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from abc import ABC, abstractmethod |
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from concurrent.futures import ThreadPoolExecutor |
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from typing import Any, Dict, List, Union |
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import gradio as gr |
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import ai |
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class Component(ABC): |
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def __init__(self, id_: int): |
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self._id = id_ |
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self._source = self.__class__.__name__ |
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self.vname: str |
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self.component_id: gr.Number |
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self.gr_component: Union[gr.Box, gr.Textbox] |
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self.output: gr.Textbox |
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self.visible: gr.Number |
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def render(self) -> None: |
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self.component_id = gr.Number(value=self._id, visible=False) |
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self.visible = gr.Number(0, visible=False) |
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self.gr_component = self._render(self._id) |
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@abstractmethod |
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def _render(self, id_: int) -> Union[gr.Box, gr.Textbox]: |
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... |
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class Input(Component): |
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vname = "v" |
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def _render(self, id_: int) -> gr.Textbox: |
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self.output = gr.Textbox( |
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label=f"Input: {{{self.vname}{id_}}}", |
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interactive=True, |
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placeholder="Variable value", |
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visible=False, |
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) |
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return self.output |
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class TaskComponent(ABC): |
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vname = "t" |
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def __init__(self): |
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self.name: str |
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self.gr_component: gr.Box |
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self.input: gr.Textbox |
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self.output: gr.Textbox |
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self._source = self.__class__.__name__ |
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def render(self, id_: int) -> None: |
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self.gr_component = self._render(id_) |
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@property |
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@abstractmethod |
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def inputs(self) -> List[gr.Textbox]: |
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... |
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@property |
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def n_inputs(self) -> int: |
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return len(self.inputs) |
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@abstractmethod |
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def _render(self, id_) -> gr.Box: |
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... |
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@abstractmethod |
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def execute(self, *args, vars_in_scope: Dict[str, Any]): |
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... |
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class AITask(TaskComponent): |
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name = "AI Task" |
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def _render(self, id_: int) -> gr.Box: |
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with gr.Box(visible=False) as gr_component: |
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gr.Markdown("Send a message to ChatGPT.") |
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with gr.Row(): |
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self.input = gr.Textbox( |
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label="Prompt", |
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lines=10, |
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interactive=True, |
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placeholder="Example: summarize this text: {v0}", |
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) |
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self.output = gr.Textbox( |
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label=f"Output: {{{self.vname}{id_}}}", |
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lines=10, |
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interactive=True, |
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) |
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return gr_component |
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@property |
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def inputs(self) -> List[gr.Textbox]: |
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return [self.input] |
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def execute(self, prompt: str, vars_in_scope: Dict[str, Any]) -> str: |
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formatted_prompt = prompt.format(**vars_in_scope) |
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return ai.llm.next([{"role": "user", "content": formatted_prompt}]) |
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class CodeTask(TaskComponent): |
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name = "Code Task" |
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def _render(self, id_: int) -> gr.Column: |
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with gr.Column(visible=False) as gr_component: |
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code_prompt = gr.Textbox( |
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label="What would you like to do?", |
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interactive=True, |
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) |
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generate_code = gr.Button("Generate code") |
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with gr.Row(): |
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with gr.Column(): |
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with gr.Accordion(label="Generated code", open=False): |
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raw_prompt_output = gr.Textbox( |
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label="Raw output", |
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lines=5, |
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interactive=True, |
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) |
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self.packages = gr.Textbox( |
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label="The following packages will be installed", |
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interactive=True, |
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) |
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self.function = gr.Textbox( |
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label="Code to be executed", |
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lines=10, |
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interactive=True, |
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) |
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error_message = gr.HighlightedText(value=None, visible=False) |
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self.input = gr.Textbox( |
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label="Input to the code", |
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interactive=True, |
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) |
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with gr.Column(): |
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self.output = gr.Textbox( |
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label=f"Output: {{{self.vname}{id_}}}", |
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lines=10, |
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interactive=True, |
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) |
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generate_code.click( |
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self.generate_code, |
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inputs=[code_prompt], |
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outputs=[ |
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raw_prompt_output, |
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self.packages, |
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self.function, |
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error_message, |
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], |
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) |
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return gr_component |
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@staticmethod |
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def generate_code(code_prompt: str): |
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raw_prompt_output = "" |
