import gradio as gr import actions as a from components import all_tasks, Tasks with gr.Blocks() as demo: # Initial layout gr.Markdown( """ # Toolkit Define input variables to be used in your tasks.
Task outputs can be used in subsequent tasks.
5 input variables and 10 tasks allowed (for now).

AI tasks call into ChatGPT to perform actions.
Chain inputs and tasks to build an E2E application.

Example prompt: "Translate the following text into spanish and add {v0} more sentences: {t0}". """ ) for t in all_tasks.values(): t.render() with gr.Row(): add_task_btn = gr.Button("Add task") remove_task_btn = gr.Button("Remove task") error_message = gr.HighlightedText(value=None, visible=False) execute_btn = gr.Button("Execute") # Edit layout add_task_btn.click( a.add_task, inputs=Tasks.visibilities(), outputs=Tasks.gr_components() + Tasks.visibilities(), ) remove_task_btn.click( a.remove_task, inputs=Tasks.visibilities(), outputs=Tasks.gr_components() + Tasks.visibilities(), ) # Sequential execution execution_event = execute_btn.click( # Clear error message lambda: gr.HighlightedText.update(value=None, visible=False), inputs=[], outputs=[error_message], ) prev_tasks = [] for i, task in all_tasks.items(): execution_event = execution_event.then( a.execute_task, inputs=[task.component_id, task.active_index, error_message] + task.inputs + [t.active_index for t in prev_tasks] + [o for t in prev_tasks for o in t.outputs], outputs=task.outputs + [error_message], ) prev_tasks.append(task) demo.launch()