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from transformers import pipeline | |
import gradio as gr | |
title = "Συμπλήρωση κειμένου με το μοντέλο GPT2" | |
description = "Ένα απλό gradio demo για να δούμε πως φτιάχνουμε εύκολα A.I. εφαρμογές με την χρήση των Pipelines" | |
examples = [ | |
["Mike was the famous space mouse"], | |
["The Earth's perimeter is"], | |
["You will never believe what happened yesterday on my way back home."], | |
] | |
model = pipeline("text-generation" , model="gpt2") | |
def predict(prompt): | |
completion = model(prompt)[0]["generated_text"] | |
return completion | |
gr.Interface( | |
fn=predict, | |
inputs="text", | |
outputs="text", | |
title=title, | |
description=description, | |
examples=examples, | |
enable_queue=True, | |
).launch() |