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packages = "" |
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function = "" |
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error_message = gr.HighlightedText.update(None, visible=False) |
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if not code_prompt: |
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return ( |
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raw_prompt_output, |
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packages, |
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function, |
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error_message, |
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) |
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print(f"Generating code.") |
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try: |
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raw_prompt_output = ai.llm.next( |
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[ |
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{ |
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"role": "user", |
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"content": f""" |
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Write a python function for the following request: |
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{code_prompt} |
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Do't save anything to disk. Instead, the function should return the necessary data. |
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Include all the necessary imports. |
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""", |
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} |
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], |
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temperature=0, |
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) |
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def llm_call(prompt): |
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return ai.llm.next([{"role": "user", "content": prompt}], temperature=0) |
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with ThreadPoolExecutor(max_workers=2) as executor: |
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packages, function = tuple( |
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executor.map( |
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llm_call, |
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[ |
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f""" |
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The following text should have a python function with some imports that might need to be installed: |
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{raw_prompt_output} |
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Extract all the python packages, nothing else. Print them in a single python list that can be used with eval(). |
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""", |
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f""" |
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The following text should have a python function and some imports: |
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{raw_prompt_output} |
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Exclusively extract the function and the imports, nothing else, so that it can be used with exec(). |
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""", |
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], |
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) |
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) |
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except Exception as e: |
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error_message = gr.HighlightedText.update( |
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value=[(str(e), "ERROR")], visible=True |
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) |
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return ( |
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raw_prompt_output, |
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packages, |
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function, |
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error_message, |
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) |
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@property |
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def inputs(self) -> List[gr.Textbox]: |
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return [self.packages, self.function, self.input] |
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def execute( |
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self, packages: str, function: str, input: str, vars_in_scope: Dict[str, Any] |
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): |
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import subprocess |
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import sys |
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for p in eval(packages): |
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subprocess.check_call([sys.executable, "-m", "pip", "install", p]) |
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__import__(p) |
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exec(function, locals()) |
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self._toolkit_func = list(locals().items())[-1][1] |
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formatted_input = input.format(**vars_in_scope) |
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return self._toolkit_func(formatted_input) |
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class Task(Component): |
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available_tasks = [AITask, CodeTask] |
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vname = "t" |
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def __init__(self, id_: int): |
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super().__init__(id_) |
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self._inner_tasks = [t() for t in self.available_tasks] |
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self.gr_component: gr.Box |
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def _render(self, id_: int) -> gr.Box: |
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with gr.Box(visible=False) as gr_component: |
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self.active_index = gr.Dropdown( |
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[AITask.name, CodeTask.name], |
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label="Pick a new Task", |
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type="index", |
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) |
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for t in self._inner_tasks: |
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t.render(id_) |
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self.active_index.select( |
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self.pick_task, |
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inputs=[self.active_index], |
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outputs=[t.gr_component for t in self._inner_tasks], |
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) |
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return gr_component |
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@staticmethod |
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def pick_task(idx: int) -> List[Dict]: |
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update = [gr.Box.update(visible=False)] * len(Task.available_tasks) |
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update[idx] = gr.Box.update(visible=True) |
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return update |
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@property |
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def inputs(self) -> List[gr.Textbox]: |
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return [i for t in self._inner_tasks for i in t.inputs] |
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@property |
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def outputs(self) -> List[gr.Textbox]: |
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return [t.output for t in self._inner_tasks] |
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@property |
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def inner_n_inputs(self) -> List[int]: |
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return [t.n_inputs for t in self._inner_tasks] |
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def execute(self, active_index, *args, vars_in_scope: Dict[str, Any]): |
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inner_task = self._inner_tasks[active_index] |
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print(f"Executing {self._source}: {self._id}") |
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return inner_task.execute(*args, vars_in_scope) |
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MAX_TASKS = 10 |
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all_tasks = {i: Task(i) for i in range(MAX_TASKS)} |
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class Tasks: |
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@classmethod |
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def visibilities(cls) -> List[gr.Number]: |
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return [t.visible for t in all_tasks.values()] |
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@classmethod |
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def active_indexes(cls) -> List[gr.Dropdown]: |
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return [t.active_index for t in all_tasks.values()] |
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@classmethod |
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def gr_components(cls) -> List[gr.Box]: |
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return [t.gr_component for t in all_tasks.values()] |
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