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import gradio as gr | |
from transformers import pipeline | |
# Load the Meta-Llama-3.1-8B-Instruct-GGUF model | |
model_name = "lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF" | |
model = pipeline("text-generation", model=model_name, device=-1) # -1 for CPU | |
# Define the Gradio interface | |
def generate_text(prompt): | |
output = model(prompt)[0]["generated_text"] | |
return output | |
iface = gr.Interface( | |
fn=generate_text, | |
inputs=gr.Textbox(label="Prompt"), | |
outputs=gr.Textbox(label="Generated Text"), | |
title="Meta-Llama-3.1-8B-Instruct-GGUF Text Generation", | |
description="Enter a prompt to generate text using the Meta-Llama-3.1-8B-Instruct-GGUF model.", | |
) | |
# Launch the Gradio app | |
iface.launch() |