app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

model = AutoModelForSeq2SeqLM.from_pretrained("memorease/memorease-flan-t5")
tokenizer = AutoTokenizer.from_pretrained("memorease/memorease-flan-t5")

def generate_question(description):
    prompt = f"Only generate a factual and relevant question about this memory: {description}"
    inputs = tokenizer(prompt, return_tensors="pt", padding=True, truncation=True)
    outputs = model.generate(**inputs, max_new_tokens=32)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

# ✅ DOĞRU Interface tanımı
demo = gr.Interface(
    fn=generate_question,
    inputs=gr.Textbox(label="Memory Description"),
    outputs=gr.Textbox(label="Generated Question"),
    allow_flagging="never",  # Opsiyonel: kullanıcı flag'lamasın diye
    live=False  # Gerek yoksa canlı inference yok
)

demo.launch(server_name="0.0.0.0", server_port=7860)