cuneytkaya's picture
Update app.py
936ecd6 verified
raw
history blame contribute delete
955 Bytes
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, max_length=50, num_beams=4, early_stopping=True)
answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
if "Cevap:" in answer:
return answer.split("Cevap:")[1].strip()
return answer
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(share=True)