from transformers import AutoTokenizer, AutoModelForCausalLM
import gradio as gr

tokenizer = AutoTokenizer.from_pretrained("ahmadmac/Pretrained-GPT2")
model = AutoModelForCausalLM.from_pretrained("ahmadmac/Pretrained-GPT2")


def generate_text(prompt):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(**inputs, max_length=50)
    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return generated_text

iface = gr.Interface(
    fn=generate_text,
    inputs="text",
    outputs="text",
    title="GPT-2 Text Generator",
    description="Enter a prompt to generate text using GPT-2"
)

iface.launch()