app.py

import sys
import time
import os
import streamlit as st
import concurrent.futures
from random import randint

# initializing session_state
st.session_state['new']=True
if st.session_state.new==True:
    os.system('pip install torch==1.10.2+cu113 torchvision==0.11.3+cu113 torchaudio===0.10.2+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html')
    os.system('pip install transformers')
    st.session_state.new=False 

from transformers import pipeline, set_seed

generator = pipeline('text-generation', model='openai-gpt')

def generate(initial_text, length=10, return_sequences=1):
    set_seed(randint(1,1000))
    result = generator(initial_text, max_length = length, num_return_sequences = return_sequences)
    return result[0]["generated_text"]

def slice(text, mak_length=10):
    return text[-mak_length:]

def type_text(text):
    for letter in text:
        sys.stdout.write(letter)
        time.sleep(0)

text = input("Enter something to begin with... ")
print(".\n.\n.\nGenerating\n.\n.\n.")

for _ in range(50):
    result = generate(text)
    text=slice(result)
    with concurrent.futures.ThreadPoolExecutor() as executor:
        executor.submit(type_text, result.replace(text,""))

#Streamlit
st.title("Story AI")
st.markdown("<h1 style='text-align: center; color: white;'>I can generate intresting stories</h1>", unsafe_allow_html=True)
st.markdown('')
st.markdown('')