app.py

import gradio as gr
import pandas as pd
import json

keys = ['review', 'domain', 'label']
keys_types = ["str", "str", "number"]

path = 'data/'
default_json = path + 'hola_0.jsonl'

df_test = pd.DataFrame({'review': 'hola', 'domain': 'house', 'label': 1},  index=[0])
data, df = None, None

def process_jsonl(temp_file):
    json_file = default_json
    if isinstance(temp_file, str):
        json_file = temp_file
    df = pd.read_json(json_file, lines=True)
    print(df[:9], df.shape)
    return df

with gr.Blocks() as demo:

    upload_button = gr.UploadButton(
        label="upload jsonl",
        file_types = ['.jsonl', '.json'],
        # live=True,
        file_count = "single"
    )
    table = gr.Dataframe(
        headers=keys,
        datatype=keys_types,
        col_count=(3, "fixed"),
        row_count=(6, 'fixed'),
        # value=process_jsonl(default_json),
        type="pandas",
        visible=True,
        interactive=False
    )
    upload_button.upload(
        fn=process_jsonl,
        inputs=upload_button,
        outputs=table,
        api_name="upload_jsonl"
    )
    dff = df[0] if df else df_test
    r = gr.TextArea(label="review", type='text', show_label=True, value=dff.review)
    d = gr.Textbox(label="domain", type='text', show_label=True, value=dff.domain)

    with gr.Row():
        true_btn = gr.Button("True")
        false_btn = gr.Button("False")
    l = gr.Textbox(label="label")

    def ann(num1, num2):
        return num1 + num2

    true_btn.click(ann, inputs=[r, d], outputs=l)
    false_btn.click(ann, inputs=[r, d], outputs=l)


    # def sub(data):
    #     return data[r] - data[d]
    # false_btn.click(sub, inputs={r, d}, outputs=l)
    # def annotate_label(df: pd.DataFrame, column: str = 'label') -> int:
    #     df[column] = inputt
    #     return df[column]
    #
    # iface = gr.Interface(
    #     fn=annotate_label,  # the function to call
    #     inputs=[gr.inputs.Dataframe(headers=df.columns.tolist(), datatype=df.dtypes.tolist()), gr.inputs.Textbox()],
    #     # the inputs
    #     outputs="number"  # the output type
    # )

demo.launch(debug=True)