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import gradio as gr
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="mosaicml/mpt-7b-instruct", trust_remote_code=True)
def greet(name):
return pipe('who is the president of USA')
# greet('df')
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch() |