app.py

import os
import gradio as gr
from gradio import FlaggingCallback
from gradio.components import IOComponent

from datasets import load_dataset
from typing import List, Optional, Any
import argilla as rg
import os

def load_data(idx):
    df = load_dataset("merve/turkish_instructions", split="train").to_pandas()
    sample = df.iloc[int(idx)]
    instruction = sample[1]

    if sample[2]:
        input_sample = sample[2] 
    else:
        input_sample="-"
    response = sample[3]
    return instruction, input_sample, response


def create_record(instruction, inpu_sample, response, feedback):
    status = "Validated" if feedback == "Doğru" else "Default"
    fields = {
        "talimat": instruction, 
        "input": input_sample, 
        "response": response
    }
    
    # the label will come from the flag object in Gradio
    label = "True"
    
    record = rg.TextClassificationRecord(
        inputs=fields,
        annotation=label,
        status=status,
        metadata={"feedback": feedback}
    )
    
    print(record)
    return record




class ArgillaLogger(FlaggingCallback):
    def __init__(self, api_url, api_key, dataset_name):
        rg.init(api_url=api_url, api_key=api_key)
        self.dataset_name = dataset_name
    def setup(self, components: List[IOComponent], flagging_dir: str):
        pass
    def flag(
        self,
        flag_data: List[Any],
        flag_option: Optional[str] = None,
        flag_index: Optional[int] = None,
        username: Optional[str] = None,
    ) -> int:
        text = flag_data[0]
        inference = flag_data[1]
        rg.log(name=self.dataset_name, records=create_record(text, flag_option))


idx_input = gr.Slider(minimum=0, maximum=51564, label="Satır")
instruction = gr.Textbox(label="Talimat")
input_sample = gr.Textbox(label="Girdi")
response = gr.Textbox(label="Çıktı")


gr.Interface(
    load_data,
    title = "ALPACA Veriseti Düzeltme Arayüzü",
    description = "Bir satır sayısı verip örnek alın. Çeviride gözünüze doğru gelmeyen bir şey olursa işaretleyin.",
    allow_flagging="manual",
    flagging_callback=ArgillaLogger(
        api_url="https://sandbox.argilla.io", 
        api_key=os.getenv("API_KEY"), 
        dataset_name="alpaca-flags"
    ),
    inputs=[idx_input],
    outputs=[instruction, input_sample, response],
    flagging_options=["Doğru", "Yanlış", "Belirsiz"]
).launch()