app.py

# Install libraries

import streamlit as st
from PIL import Image
import streamlit as st
from transformers import pipeline
import pandas as pd
import plotly.express as px
import matplotlib.pyplot as plt
from pathlib import Path
import base64
from st_pages import Page, add_page_title, show_pages
from streamlit_extras.badges import badge


# Config
# Initial page config

st.set_page_config(
     page_title='RetrAIced',
     page_icon=':🧠:',
     layout="wide",
     initial_sidebar_state="expanded",
)

def local_css(file_name):
    with open(file_name) as f:
        st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)

local_css("style.css")


def img_to_bytes(img_path):
    img_bytes = Path(img_path).read_bytes()
    encoded = base64.b64encode(img_bytes).decode()
    return encoded


show_pages(
        [
            Page("app.py", "Home", "🏠"),
            Page("pages/Question Answering.py", "Question Answering", ":grey_question:"),
            Page("pages/Speech Recognition.py", "Speech Recognition", ":speaking_head_in_silhouette:"),
            Page("pages/Summarization.py", "Summarization",":bookmark_tabs:"),
            Page("pages/Text to Image.py", "Text to Image",":lower_left_paintbrush:"),
            Page("pages/Text Classification.py",'Text Classification',":book:"),
            Page("pages/Image to text.py","Image to Text",":camera:"),
            Page("pages/Text Generation.py", "Text Generation", ":printer:"),
        ]
    )

#Add streamlit logo

st.image("logo retraced 2.png")
st.header("Intro")
st.write("##")
st.markdown(
    """
    Welcome to **RetrAIced**, a user-friendly app that unifies a diverse array of AI models, offering a seamless platform for exploration and interaction. From natural language processing to image recognition,
    the app provides a comprehensive experience, showcasing real-time demonstrations of predictive analytics and the fusion of various AI technologies. \n

    Language models (LLMs), especially those from Hugging Face, have transformed natural language understanding and generation, becoming indispensable in today's data-driven world. 
    RetrAIced exemplifies the collaborative potential of AI by breaking down barriers between different models, making their collective power accessible to users of all backgrounds. 
    The app invites developers, data enthusiasts, and the curious to explore and experiment with models for tasks like Question Answering, Speech Recognition, Summarization, Text 
    Classification, and Text Generation. This unified experience paves the way for a connected and intelligent digital world, where projects can become more versatile, efficient, and engaging.\n

    Join the creator on an exciting journey into the world of language models through RetrAIced, unlocking a universe of possibilities and transforming complexities into a unified and intuitive AI experience.

    """
    , unsafe_allow_html=True)


st.write("##")
st.write("##")

#Create 2 columns to add github repo and huggging face repo
left_col, right_col = st.columns(2)

with left_col:
    st.info('**Hugging Face: [@JavierGon12](https://huggingface.co/JavierGon12)**', icon="💡")

with right_col:

    badge(type='github',name='JaviGon12')
    #st.info('**GitHub: [@JaviGon12](https://github.com/JaviGon12)**', icon="💻")



st.image(image)