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from typing import List
import gradio as gr
import pandas as pd
from src.distilabel_dataset_generator.apps.base import (
get_main_ui,
get_pipeline_code_ui,
hide_success_message,
push_dataset_to_hub,
push_pipeline_code_to_hub,
show_success_message_argilla,
show_success_message_hub,
validate_argilla_user_workspace_dataset,
)
from src.distilabel_dataset_generator.pipelines.textcat import (
DEFAULT_DATASET_DESCRIPTIONS,
DEFAULT_DATASETS,
DEFAULT_SYSTEM_PROMPTS,
generate_pipeline_code,
)
def push_dataset_to_argilla(dataset: pd.DataFrame, dataset_name: str) -> pd.DataFrame:
return dataset
def generate_system_prompt(dataset_description: str) -> str:
return dataset_description
def generate_dataset(
system_prompt: str, labels: List[str], multi_label: bool
) -> pd.DataFrame:
return pd.DataFrame({"prompt": [system_prompt], "completion": [system_prompt]})
(
app,
main_ui,
custom_input_ui,
dataset_description,
examples,
btn_generate_system_prompt,
system_prompt,
sample_dataset,
btn_generate_sample_dataset,
dataset_name,
add_to_existing_dataset,
btn_generate_full_dataset_copy,
btn_generate_and_push_to_argilla,
btn_push_to_argilla,
org_name,
repo_name,
private,
btn_generate_full_dataset,
btn_generate_and_push_to_hub,
btn_push_to_hub,
final_dataset,
success_message,
) = get_main_ui(
default_dataset_descriptions=DEFAULT_DATASET_DESCRIPTIONS,
default_system_prompts=DEFAULT_SYSTEM_PROMPTS,
default_datasets=DEFAULT_DATASETS,
fn_generate_system_prompt=generate_system_prompt,
fn_generate_dataset=generate_dataset,
)
with app:
with main_ui:
with custom_input_ui:
labels = gr.Dropdown(
choices=[],
allow_custom_value=True,
interactive=True,
label="Labels",
multiselect=True,
)
num_labels = gr.Number(
label="Number of labels", value=2, minimum=1, maximum=10
)
num_rows = gr.Number(
label="Number of rows", value=10, minimum=1, maximum=500
)
pipeline_code = get_pipeline_code_ui(
generate_pipeline_code(system_prompt.value, labels.value, multi_label.value)
)
# define app triggers
gr.on(
triggers=[
btn_generate_full_dataset.click,
btn_generate_full_dataset_copy.click,
],
fn=hide_success_message,
outputs=[success_message],
).then(
fn=generate_dataset,
inputs=[system_prompt, labels, multi_label],
outputs=[final_dataset],
show_progress=True,
)
btn_generate_and_push_to_argilla.click(
fn=validate_argilla_user_workspace_dataset,
inputs=[dataset_name, final_dataset, add_to_existing_dataset],
outputs=[final_dataset],
show_progress=True,
).success(
fn=hide_success_message,
outputs=[success_message],
).success(
fn=generate_dataset,
inputs=[system_prompt, labels, multi_label],
outputs=[final_dataset],
show_progress=True,
).success(
fn=push_dataset_to_argilla,
inputs=[final_dataset, dataset_name],
outputs=[final_dataset],
show_progress=True,
).success(
fn=show_success_message_argilla,
inputs=[],
outputs=[success_message],
)
btn_generate_and_push_to_hub.click(
fn=hide_success_message,
outputs=[success_message],
).then(
fn=generate_dataset,
inputs=[system_prompt, labels, multi_label],
outputs=[final_dataset],
show_progress=True,
).then(
fn=push_dataset_to_hub,
inputs=[final_dataset, private, org_name, repo_name],
outputs=[final_dataset],
show_progress=True,
).then(
fn=push_pipeline_code_to_hub,
inputs=[pipeline_code, org_name, repo_name],
outputs=[],
show_progress=True,
).success(
fn=show_success_message_hub,
inputs=[org_name, repo_name],
outputs=[success_message],
)
btn_push_to_hub.click(
fn=hide_success_message,
outputs=[success_message],
).then(
fn=push_dataset_to_hub,
inputs=[final_dataset, private, org_name, repo_name],
outputs=[final_dataset],
show_progress=True,
).then(
fn=push_pipeline_code_to_hub,
inputs=[pipeline_code, org_name, repo_name],
outputs=[],
show_progress=True,
).success(
fn=show_success_message_hub,
inputs=[org_name, repo_name],
outputs=[success_message],
)
btn_push_to_argilla.click(
fn=hide_success_message,
outputs=[success_message],
).success(
fn=validate_argilla_user_workspace_dataset,
inputs=[dataset_name, final_dataset, add_to_existing_dataset],
outputs=[final_dataset],
show_progress=True,
).success(
fn=push_dataset_to_argilla,
inputs=[final_dataset, dataset_name],
outputs=[final_dataset],
show_progress=True,
).success(
fn=show_success_message_argilla,
inputs=[],
outputs=[success_message],
)
system_prompt.change(
fn=generate_pipeline_code,
inputs=[system_prompt, labels, multi_label],
outputs=[pipeline_code],
)
labels.change(
fn=generate_pipeline_code,
inputs=[system_prompt, labels, multi_label],
outputs=[pipeline_code],
)
multi_label.change(
fn=generate_pipeline_code,
inputs=[system_prompt, labels, multi_label],
outputs=[pipeline_code],
)
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