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from transformers import pipeline
import textwrap
import time
import gradio as gr
# Load a pre-trained chatbot model
chatbot = pipeline("conversational")
def wrap(x):
return textwrap.fill(x, replace_whitespace=False, fix_sentence_endings=True)
def chat(prompt):
out = chatbot(prompt)
for i in wrap(out[0]['generated_text']):
print(i, end='')
time.sleep(0.2)
gr.Interface(fn=chat, inputs="text", outputs="text").launch()
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