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# now to create an interface with gradio
import gradio as gr
from transformers import pipeline
pipe = pipeline("text2text-generation", model="google/flan-t5-base")
# a function that uses the pipeline
# takes text as input and passes it to the pipeline
def chat(text):
output = pipe(text)[0]["generated_text"]
return output
# fucntion , input of type text , output of type text
demo = gr.Interface(chat , "text" , "text" )
demo.launch() |