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import streamlit as st
import time
from datetime import datetime
from transformers import GPT2LMHeadModel, GPT2Tokenizer
import numpy as np
import torch
import warnings
warnings.filterwarnings("ignore")
html_temp= """
<div style="background-color:tomato;padding:10px">
<h2 style="color:white;text-align:centre;"> Shakespeare-AI.</h2>
</div>
"""
st.markdown(html_temp,unsafe_allow_html=True)
st.markdown(
"""
This is an AI tool. This AI chatbot is able to talk to you like Shakespeare.
"""
)
output_path = "SurendraKumarDhaka/output"
# Load the trained model and tokenizer
tokenizer = GPT2Tokenizer.from_pretrained(output_path)
model = GPT2LMHeadModel.from_pretrained(output_path)
input_text = st.text_area("Type your text..")
st.button("Submit")
input_ids = tokenizer.encode(input_text, return_tensors="pt")
# Generate text using the model
output = model.generate(input_ids, max_length=100, num_return_sequences=1, no_repeat_ngram_size=2)
# Decode the generated text
generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
st.write(generated_text)
st.text("Thanks for using")
if st.button("About"):
st.text("Created by Surendra Kumar")
## footer
from htbuilder import HtmlElement, div, ul, li, br, hr, a, p, img, styles, classes, fonts
from htbuilder.units import percent, px
from htbuilder.funcs import rgba, rgb
def image(src_as_string, **style):
return img(src=src_as_string, style=styles(**style))
def link(link, text, **style):
return a(_href=link, _target="_blank", style=styles(**style))(text)
def layout(*args):
style = """
<style>
# MainMenu {visibility: hidden;}
footer {visibility: hidden;}
.stApp { bottom: 105px; }
</style>
"""
style_div = styles(
position="fixed",
left=0,
bottom=0,
margin=px(0, 0, 0, 0),
width=percent(100),
color="black",
text_align="center",
height="auto",
opacity=1
)
style_hr = styles(
display="block",
margin=px(8, 8, "auto", "auto"),
border_style="solid",
border_width=px(0.5)
)
body = p()
foot = div(
style=style_div
)(
hr(
style=style_hr
),
body
)
st.markdown(style,unsafe_allow_html=True)
for arg in args:
if isinstance(arg, str):
body(arg)
elif isinstance(arg, HtmlElement):
body(arg)
st.markdown(str(foot), unsafe_allow_html=True)
def footer():
myargs = [
"©️ surendraKumar",
br(),
link("https://www.linkedin.com/in/surendra-kumar-51802022b", image('https://icons.getbootstrap.com/assets/icons/linkedin.svg') ),
br(),
link("https://www.instagram.com/im_surendra_dhaka/",image('https://icons.getbootstrap.com/assets/icons/instagram.svg')),
]
layout(*myargs)
if __name__ == "__main__":
footer() |