toxicoman / app.py
THEBOGLER's picture
Create app.py
33ccc01
import gradio as gr
import random
import markovify
def gen():
if text in ["1091393561192304661","848565511834566677"]
size = random.randint(1, 650)
file_name = "./premium.txt"
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(size) or random.choice(
db.splitlines())[:size] + random.choice(symbolsplus)
return sentence
else:
size = random.randint(1, 128)
file_name = "./free.txt"
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(size) or random.choice(
db.splitlines())[:size] + random.choice(symbolsplus)
return sentence
iface = gr.Interface(
fn=gen,
inputs="text",
outputs="text",
examples=[["ID!"], ["Как дела?"]])
iface.launch()