app.py

import gradio as gr



# Use a pipeline as a high-level helper
from transformers import pipeline

def llama3_1_8B(question):
    messages = [
    {"role": "user", "content": question},
    ]
    pipe = pipeline("text-generation", model="meta-llama/Llama-3.1-8B-Instruct")
    responses = pipe(messages)
    return str(responses)

def greet(name):
    return "Hello " + name + "!!???"

demo = gr.Interface(fn=llama3_1_8B, inputs="text", outputs="text")
demo.launch()