Spaces:
Sleeping
Sleeping
File size: 2,373 Bytes
94bd001 |
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 |
import gradio as gr
import pandas as pd
with gr.Blocks() as demo:
dataset_df = {}
state = gr.State(value=0)
with gr.Row():
gr.Markdown("# Distributed Evaluation Parallel ๐")
with gr.Row():
file = gr.File(label="Upload a file")
prev = gr.Button(value="Previous")
next = gr.Button(value="Next")
download = gr.File(label="Download a file")
with gr.Row():
with gr.Column():
question = gr.Textbox(label="Question")
with gr.Column():
ground_truth = gr.Textbox(label="GT")
with gr.Column():
prediction = gr.Textbox(label="Prediction")
score = gr.Radio(choices=["Incorrect", "Correct"], label="Score")
with gr.Row():
todos = gr.DataFrame()
done = gr.DataFrame()
def csv2df(file):
df = pd.read_csv(file.name)
df['score'] = None
df_dict = df.to_dict('records')
dataset_df.update(dict(df=df, df_dict=df_dict))
return update()
def prev_func(score):
df_dict = dataset_df['df_dict']
state.value = max(state.value - 1, 0)
score = df_dict[state.value]['score']
gr.Info(f"์ด {len(dataset_df['df'])}๊ฐ ์ค์ {state.value + 1}๋ฒ์งธ ๋ฐ์ดํฐ์
๋๋ค.")
return [*update(), score]
def next_func(score):
df_dict = dataset_df['df_dict']
df_dict[state.value]['score'] = score
state.value = min(state.value + 1, len(dataset_df['df']) - 1)
score = df_dict[state.value]['score']
gr.Info(f"์ด {len(dataset_df['df'])}๊ฐ ์ค์ {state.value + 1}๋ฒ์งธ ๋ฐ์ดํฐ์
๋๋ค.")
return [*update(), score]
def update():
df_dict = dataset_df['df_dict']
q = df_dict[state.value]['question']
g = df_dict[state.value]['answer']
p = df_dict[state.value]['prediction']
df = pd.DataFrame(df_dict)
todos = df[df.score.isna()]
done = df[df.score.isna() == False]
return q, g, p, todos, done, "data_backup.csv"
file.upload(csv2df, file, [question, ground_truth, prediction, todos, done, download])
prev.click(prev_func, [score], [question, ground_truth, prediction, todos, done, download, score])
next.click(next_func, [score], [question, ground_truth, prediction, todos, done, download, score])
demo.queue()
demo.launch() |