according
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By default, it show just dislays the ethogram according
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to the output of the task program.
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However, since every event contains the information about the object, receiver animal and sender animal
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We can still make it more informative if we want

amadeusgpt/programs/task_program_registry.py

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@@ -26,7 +26,7 @@ class TaskProgram:
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All the function body in the json_obj should look like following:
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The task program usually involve with a series of API calls and return a list of events
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The LLM agent should be able to craft, reuse task program for abitrary tasks
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The LLM agent should be able to craft, reuse task program for arbitrary tasks
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def task_program_name(config) -> List[BaseEvent]:
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analysis = AnimalBehaviorAnalysis(config)

amadeusgpt/system_prompts/visual_llm.py

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@@ -9,7 +9,7 @@ def _get_system_prompt():
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"background_objects":
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}
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```
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The "descrition" has high level description of the image.
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The "description" has high level description of the image.
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The "individuals" indicates the number of animals in the image
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The "species" indicates the species of the animals in the image. You can only choose from one of "topview_mouse", "sideview_quadruped" or "others".
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The "background_objects" is a list of background objects in the image.

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