app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("skminhajuddin20/Texttoimage")
model = AutoModelForCausalLM.from_pretrained("skminhajuddin20/Texttoimage")

def generate(prompt):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(**inputs)
    return tokenizer.decode(outputs[0])

demo = gr.Interface(fn=generate, inputs="text", outputs="text")
demo.launch()