app.py

import gradio as gr
import markovify

with open('trond.txt') as f:
    trondcorpus = f.read()

text_model = markovify.NewlineText(trondcorpus, state_size=3)

#trondmodel_file = open('trond.pkl', 'wb')
#text_model = text_model.compile('trond.pkl')
#here we define a model unloader, so we can unload models after each use
#def unload_model(model):
#    del model
#    unload_model(text_model)

#with open ("trond.pkl", "rb") as f:
#            loaded_trond = pickle.load(f)
#        await ctx.send(loaded_trond.make_sentence(tries=100))
#        unload_model(loaded_trond)

def redtalk(text):
#    return "Hello " + name + "!!"
    text = text_model.make_sentence(tries=100)
    return text


iface = gr.Interface(fn=redtalk, inputs="text", outputs="text")
iface.launch()