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| import gradio as gr | |
| from transformers import pipeline | |
| # Load GPT-2 text-generation pipeline | |
| generator = pipeline("text-generation", model="gpt2") | |
| # Function to generate text from user input | |
| def generate_text(prompt): | |
| result = generator(prompt, max_length=100, num_return_sequences=1) | |
| return result[0]['generated_text'] | |
| # Create a Gradio web interface | |
| demo = gr.Interface(fn=generate_text, inputs="text", outputs="text", title="AI Text Generator (GPT-2)") | |
| demo.launch() |