import gradio as gr
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

model_name = "Binoddai/garud-puran-flan-t5-finetuned"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)

def answer_question(question):
    inputs = tokenizer(question, return_tensors="pt")
    output = model.generate(**inputs, max_new_tokens=128)
    answer = tokenizer.decode(output[0], skip_special_tokens=True)
    return answer

iface = gr.Interface(
    fn=answer_question,
    inputs=gr.Textbox(lines=2, label="Ask a question about Garuda Purana"),
    outputs=gr.Textbox(label="Model's Answer"),
    title="Garuda Purana Q&A (Flan-T5 Fine-tuned)",
    description="Ask any question and get an answer based on the fine-tuned Garuda Purana model."
)

iface.launch()