import gradio as gr
from transformers import pipeline

generator = pipeline('text-generation', model='gpt2')

def generate(text):
    classifier = pipeline("sentiment-analysis")
    result = classifier(text)
    return result

examples = [
    ["SE is the best company in the world!"],
    ["GE is the worst company in the world!"],
]

demo = gr.Interface(
    fn=generate,
    inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
    outputs=gr.outputs.Textbox(label="Generated Text"),
    examples=examples
)

demo.launch()