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import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM
# Load model and tokenizer
model_name = "gpt2" # or "gpt2-medium" for a larger model
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
def generate_text(prompt):
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=100)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
# Create Gradio interface
iface = gr.Interface(
fn=generate_text,
inputs="text",
outputs="text",
title="GPT-2 Text Generation",
description="Enter a prompt to generate text using GPT-2."
)
iface.launch()