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import gradio as gr | |
from transformers import pipeline | |
# Initialize the model and pipeline | |
generate_text = pipeline( | |
model="Stevross/Astrid-3B", | |
task="text-generation", | |
trust_remote_code=True, | |
device=1 # Use GPU if available, otherwise CPU | |
) | |
def generate_response(prompt): | |
response = generate_text(prompt, max_length=150) | |
return response[0]['generated_text'] | |
# Define Gradio interface | |
interface = gr.Interface( | |
fn=generate_response, | |
inputs=gr.inputs.Textbox(lines=5, placeholder="Enter your prompt here..."), | |
outputs=gr.outputs.Textbox(), | |
live=True, | |
title="Stevross/Astrid-3B", | |
description="An interactive demo of the Stevross/Astrid-3B model from Hugging Face." | |
) | |
interface.launch(share=True) | |