import gradio as gr
import actions as a
from components import AITask, all_tasks, Tasks, VisitURL
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()
task_picker = gr.Dropdown(
[AITask.name, VisitURL.name],
value=AITask.name,
label="Pick a new Task",
type="index",
)
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=[task_picker] + Tasks.visibilities(),
outputs=Tasks.active_indexes() + 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()