app.py

import gradio as gr
from transformers import pipeline

generator = pipeline("text-generation", model="meta-llama/Llama-2-70b-chat-hf")

def generate(text):
    result = generator(text, max_length=300, num_return_sequences=1)
    return result[0]["generated_text"]

examples = [
    ["The Moon's orbit around Earth has"],
    ["The smooth Borealis basin in the Northern Hemisphere covers 40%"],
]

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()