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from transformers import pipeline | |
import gradio as gr | |
pipe1 = pipeline(model = "meta-llama/Llama-3.2-1B-Instruct") | |
#pipe2 = pipeline(model = "meta-llama/Llama-3.2-3B-Instruct") | |
def inference(input): | |
output = pipe1( | |
text_inputs = input | |
) | |
return output[0]['generated_text'][len(input):] | |
app = gr.Interface( | |
fn = inference, | |
inputs = [gr.Textbox(label = "Input")], | |
outputs = [gr.Textbox(label = "Output")], | |
title = "Demo", | |
examples = [ | |
["Hello, Llama."] | |
] | |
).launch() |