Spaces:
Build error
Build error
File size: 9,899 Bytes
1fdaf11 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 |
import gradio as gr
from src import argilla_utils
from src import dataset
from src import spaces
def refresh_dataset_settings_view(
columns,
question_columns,
field_columns,
split,
settings,
dataset_name,
argilla_dataset_name,
mapping,
):
"""This is a utility function to refresh the gradio applications state variables when a new dataset is loaded."""
columns = dataset.load_columns()
field_columns = dataset.get_field_columns()
question_columns = dataset.get_question_columns()
metadata_columns = []
vector_columns = []
split = dataset.load_split()
settings = None
dataset_name = dataset.load_dataset_name()
argilla_dataset_name = dataset.load_argilla_dataset_name()
mapping = None
return (
columns,
field_columns,
question_columns,
metadata_columns,
vector_columns,
split,
settings,
dataset_name,
argilla_dataset_name,
mapping,
)
with gr.Blocks() as app:
##############################################
# Define the app state
##############################################
columns = gr.State(dataset.load_columns)
question_columns = gr.State(dataset.get_question_columns)
field_columns = gr.State(dataset.get_field_columns)
split = gr.State(dataset.load_split)
settings = gr.State(None)
dataset_name = gr.State(dataset.load_dataset_name)
argilla_dataset_name = gr.State(dataset.load_argilla_dataset_name)
mapping = gr.State(None)
state_variables = [
columns,
question_columns,
field_columns,
split,
settings,
dataset_name,
argilla_dataset_name,
mapping,
]
##############################################
# Define the app dataset and argilla space
##############################################
gr.Markdown(
"""# 🚂 Argilla Direct
A direct connection from a Hub dataset to an Argilla dataset.
This app allows you to create an Argilla dataset from a Hugging Face dataset.
You will need to load a dataset from the Hugging Face Hub, create an Argilla space,
define the dataset's settings, and add records to the dataset.
"""
)
with gr.Group():
with gr.Row():
with gr.Column():
with gr.Row():
with gr.Column():
dataset_name_input = gr.Textbox(
label="Dataset Repo ID", value=dataset.load_dataset_name()
)
with gr.Column():
split_input = gr.Dropdown(
label="Dataset Split",
choices=dataset.load_split_choices(),
allow_custom_value=True,
value=dataset.load_split(),
)
load_dataset_btn = gr.Button(value="1️⃣ Load Dataset")
with gr.Column():
argilla_space_name = gr.Textbox(
label="Argilla Space Name", value=f"{dataset_name.value}_argilla"
)
create_argilla_space_btn = gr.Button(value="2️⃣ Create Argilla Space")
##############################################
# Define the Argilla dataset configuration
##############################################
gr.Markdown(
"""## 3️⃣ Define Argilla Dataset
Define the settings for the Argilla dataset including fields, questions, metadata, and vectors.
Select the columns from the Hugging Face dataset to be used as Argilla dataset attributes.
"""
)
with gr.Row():
with gr.Group():
with gr.Column():
# DATASET SETTINGS
# Argilla dataset name
argilla_dataset_name_view = gr.Textbox(
label="Dataset Name",
info="The name of the dataset in Argilla to be created or used",
value=dataset.load_argilla_dataset_name(),
)
argilla_dataset_name_view.change(
fn=lambda value: gr.update(
value=dataset.load_argilla_dataset_name()
),
inputs=[argilla_dataset_name_view],
outputs=[argilla_dataset_name_view],
)
# Field columns
field_columns_view = gr.Dropdown(
label="Field Columns",
info="Columns to be used as fields in the Argilla dataset",
choices=dataset.load_columns(),
multiselect=True,
value=dataset.get_field_columns(),
allow_custom_value=True,
)
field_columns_view.change(
fn=lambda value: gr.update(choices=dataset.load_columns()),
inputs=[field_columns_view],
outputs=[field_columns_view],
)
# Question columns
question_columns_view = gr.Dropdown(
label="Question Columns",
info="Columns to be used as question suggestions in the Argilla dataset",
choices=dataset.load_columns(),
multiselect=True,
value=dataset.get_field_columns(),
allow_custom_value=True,
)
question_columns_view.change(
fn=lambda value: gr.update(choices=dataset.load_columns()),
inputs=[question_columns_view],
outputs=[question_columns_view],
)
with gr.Accordion(label="Define New Questions", open=False):
with gr.Group():
with gr.Column():
question_type = gr.Dropdown(
label="Question Type",
info="The type of question to be added to the Argilla dataset",
choices=["Text", "Label", "Rating"],
)
with gr.Column():
question_name = gr.Textbox(
label="Question Name",
info="The name of the question to be added to the Argilla dataset",
)
with gr.Column():
gr.Button(value="Add Question").click(
fn=lambda type, name, questions: questions
+ [(type, name)],
inputs=[
question_type,
question_name,
question_columns_view,
],
outputs=[question_columns_view],
)
with gr.Accordion(label="Define Metadata and Vectors", open=False):
metadata_columns_view = gr.Dropdown(
label="Metadata Columns",
info="Columns to be used as metadata in the Argilla dataset",
choices=dataset.load_columns(),
multiselect=True,
)
vector_columns_view = gr.Dropdown(
label="Vector Columns",
info="Columns to be used as vectors in the Argilla dataset",
choices=dataset.load_columns(),
multiselect=True,
)
n_records = gr.Slider(1, 10000, 100, label="Number of Records")
create_argilla_dataset_btn = gr.Button(value="Create Argilla Dataset")
add_records_btn = gr.Button(value="Add Records to Argilla")
delete_dataset_btn = gr.Button(value="Delete Argilla Dataset")
with gr.Column():
dataset_view = gr.Dataframe(
label="Dataset Viewer",
column_widths="20%",
headers=columns.value,
wrap=True,
)
records_view = gr.Text(label="Status", value="")
##############################################
# Define the app logic
##############################################
load_dataset_btn.click(
fn=dataset.load_dataset_from_hub,
inputs=[dataset_name_input],
outputs=[dataset_view],
).then(
fn=refresh_dataset_settings_view,
inputs=state_variables,
outputs=[
columns,
question_columns_view,
field_columns_view,
split_input,
settings,
dataset_name,
argilla_dataset_name_view,
mapping,
],
)
create_argilla_space_btn.click(
fn=spaces.create_argilla_space,
inputs=[argilla_space_name],
outputs=[records_view],
)
delete_dataset_btn.click(
fn=argilla_utils.delete_dataset,
inputs=[argilla_dataset_name_view],
outputs=[records_view],
)
create_argilla_dataset_btn.click(
fn=argilla_utils.define_dataset_setting,
inputs=[
argilla_dataset_name_view,
field_columns_view,
question_columns_view,
metadata_columns_view,
vector_columns_view,
],
outputs=[records_view, mapping],
)
add_records_btn.click(
fn=argilla_utils.add_records,
inputs=[argilla_dataset_name_view, mapping, n_records],
outputs=[records_view],
)
if __name__ == "__main__":
app.launch()
|