import gradio as gr
from transformers import GPT2LMHeadModel, GPT2Tokenizer

model_name = "enzer1992/AI-Guru"
tokenizer = GPT2Tokenizer.from_pretrained(model_name)
model = GPT2LMHeadModel.from_pretrained(model_name)

def generate_text(prompt):
    inputs = tokenizer.encode(prompt, return_tensors="pt")
    outputs = model.generate(inputs, max_length=100, num_return_sequences=1)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

interface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
interface.launch()