app.py

import gradio as gr
from transformers import T5Tokenizer, T5ForConditionalGeneration


model_name = "cuneytkaya/fine-tuned-t5-small-turkish-mmlu"
tokenizer = T5Tokenizer.from_pretrained(model_name)
model = T5ForConditionalGeneration.from_pretrained(model_name)

def generate_answer(question):
    input_text = f"Soru: {question}"
    inputs = tokenizer(input_text, return_tensors="pt")
    outputs = model.generate(**inputs)
    answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return answer

# Gradio arayüzü
interface = gr.Interface(
    fn=generate_answer,
    inputs="text",
    outputs="text",
    title="Turkish Exam Question Answering Model",
    description="This model answers questions from Turkish academic exams like KPSS, TUS, etc.",
)

interface.launch()