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from transformers import pipeline | |
import gradio as gr | |
# First define a prediction function that takes in a text prompt and returns the text completion | |
model = pipeline('text-generation') | |
def predict(prompt): | |
completion = model(prompt)[0]['generated_text'] | |
return completion | |
# Now create the interface | |
gr.Interface(fn=predict, inputs="text", outputs="text", css=".footer{display:none !important}").launch() | |