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import sys
import time
import os
import streamlit as st
import concurrent.futures
from random import randint
st.markdown("<h1 style='text-align: center; color: white;'>Generate intresting stories with GPT</h1>", unsafe_allow_html=True)
st.markdown('')
st.markdown('')
# initializing session_state
os.system('pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cpu')
os.system('pip install transformers')
from transformers import pipeline, set_seed
generator = pipeline('text-generation', model='openai-gpt')
def generate(initial_text, length=50, 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.")
text = st.text_input('Enter something to begin with...', placeholder='I look at her, then i realised...', key="value")
st.write("Generating...")
if text:
for _ in range(50):
result = generate(text)
text=slice(result)
st.title(result.replace(text,""))
#with concurrent.futures.ThreadPoolExecutor() as executor:
# executor.submit(type_text, result.replace(text,""))
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