app.py

"""
# Inference

import gradio as gr

app = gr.load(
    "meta-llama/Llama-3.2-3B-Instruct",
    src = "models",
    inputs = [gr.Textbox(label = "Input")],
    outputs = [gr.Textbox(label = "Output")],
    title = "Meta Llama",
    description = "Inference",
    examples = [
        ["Hello, World."]
    ]
).launch()
"""

# Pipeline

import gradio as gr
from transformers import pipeline

pipe = pipeline(model = "meta-llama/Llama-3.2-3B-Instruct")

def fn(input):
    output = pipe(
        input,
        max_new_tokens = 2048
    )
    return output[0]["generated_text"]#[len(input):]

app = gr.Interface(
    fn = fn,
    inputs = [gr.Textbox(label = "Input")],
    outputs = [gr.Textbox(label = "Output")],
    title = "Meta Llama",
    description = "Pipeline",
    examples = [
        ["Hello, World."]
    ]
).launch()