import gradio as gr
import pandas as pd
import requests
from io import StringIO

# Dataset'inizi Hugging Face Hub'dan indirin
def download_file(url):
    response = requests.get(url)
    response.raise_for_status()
    return StringIO(response.text)

dataset_url = "https://huggingface.co/datasets/ta2cay/caycuma_info/resolve/main/caycuma_info.csv"
data = pd.read_csv(download_file(dataset_url))

# Soruya cevap veren fonksiyon
def answer_question(question):
    response = data[data["Soru"].str.contains(question, case=False, na=False)]
    if not response.empty:
        return response.iloc[0]["Cevap"]
    else:
        return "Bu soruya dair bir bilgi bulamadım."

# Gradio arayüzü
iface = gr.Interface(
    fn=answer_question,
    inputs=gr.Textbox(lines=2, placeholder="Sorunuzu buraya yazın...", label="Soru"),
    outputs="text",
    title="Çaycuma Bilgi Modeli",
    description="Çaycuma ile ilgili sorularınızı sorun",
    theme="default"
)

if __name__ == "__main__":
    iface.launch()