zaglyt-api / app.py
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import gradio as gr
import random
import markovify
def gen(text):
text = text.lower()
file_name = "./dataset.txt"
with open(file_name, "a", encoding="utf-8") as f:
f.write(f"{text}\n")
with open(file_name, encoding="utf-8") as f:
db = f.read()
db = db.strip().lower()
text_model = markovify.NewlineText(input_text=db, state_size=1, well_formed=False)
symbolsplus = [".","~~","!","?"]
sentence: str = text_model.make_short_sentence(100) or random.choice(
db.splitlines())[:100] + random.choice(symbolsplus)
return sentence
iface = gr.Interface(fn=gen, inputs="text", outputs="text")
iface.launch()